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Research ArticleResearch Article: New Research, Development

Prenatal Ethanol Exposure Results in Cell Type, Age, and Sex-Dependent Differences in the Neonatal Striatum That Coincide with Early Motor Deficits

Adelaide R. Tousley, Ilana Deykin, Betul Koc, Pamela W. L. Yeh and Hermes H. Yeh
eNeuro 14 March 2025, 12 (3) ENEURO.0448-24.2025; https://doi.org/10.1523/ENEURO.0448-24.2025
Adelaide R. Tousley
Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755
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Ilana Deykin
Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755
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Betul Koc
Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755
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Pamela W. L. Yeh
Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755
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Hermes H. Yeh
Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755
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Abstract

Delayed motor development is an early clinical sign of fetal alcohol spectrum disorders. However, changes at the neural circuit level that underlie early motor differences are underexplored. The striatum, the principal input nucleus of the basal ganglia, plays an important role in motor learning in adult animals, and the maturation of the striatal circuit has been associated with the development of early motor behaviors. Here, we briefly exposed pregnant C57BL/6 dams to ethanol (5% w/w) in a liquid diet on embryonic days 13.5–16.5 and assessed the mouse progeny using a series of nine brief motor behavior tasks on postnatal days 2–14. Live brain slices were then obtained from behaviorally tested mice for whole-cell voltage- and current-clamp electrophysiology to assess GABAergic/glutamatergic synaptic activity and passive/active properties in two populations of striatal neurons: GABAergic interneurons and spiny striatal projection neurons. Electrophysiologically recorded spiny striatal projection neurons were also filled intracellularly with biocytin for post hoc analysis of dendritic morphology. We found that prenatal ethanol exposure resulted in developmental motor delays that were more severe in male mice and coincided with sex-dependent differences in the maturation of striatal neurons. Our findings indicate that prenatal ethanol exposure results in dynamic morphological and functional changes to the developmental trajectories of striatal neurons commensurate with the development of motor behaviors that differ between male and female mice.

  • alcohol
  • GABAergic interneurons
  • motor behavior
  • mouse model of FASD
  • spiny projection neurons

Significance Statement

Developmental differences in motor behaviors are an early clinical sign of fetal alcohol spectrum disorders (FASDs) but the neural circuit-level changes that contribute to these differences have not yet been determined. Here we demonstrate that a brief binge exposure to ethanol alters the motor development of neonatal mice in a sex-dependent manner and identify concurrent differences in the functional, synaptic, and morphological development of striatal GABAergic interneurons and medium spiny striatal projection neurons. These data suggest that altered development of striatal neurons may contribute to differences in early motor development observed in individuals with FASD.

Introduction

Developmental motor delays are among the earliest clinical symptoms observed in individuals diagnosed with fetal alcohol spectrum disorders (FASDs), an umbrella term encompassing the range of clinical diagnoses that may result from prenatal exposure to ethanol. Indeed, FASDs are the most common nongenetic cause of neurodevelopmental disorders worldwide (Lange et al., 2017; Wozniak et al., 2019). Individuals with FASD can develop motor differences including challenges with both gross and fine motor function, as well as sensorimotor integration (Doney et al., 2014, 2016; Lucas et al., 2016). However, changes at the level of neural circuits that contribute to early motor differences in individuals with FASD await elucidation.

As the principal input nucleus of the basal ganglia, the striatum contributes to motor learning in adult animals, and the maturation of the striatal circuit has been associated with the development of early motor behaviors (Dehorter et al., 2011; Graybiel and Grafton, 2015; Cataldi et al., 2021). Imaging studies indicate that prenatal ethanol exposure may modify both the size and functional connectivity of the developing striatum in individuals with FASD (Cortese et al., 2006; Mattson et al., 2011; Donald et al., 2016). Here, we investigated the effects of prenatal ethanol exposure on two populations of GABAergic striatal neurons, namely, GABAergic interneurons (GINs) and medium spiny striatal projection neurons (SPNs), asking how the altered maturation of these two populations of striatal neurons might relate to the development of motor behaviors during the first two postnatal weeks.

Despite comprising only a small proportion of striatal neurons (<1%), GINs play a critical role in regulating network activity in the striatum and in modulating striatal-mediated motor behaviors (Jin et al., 2014; Rueda-Orozco and Robbe, 2015; O’Hare et al., 2016; Xu et al., 2016; Lee et al., 2017; Martiros et al., 2018; Owen et al., 2018; Gazan et al., 2019; Gritton et al., 2019; Duhne et al., 2020; Holly et al., 2021). Prenatal ethanol exposure has been shown to alter the disposition and function of GINs in the adult striatum, and across the lifespan in several brain regions such as the cortex and hippocampus and in human postmortem tissue (De Giorgio et al., 2012; Skorput et al., 2015, 2019; Bengtsson Gonzales et al., 2020; Cuzon Carlson et al., 2020; Léger et al., 2020; Madden et al., 2020; Marguet et al., 2020). In contrast, direct and indirect pathway SPNs make up ∼95% of striatal neurons; increase and decrease motor behaviors, respectively; and, in concert, facilitate the onset of movement (Ferguson et al., 2011; Kravitz et al., 2012; Cui et al., 2013). Prenatal ethanol exposure can have a lasting impact on the morphology and function of SPNs in adult animals (Rice et al., 2012; Zhou et al., 2012; Cheng et al., 2018; Marquardt et al., 2020; Roselli et al., 2020). Although acute ethanol exposure has been shown to modify the function of striatal neurons in a subtype-specific manner in adult animals, how prenatal ethanol exposure may differentially affect striatal GINs and SPNs during early postnatal development has yet to be investigated (Blomeley et al., 2011; Marty and Spigelman, 2012; Patton et al., 2016).

We hypothesized that a brief binge-type exposure to ethanol in a liquid diet (5% w/w) from embryonic days (E) 13.5 to 16.5, a gestational period when GINs and SPNs are born in the ventral pallidum and actively migrate to populate the embryonic striatum, would alter the development of early motor behaviors in neonatal mice, as well as alter the functional, synaptic, and morphological development of striatal GINs and SPNs (Deacon et al., 1994; Olsson et al., 1998; Marin et al., 2000; Villar-Cerviño et al., 2015). We report here that prenatal ethanol exposure results in sex-dependent developmental motor differences concurrent with alterations in synaptic activity, passive/active electrical properties, and morphology of striatal neurons during the first two postnatal weeks.

Materials and Methods

Mice and prenatal ethanol exposure paradigm

All procedures involving mice were conducted in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals with the approval of the Institutional Animal Care and Use Committee (Protocol #00002109). Mice were housed on a 12 h light/dark cycle from 7 A.M. to 7 P.M. Nkx2.1Cre mice (The Jackson Laboratory, #008661) were crossed with Ai14Cre reporter mice (The Jackson Laboratory, #007914) on a C57BL/6 background, yielding offspring expressing a tdTomato reporter in embryonic GINs derived from the medial ganglionic eminence (MGE) beginning during embryonic development as diagramed in Figure 1A. Pregnant dams were fed 5% (w/w) ethanol in a liquid diet (L10251A, Research Diets) or a lab chow diet (5V5M, ScottPharma Solutions) from E13.5 to 16.5 with water available ad libitum (Xu et al., 2008). This ethanol exposure paradigm has been shown to routinely yield blood ethanol levels of ∼80 mg/dl (Skorput et al., 2015). Starting from birth, designated as postnatal day (P) 0, pups were cohoused with littermates and their female parent, maintained until designated behavioral testing days (P2, P4, P6, P8, P10, or P14), and then killed for electrophysiological experiments and morphological analyses.

Figure 1.
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Figure 1.

Experimental timeline and the influence of prenatal ethanol exposure on early postnatal sensorimotor development. A, Pregnant dams were exposed to 5% (w/w) ethanol in a liquid diet, or a control (lab chow) diet from embryonic day (E) 13.5–16.5, a period of significant migration of early-born striosomal striatal projection neurons (SPNs) and striatal GABAergic interneurons (GINs), to the developing striatum. After birth at postnatal day (P) 0, mice were maintained to postnatal time points, P2, P4, P6, P8, P10, or P14, assessed for the development of a set of nine sensorimotor behaviors, and then killed for whole-cell patch-clamp recordings and morphological analysis of biocytin dye-filled cells. B, A brief binge prenatal ethanol exposure does not alter the postnatal growth: body weight (g) of neonatal mice (3-way ANOVA: exposure: F(1,197) = 0.387, p = 0.535, sex: F(1,197) = 2.686, p = 0.103, postnatal day: F(5,197) = 223.659, p < 0.001, exposure × sex × postnatal day: F(5,197) = 1.416, p = 0.220, exposure × sex: F(1,197) = 2.847, p = 0.093, exposure × postnatal day: F(5,197) = 0.355, p = 0.879, sex × postnatal day: F(5,197) = 0.222, p = 0.953). C, Prenatal ethanol exposure resulted in decreased total motor score (TMS) in ethanol-exposed M mice, which significantly differed from control M mice at P8 (Kruskal–Wallis test, P2: H(3) = 3.602, p = 0.308, P4: H(3) = 4.883, p = 0.181, P6: H(3) = 2.778, p = 0.427, P8: H(3) = 11.343, p = 0.010, Dunn's post hoc test: ethanol M vs ethanol F: p = 0.009, P10: H(3) = 0.000, p = 1.000, P14: H(3) = 2.893, p = 0.408). D, Prenatal ethanol exposure delayed the transition from forelimb-driven pivoting behavior, to crawling, and eventually running in ethanol-exposed M mice resulting in decreased quadruped walking scores (Kruskal–Wallis tests, P2: H(3) = 4.509, p = 0.211, P4: H(3) = 3.647, p = 0.301, P6: H(3) = 1.407, p = 0.704, P8: H(3) = 0.937, p = 0.817, P10: H(3) = 3.568, p = 0.312, P14: H(3) = 8.728, p = 0.033). E, Prenatal ethanol exposure delayed the development of mature vertical screen task behavior in M mice (Kruskal–Wallis tests, P2: H(3) = 0.731, p = 0.866, P4: H(3) = 6.436, p = 0.096, P6: H(3) = 7.248, p = 0.064, P8: H(3) = 4.311, p = 0.230, P10: H(3) = 0.602, p = 0.896, P14: H(3) = 1.422, p = 0.700). F, Prenatal ethanol exposure altered surface righting times in a sex-dependent manner (2-way ANOVA, group: F(3,200) = 6.307, p = 0.0004, postnatal day: F(5,200) = 81.71, p < 0.0001, group × postnatal day: F(15,200) = 3.502, p < 0.001, Bonferroni’s post hoc tests: control M vs ethanol M: P2: t = 3.856, p < 0.001, ethanol M vs ethanol F: P6: t = 3.400, p < 0.01, control F vs control M: P2: t = 2.956, p < 0.05, P4: t = 5.498, p < 0.001, control M vs ethanol F: P4: t = 3.443, p < 0.01, P6: t = 3.226, p < 0.01, control F vs ethanol M: P4: t = 3.969, p < 0.001). G, Prenatal ethanol exposure altered negative geotaxis time (2-way ANOVA, group: F(3,200) = 3.502, p = 0.0164, postnatal day: F(5,200) = 131.3, p < 0.001, group × postnatal day: F(15,200) 0.7252, p = 0.7253, Bonferroni’s post hoc tests: P8: ethanol M vs control M, t = 3.447, p < 0.01). Data are presented as mean score or time, error bars are standard error of the mean (SEM), **p < 0.01, ***p < 0.001, control male versus ethanol male; ##p < 0.01, control female versus ethanol +p < 0.05; +++p < 0.001, control male versus control female; @@@p < 0.001: control female versus ethanol. Data supported by Extended Data Figure 1-1.

Figure 1-1

Prenatal ethanol exposure alters the development complex but not reflexive behaviors. Prenatal ethanol exposure results in significant differences in (A) surface righting score (B) negative geotaxis score (C) horizontal screen score, (D) cliff avoidance score, that depend on both sex and postnatal age (Kruskall-Wallis tests, surface righting score: P2: H(3) = 6.102, p = 0.107, P4: H(3) = 8.660, p = 0.034, Dunn’s post-hoc tests: ethanol F vs. control F: p=0.042, P6: H(3) = 3.176, p = 0.365, P8: H(3) = 0.796, p = 0.850, P10: H(3) = 0.000, p = 1.000, P14: H(3) = 0.000, p = 1.000; negative geotaxis score: P2: H(3) = 1.319, p = 0.725, P4: H(3) = 1.566, p = 0.667, P6: H(3) = 1.633, p = 0.652, P8: H(3) = 12.926, p = 0.005, Dunn’s post-hoc tests: ethanol M vs. ethanol F: P8: p= 0.007, P10: H(3) = 3.064, p = 0.382, P14: H(3) = 6.392, p = 0.094; horizonal screen score: P2: H(3) = 0.000, p = 1.000, P4: H(3) = 0.000, p = 1.000, P6: H(3) = 5.348, p = 0.148, P8: H(3) = 2.145, p = 0.543, P10: H(3) = 1.534, p = 0.674, P14: H(3) = 1.012, p = 0.798; cliff avoidance score: P2: H(3) = 9.160, p 0.027, Dunn’s post-hoc, control F vs. control M: P2: p=0.017, P4: H(3) = 3.190, p = 0.363, P6: H(3) = 5.861, p = 0.119, P8: H(3) = 0.159, p = 0.984, P10: H(3) = 1.250, p = 0.741, P14: H(3) = 5.279, p = 0.152). No differences were observed between groups in (E) tactile startle score, (F) auditory startle score, (G) forepaw grasp score, (H) hindpaw grasp score. Data are presented as mean score or time, error bars are standard error of the mean (SEM), **p<0.01, control male vs. ethanol male; +p<0.05, control male vs. control female; xp<0.05, ethanol male vs. ethanol female. Download Figure 1-1, TIF file.

Behavior

Between 9 A.M. and 1 P.M., on P2, P4, P6, P8, P10, or P14, mice of either sex were chosen at random and subjected to a series of tasks that assess sensorimotor behaviors, in a 14.5 cm × 25.5 cm × 10.5 cm clear plastic testing arena (Table 1; Fox, 1965). Mice completed three trials per task, excluding the quadruped walking task which was completed twice as animals noticeably decreased exploration of the testing arena between the second and third trials. Mice were allowed a 15–30 s break on a warming plate between each task and a 1 min break between each trial. Before each mouse was tested, the testing arena and materials were cleaned with Peroxigard (Virox Technologies, #29101). For behavioral tasks that assessed time to completion, surface righting time and negative geotaxis time, animals that failed to perform either behavior were assigned the maximum time for analysis: 30 and 45 s, respectively. To assess the overall performance of each mouse on all tasks, a total motor score (TMS) was computed as the sum of scores from the three trials (forepaw grasp, hindpaw grasp, tactile startle, auditory startle, horizontal screen, vertical screen, negative geotaxis, cliff avoidance) or two trials (quadruped walking) completed for each task. Performance on each task was then analyzed separately by postnatal age to determine which tasks contributed to the differences observed in TMS.

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Table 1.

Scoring parameters and description of neonatal motor behavioral testing tasks

Electrophysiology

Upon completion of behavioral experiments, all mice were asphyxiated with isoflurane, and acute coronal slices (250 µm) were prepared using a Leica VT1200s Vibratome (Leica Biosystems) beginning when the corpus callosum could be visualized connecting both hemispheres, posteriorly to when a fused anterior commissure could be discerned (4–6 slices per mouse depending on the developmental age). Slices were cut in oxygenated (95% O2, 5% CO2) cutting solution [in mM: 3 KCl, 7 MgCl2, 0.5 CaCl2, 1.25 NaH2PO4, 28 NaHCO3, 8.3 d-glucose, 110 sucrose, pH 7.4 (adjusted with 1 N NaOH)] and then maintained in artificial cerebrospinal fluid [aCSF; in mM: 124 NaCl, 5 KCl, 2 MgCl2, 2 CaCl2, 1.25 NaH2PO4, 26 NaHCO3, 10 d-glucose, pH 7.4 (adjusted with 1 N NaOH)], for a minimum of 1 h prior to electrophysiological recordings (Skorput et al., 2015; Delatour et al., 2019a,b; Tousley et al., 2022). For P2–P10 mice, slices were prepared in ice-cold cutting solution and then incubated for 20 min at 32°C followed by a 1 h incubation at room temperature (Delatour et al., 2019b). To optimize the survival of acute slices from P14 mice, slices were prepared in cutting solution at 32°C and maintained at 32°C in aCSF for at least 1 h prior to electrophysiological recording (Huang and Uusisaari, 2013).

Slices were placed in an acrylic recording chamber continuously perfused with oxygenated aCSF (0.5–1 ml/min) and maintained at 32°C. Striatal neurons were visualized with Hoffman modulation optics using a fixed-stage upright fluorescence microscope (Olympus BX41WI, Evident Corporation). Recording pipettes with resistances 8–10 MΩ were fabricated from borosilicate glass (Sutter Instrument; 1.5 mm; ID 0.86 mm) using a Flaming/Brown Micropipette Puller (Sutter Instrument, Model P80 PC). Whole-cell patch-clamp recordings were performed using a MultiClamp 700b amplifier (Molecular Devices), with signals low-pass filtered at 10 kHz (Clampex, version 9.2, Molecular Devices) and digitized at 25 kHz (Digidata 1320A, Molecular Devices).

Current-clamp recordings were conducted using a potassium gluconate-based internal solution (in mM): 100 K-gluconate, 2 MgCl2, 1 CaCl2, 11 EGTA, 10 HEPES, 30 KCl, 3 Mg + 2 ATP, 3 Na + GTP (adjusted to pH 7.3 with 1N KOH). Resting membrane potential (RMP) was determined immediately upon breaking into the cell membrane. Action potential (AP) firing rate was determined from a series of 8–10, 500 ms depolarizing current steps: P2 and P4–6 (0–80 pA by 10 pA), P8–10 (0–160 pA by 20 pA), and P14 (0–500 pA by 50 pA). Input resistance (IR) was calculated from a series of 8–10, 500 ms hyperpolarizing current steps: P2 and P4–6 (0 to −80 pA by 10 pA), P8–10 (0 to −160 pA by 20 pA), and P14 (0 to −500 pA by 50 pA). AP half-width and amplitude were determined from a single AP for each neuron: the second AP evoked by the threshold current was compared between neurons. AP threshold was determined as the current value when the slope (dV / dT) was >10 mV/ms. Capacitance and membrane time constant were calculated using a MultiClamp 700b commander with a 10 mV voltage step and a sampling rate of 0.4 kHz. Analysis of current-clamp recording data was conducted using Clampex 9.2 software (Molecular Devices).

Spontaneous postsynaptic currents (sPSCs) were monitored under whole-cell voltage clamp using a cesium methanesulfonate-based internal solution: 30 Cs-methanesulfonate, 10 HEPES, 0.5 EGTA, 8 NaCl, 10 Na-phosphocreatine, 4 Mg2+ ATP, and 0.4 Na+ GTP adjusted to pH 7.3 with 1 N CsOH, isolating glutamatergic synaptic currents by recording at a holding potential of −70 mV and GABAergic synaptic currents at a holding potential of 0 mV. Analysis of average frequency, amplitude, and charge of sPSCs from 2 min epochs of synaptic activity was performed using Mini Analysis software with manual confirmation of each event (version 6.0.7, Synaptosoft).

Neuronal morphology

Internal solutions for both voltage-clamp and current-clamp recordings contained 2% Neurobiotin tracer (SP1120, VectorLabs), which filled neurons during whole-cell recordings (2–15 min). The filled cells were prepared for imaging and tracing as previously described (Delatour et al., 2019a,b; Tousley et al., 2022). Briefly, slices (250 μm) were fixed in 4% paraformaldehyde (PFA)/0.1 M phosphate-buffered saline (PBS) overnight and then maintained in 30% sucrose/0.1 M PBS prior to processing at 4°C. Slices were washed in 0.1 M PBS, then incubated for 30 min in 30% hydrogen peroxide (H2O2) in 0.1 M PBS followed by a 0.1 M PBS wash, and a second 30 min incubation in 30% H2O2 in 0.1 M PBS. Slices were then permeabilized and blocked in 10% NGS in 0.4% Triton X-100/0.1 M PBS for 2 h and then placed overnight at 4°C in 1:1,000 Dylight-488 streptavidin (#SA-5488-1, Vector Biosciences). Z-stack images of filled SPNs were captured at 20× magnification using a Zeiss LSM 510 laser-scanning confocal microscope (Zeiss, with a HENE 543 Laser using a Plan-Apochromat 20×/0.75 NA). Filled cells were traced and analyzed for soma area (µm2) and dendritic morphology: numbers of dendrites, mean nodes per dendrite, and mean dendritic length (µm). Sholl analysis was conducted using Neurolucida 360 software to assess the number of intersections per incremental 10 µm radius extending from the soma (version 2021.1.3, MBF Bioscience).

Immunohistochemistry

Nkx2.1Cre × tdTomato mice were transcardially perfused with 4% PFA/0.1 M PBS. Brains were dissected and immersed overnight in 4% PFA/0.1 M PBS, followed by incubation for 1 d in 15% sucrose/0.1 M PBS, and then 1 d in 30% sucrose/0.1 M PBS. Cryosections (30 µm) were prepared using a sliding microtome and incubated overnight in 0.1 M PBS. Sections were permeabilized and blocked with 10% NGS in 0.25% Triton X-100/0.1 M PBS for 30 min and then incubated overnight at 4°C in 1:200 CTIP2 [25B6] primary antibody (ab18465, Abcam) in 0.1 M PBS. Sections were incubated overnight in 1:1,000 goat anti-rat Alexa Fluor-488 secondary antibody (A110006, Molecular Probes) at 4°C. Following an overnight incubation in 0.1 M PBS, sections were mounted and counterstained with 4′,6-diamidino-2-phenylindole (DAPI) and then coverslipped with FluorSave Reagent (#345789, Calbiochem). Images of fluorescent tdTomato+ striatal GINs and CTIP2+ SPNs were obtained using a CCD camera (Hamamatsu) mounted on an upright spinning disk confocal microscope with a 10× 0.30 NA objective (Olympus BX61WI, Evident). Digitized imaged were captured using Olympus cellSens software (version 1.18, Evident) and pseudocolored using FIJI (NIH; Schindelin et al., 2012).

Statistical analysis

Three-way ANOVAs with experimental exposure (control vs ethanol), sex (female vs male), and postnatal day (for behavioral analyses, P2, P4, P6, P8, P10, and P14; for analyses of function and morphology, P2, P4–6, P8–10, and P14) as factors were performed using IBM SPSS (IBM SPSS Statistics for Windows, version 28.0). Where significant main effects or interactions were indicated, one-way ANOVAs comparing groups, control female, ethanol female, control male, and ethanol male, were performed for each postnatal age, followed by Bonferroni’s post hoc analyses or Kruskal–Wallis tests, with Dunn's post hoc analyses in cases where data were not normally distributed using GraphPad Prism software (GraphPad Prism, version 5.03). Normality was assessed using Shapiro–Wilk tests. For scored behavioral tasks and dendritic number, ordinal logistic regressions were performed using SPSS following assessment for multicollinearity, with Wald post hoc tests. Where significant exposure, sex, or postnatal main effects or interactions were determined, comparisons between groups were made at each designated postnatal day with Kruskal–Wallis tests and Dunn's post hoc analyses (IBM SPSS Statistics for Windows). Trends were reported where p values were <0.070.

Data were presented as mean ± standard error of mean (SEM). For all experiments, experimenters were blinded to experimental group. No more than one male and female animal per litter was used at a given time point, with animals from minimum of three litters used per time point. For electrophysiological recording experiments, cells were evenly sampled from all four striatal quadrants, dorsolateral, dorsomedial, ventrolateral, and ventromedial, with no more than one cell per quadrant per animal from at least three animals included for analysis. For behavioral experiments, 4–19 animals per group were assessed at each time point. Sample size for each experiment was determined based upon power analysis of preliminary data produced by our lab and previously published literature with the minimal number of animals used to obtain an α = 0.05 and 1-β = 0.8 (G*Power 3.1, Heinrich Heine University).

Results

A brief binge-type exposure to ethanol delays the development of motor behaviors in a sex-dependent manner

Both chronic and acute prenatal binge exposures to ethanol can result in developmental motor differences in rodent models (Fish et al., 1981; Molina et al., 1987; Schambra et al., 2015). We first asked if our model of a brief binge exposure to ethanol might alter the development of early motor responses to sensory stimuli. To evaluate early motor development, we employed a series of nine brief behavioral tasks first developed by Fox (1965) (Bignami, 1996; Crawley, 2012; Michetti et al., 2022; Table 1). Behavioral performance was assessed in male and female neonates on P2, P4, P6, P8, P10, or P14 (control: female: N = 63 mice, male: N = 70 mice; ethanol: female: N = 42, male: N = 46 mice; Table 2). Mice were assessed between P2 and P14, as P2 was when we first observed forelimb-driven pivoting behavior in some but not all neonates, while mice older than P14 were reluctant to complete several of the behavioral tasks, as previously reported (Armstrong et al., 2019). Animals were scored by blinded experimenters with higher scores indicating more mature behaviors (Table 1).

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Table 2.

Mice assessed for neonatal motor behaviors by postnatal age

Our prenatal ethanol exposure did not result in gross differences in physical development insofar as the body weight (g) of behaviorally tested mice of either sex was unaltered over the first two postnatal weeks (Fig. 1B). Given these data, we asked if there was an overall effect of prenatal ethanol exposure on motor task performance and if that effect differed between female and male mice. A TMS was calculated for each tested animal as the sum of scores for each task over the course of three trials (forepaw grasp, hindpaw grasp, tactile startle, auditory startle, horizontal screen, vertical screen, negative geotaxis, cliff avoidance) or two trials (quadruped walking). Prenatal ethanol exposure resulted in significantly lower TMS indicative of delayed motor development (ordinal logistic regression, p < 0.001; Table 3, Fig. 1C). Additionally, while we did not observe an effect of biological sex on TMS, we identified a significant exposure × sex × postnatal day interaction (ordinal logistic regression, p < 0.001; Table 3). These findings suggest that prenatal ethanol exposure results in developmental motor differences that are dependent on both sex and the time point assessed.

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Table 3.

Neonatal motor behavioral task statistics

Analysis of performance by task revealed that behavioral differences in mice exposed prenatally to ethanol were present in more complex tasks requiring coordinated movement and/or the integration of sensory and motor information: with an overall effect on quadruped walking score (Fig. 1D) and exposure × sex × postnatal day interactions for quadruped walking score, vertical screen score (Fig. 1E), surface righting score (Extended Data Fig. 1-1H), negative geotaxis score (Extended Data Fig. 1-1G), horizontal screen score (Extended Data Fig. 1-1C), and cliff avoidance score (Extended Data Fig. 1-1F; ordinal logistic regression, exposure: quadruped walking: p < 0.001, vertical screen: p < 0.001; exposure × sex × postnatal day: quadruped walking: p < 0.001, vertical screen: p < 0.001, surface righting score: p = 0.001, negative geotaxis: p = 0.001, horizontal screen: p ≤ 0.001, cliff avoidance score: p < 0.001; Table 3). Those behavioral tasks driven by simple reflex loops, such as tactile startle score (Extended Data Fig. 1-1A), auditory startle score (Extended Data Fig. 1-1D), forepaw grasp score (Extended Data Fig. 1-1B), and hindpaw grasp score (Extended Data Fig. 1-1E), were unchanged in mice with prenatal ethanol exposure (Table 3).

We next asked when behavioral differences might be most pronounced between groups, control female, ethanol female, control male, and ethanol male, during the first two postnatal weeks. We found that prenatal ethanol exposure resulted in significantly lower TMS in male mice at P8 relative to control-fed male mice (Fig. 1C). While no significant between group differences were identified at a single postnatal day in scoring of quadruped walking behavior, the most distinct between group differences were observed at P14, when animals are making the progression from immature crawling behavior involving all four limbs (score = 2), to running, indicated by an elevated trunk, decreased hindlimb slips, more synchronous fore and hindlimb movements, and a faster overall speed (score, 3), with fewer ethanol-exposed male mice demonstrating running behavior (31 vs 68% in control-fed males; Fig. 1D; Fox, 1965; Altman and Sudarshan, 1975). Differences were less pronounced during the onset of early postnatal pivoting behavior, involving only the use of forelimbs (score, 1), or in the transition from pivoting to crawling (Fig. 1D). The trends toward between group differences in vertical screen task performance were also the most pronounced at P6, when animals are first able to grasp and hold their position on the vertical screen (score, 1) but before they are able to climb the vertical screen (score, 2), with ethanol-exposed male mice again demonstrating the least mature behaviors (p = 0.064; Fig. 1E).

In contrast to scored behavioral tasks which allowed us to assess the absence or presence of early motor behaviors across development, we also assessed the time it took mice to complete negative geotaxis and surface righting behaviors to determine if more subtle alterations in motor behavior might be present but not accounted for by observer scoring (Extended Data Fig. 1-1G,H). Unlike the sex-dependent effects of prenatal ethanol exposure on negative geotaxis score, we determined that prenatal ethanol exposure significantly increased negative geotaxis times in both female and male mice, and analysis of between group differences at individual postnatal days suggested that the prenatal ethanol exposure resulted in significantly increased negative geotaxis times in male mice relative to control-fed male mice at P8 (3-way ANOVA, exposure: p = 0.011; Fig. 1G, Table 3).

Similarly, although comparison of surface righting scores did not reveal a significant main effect of biological sex, comparison of surface righting times did demonstrate significant effects of age and sex-dependent effects of ethanol exposure with age-matched female mice generally demonstrating more mature behaviors than male mice in both ethanol and control-fed mice that depended on the postnatal day assessed (three-way ANOVA: sex: p = 0.002; exposure × sex: p = 0.041, sex × postnatal day: p = 0.003; Fig. 1F, Extended Data Fig. 1-1H, Table 3). Comparisons of surface righting times between groups also suggested that prenatal ethanol exposure may differentially alter developmental trajectories of surface righting behavior in male and female mice (three-way ANOVA: exposure × postnatal day: p = 0.025; exposure × sex × postnatal day: p = 0.001). Prenatal ethanol exposure resulted in increased surface righting times in male mice relative to control-fed male mice at P2. However, the effects of prenatal ethanol exposure on surface righting time in female mice were more complex (Fig. 1F). Although ethanol-exposed female mice demonstrated increased surface righting times relative to control-fed and ethanol-exposed male mice at P6, this was not consistent across early postnatal development. At P4, ethanol-exposed female mice, as well as ethanol-exposed and control-fed male mice, demonstrated decreased surface righting times when compared with those of control-fed female mice (Fig. 1F). These data suggest that prenatal ethanol exposure can result in both improved performance (P4) and in deficits (P6) in surface righting behavior in female mice depending on the postnatal day.

In summary, prenatal ethanol exposure resulted in delayed development of motor behaviors in male mice, while the effects of exposure on female mice differed depending upon both the age of the mice and the behavior assessed. The delays in motor development observed in male animals were apparent at multiple postnatal ages (P2, P8, P14) and found particularly in tasks requiring coordinated motor responses (quadruped walking, vertical screen, surface righting, and negative geotaxis times) rather than simple tasks requiring reflexive behaviors. Differences in behaviors are subtle and made more evident when assessed using quantitative (surface righting time) rather than qualitative methods of assessment (surface righting score).

Prenatal ethanol exposure differentially alters the maturation of active and passive properties of striatal neurons in male and female mice

Concurrent with the onset of increasingly complex motor behaviors during the first postnatal month, striatal GINs and SPNs gradually develop adult-like firing and membrane properties (Tepper et al., 1998; Belleau and Warren, 2000; Plotkin et al., 2005; Chesselet et al., 2007). These include changes in the characteristics of APs: increased AP firing rate, and decreased half-width, as well as shifts in membrane properties that confer decreased neuronal excitability, notably more depolarized RMP and AP threshold, and decreased IR. The development of mature quadruped walking behavior has been closely associated with the functional maturation of SPNs in neonates during this postnatal time period (Dehorter et al., 2011). How striatal GINs mature during this period, and how the development of striatal GINs and SPNs may be altered in early postnatal development following a prenatal ethanol exposure, has yet to be explored. Thus, we asked if prenatal ethanol exposure might alter the functional development of striatal GINs and SPNs. To differentiate striatal GINs and SPNs in acute slices during whole-cell patch-clamp recording experiments, we crossed the Nkx2.1Cre mouse line with a Ai14Cre reporter mice, resulting in tdTomato expression in MGE-derived striatal GINs (Xu et al., 2008; Fig. 2A,B). In addition, we confirmed the identity of SPNs and GINs based on their distinctive morphological properties by filling cells with 2% neurobiotin dye during whole-cell recording and by their distinctive firing properties (Figs. 2A–D, 3B, 4B).

Figure 2.
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Figure 2.

Identifying striatal GABAergic interneurons (GINs) and striatal projection neurons (SPNs) in acute cortical slices from Nkx2.1Cre × TdTomato mice. A, Striatal GINs and SPNs were identified during whole-cell patch-clamp recordings from 250 µm acute coronal slices from Nkx2.1Cre × Tdtomato mice based on tdTomato (red) expression in MGE-derived GABAergic interneurons. Top, Schematic of whole-cell patch-clamp recordings from striatal neurons; middle, 40× magnification Hoffman modulated contrast image of acute slice during recording from a striatal GIN and a neighboring SPN (arrow); bottom, fluorescent tdTomato + striatal GIN (white) and a neighboring SPN (arrow). B, A SPN-specific nuclear immunomarker CTIP2 (green) does not colabel td-Tomato + GINs (red) in the dorsal striatum of a P6 Nkx2.1Cre mice, with a DAPI-counterstain (blue). C, Image of a neurobiotin-filled P14 striatal GIN after recording, pseudocolored (red). D, Image of a neurobiotin-filled P14 SPN after recording (green). Scale bars, 20 µm.

Striatal GINs: AP firing properties

We first asked if prenatal ethanol exposure altered intrinsic excitability of striatal GINs by assessing the firing rate and AP characteristics (AP threshold, AP half-width, or AP peak amplitude) in response to a series of depolarizing current steps: P2 and P4–6 (0–80 pA by 10 pA), P8–10 (0–160 pA by 20 pA), and P14 (0–500 pA by 50 pA). At P2, striatal GINs from female mice displayed an increased firing rate regardless of group (Fig. 3A). However, only GINs from ethanol-exposed female mice had firing rates that significantly differed from ethanol-exposed or control-fed male mice. The firing rate of striatal GINs from ethanol-fed female mice did not differ from control-fed female mice (Fig. 3A). At P4–6, firing rate differed significantly between groups, with the highest firing rates observed in striatal GINs from control-fed male mice which were increased relative ethanol-exposed males and females, as well as control females (Fig. 3A). At P8–10, GIN firing rate again differed significantly between groups, with the largest differences in firing rate observed between striatal GINs in the ethanol-exposed and control-fed female and male cohorts (Fig. 3A).

Figure 3.
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Figure 3.

Prenatal ethanol exposure alters the functional development of striatal GABAergic interneurons (GINs) in early postnatal mice in an age- and sex-dependent manner. A, Prenatal ethanol exposure modifies the firing rate (Hz) of striatal GIN in an age- and sex-dependent manner. At P2, striatal GINs from ethanol-exposed F mice had higher firing rates relative to those from ethanol-exposed and control-fed M mice (2-way ANOVA, group: F(3,450) = 10.56, p < 0.0001, current: F(8,450) = 24.52, p < 0.0001, group × current F(24,450) = 1.282, p = 0.1691, Bonferroni’s post hoc tests: ethanol F vs ethanol M: 60 pA: t = 2.981, p < 0.05, 70 pA: t = 3.474, p < 0.01, 80 pA: t = 3.620, p < 0.01; ethanol F vs control M: 70 pA: t = 3.242, p < 0.05, 80 pA: t = 3.574, p < 0.01). At P4–6, firing rate significantly differed between groups with striatal GINs: control-fed M mice demonstrated higher firing rates relative to those from ethanol-exposed M and F and control-fed M mice (2-way ANOVA, group: F(3,468) = 4.934, p = 0.0022, current: F(8,468) = 14.26, p < 0.001, group × current: F(24,468) = 0.4322, p = 0.9922). At P8–10 and P14, firing rate again significantly differed between groups with striatal GINs from ethanol-fed mice demonstrating higher firing rates relative to those from control-fed mice (2-way ANOVAs, P8–10: group: F(3,621) = 11.15, p < 0.0001, current: F(8,621) = 28.31, p < 0.0001, group × current: F(24,621) = 0.4459, p = 0.9904; P14: group: F(3,726) = 4.871, p = 0.0023, current: F(10,726) = 56.96, p < 0.0001, group × current: F(30,726) = 0.3229, p = 0.9998). B, Example traces of voltage responses of striatal GINs following depolarizing current steps from control-fed female mice at P2 and P14. C, Prenatal ethanol exposure significantly depolarized AP threshold in GINs from F mice relative to those from control-fed F mice at P2, hyperpolarized AP threshold in GINs from F and M mice relative to control-fed F and M mice at P14, and control-fed F relative to control-fed M mice but did not alter AP threshold from P4–10 (1-way ANOVAs, P2: F(3,50) = 4.298, p = 0.005, Bonferroni’s post hoc tests: ethanol F vs control F, p = 0.005, P4–6: F(3,50) = 0.949, p = 0.424, P8–10: F(3,69) = 2.859, p = 0.043, P14: F(3,69) = 5.352, p = 0.002 Bonferroni’s post hoc tests: ethanol F vs control F, p = 0.003, ethanol M vs control M: p = 0.027, control F vs control M: p = 0.023). D, Prenatal ethanol exposure significantly increased GIN AP half-width in M mice relative to those from control-fed M or F, or ethanol-exposed F mice at P2, but did not affect GIN AP half-width P4–14 (1-way ANOVAs, P2: group: F(3,50) = 5.639, p = 0.002, Bonferroni’s post hoc tests: ethanol M vs control M, p = 0.002, ethanol M vs ethanol F, p = 0.014, ethanol M vs control F, p = 0.014; P4–6 F(3,50) = 1.335, p = 0.273; P8–10 F(3,69) = 0.699, p = 0.556; P14: F(3,61) = 1.086, p = 0.362). Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least three animals per group. *p < 0.05, control male versus ethanol male; ##p < 0.01, control female versus ethanol female; +p < 0.05, control male versus control female; @@p < 0.01, control female versus ethanol male; $p < 0.05, $$p < 0.01, control male versus ethanol female; xp < 0.05, xxp < 0.01, ethanol male versus ethanol female. Data supported by Extended Data Figures 3-1, 3-2.

Figure 3-1

Prenatal ethanol exposure differentially effects the intrinsic properties of striatal GINs from female and male mice, depending on the postnatal day. (A) IV curves for responses to hyperpolarizing current steps during whole-cell current clamp recordings of striatal GINs during the first postnatal week (2-way ANOVAs, P2: group: F(3,450)= 7.015, p=0.=0001, current: F(8,450) = 63.35, p<0.001, group x current: F(24,450)=0.2834, p=0.9996; P4-6: group: F(3,468)= 11.35, p<0.001, current: F(8,468) = 38.60, p<0.001, group x current: F(24,468)=0.2114, p=1.000; P8-10: group: F(3,621)= 25.22, p<0.001, current: F(8,621) = 74.29, p<0.001, group x current: F(24,621)=0.2189, p=0.9890; P14: group: F(3,671)= 15.53, p<0.001, current: F(10,671)= 83.66, p<0.001, group x current: F(30,671)=0.08655, p=1.000. (B) Prenatal ethanol exposure resulted in sex-dependent differences in resting membrane potential (RMP) that varied based on the postnatal day, though no significant differences were observed between groups on individual postnatal days (1 way ANOVAs, P2: F(3,50)= 2.008, p=0.125, P4-6: F(3,50)= 1.293, p=0.287, P8-10: F(3,69)= 2.244, p=0.091, P14: F(3,61)=0.642, p=0.591). (C) Input resistance (IR) (mΩ) and (D) membrane time constant (ms) were unaffected in striatal GINs were unaffected by prenatal ethanol exposure, sex or postnatal day (1-way ANOVAs, IR: P2: F(3,50) = 0.611, p =0.649 P4-6: F(3,50) = 0.219, p =0.883; P8-10: F(3,69) = 0.557, p =0.302; P14: F(3,61) = 0.611, p =0.610; membrane time constant: P2: F(3,50) = 1.318, p=0.279; P4-6: F(3,61) = 0.689, p =0.563; P8-10: F(3,69) = 1.239, p =0.302; P14: F(3,61) = 1.277, p =0.294). Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least 3 animals per group. $p<0.05, control male vs. ethanol female. Download Figure 3-1, TIF file.

Figure 3-2

Prenatal ethanol exposure does not alter the action potential (AP) amplitude of developing striatal GABAergic interneurons (GINs) or striatal projection neurons (SPNs). (A) The peak amplitude of APs (pA) did not differ in striatal GINs or (B) SPNs following prenatal ethanol exposure. Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least 3 animals per group. Download Figure 3-2, TIF file.

Prenatal ethanol exposure also differentially altered the AP threshold and AP half-width of developing striatal GINs from male and female mice depending on the postnatal day (three-way ANOVAs, AP threshold: exposure × sex × postnatal day: p = 0.021, AP half-width: exposure × sex × postnatal day: p < 0.001; Table 2; Fig. 3C,D). At P2, prenatal ethanol exposure significantly altered both AP half-width and AP threshold (Fig. 3C,D). Prenatal ethanol exposure significantly increased AP half-width in striatal GINs recorded from male mice, relative to control-fed male mice (Fig. 3D). AP threshold was more depolarized in striatal GINs recorded from ethanol-exposed female mice relative to control-fed female mice, while there was only a trend toward a similar depolarization of AP threshold in those from ethanol-exposed male mice, relative to those from control-fed male mice (p = 0.061; Fig. 3C). By the end of the second postnatal week (P14), prenatal ethanol exposure resulted in hyperpolarized AP thresholds in striatal GINs recorded from both female and male mice relative to control-fed female and male mice, respectively (Fig. 3C). The peak amplitude of APs recorded from striatal GINs was unaffected by prenatal ethanol exposure (Extended Data Fig. 3-1A).

These data suggest that prenatal ethanol exposure differentially alters the development of striatal GINs in male and female mice. During early postnatal development, striatal GINs in female mouse pups exposed prenatally to ethanol developed early increases in AP firing, despite more depolarized AP thresholds that transiently resolved at P4–6, but were again present at P8–10 and P14 (Fig. 3A,C). In contrast, striatal GINs from male mice failed to mature appropriately following prenatal ethanol exposure, as indicated by wider APs at P2, and an absence of increased GIN firing rate at P4 (Fig. 3A,D). However, by the end of the first postnatal week striatal GINs from both male and female mice displayed an increased excitability with increased firing rates and more hyperpolarized AP thresholds (Fig. 3A,C).

SPNs: AP firing properties

As we found in striatal GINs, prenatal ethanol exposure resulted in differential effects on SPN AP firing rate depending on sex and postnatal age (Fig. 4A). At P2, prenatal ethanol exposure had no significant effect on AP firing rate when SPNs from control-fed and ethanol-exposed cohorts of either sex were compared (Fig. 4A). However, significant between group differences were observed at P4–6, P8–10, and P14 (Fig. 4A). At P4–6, prenatal ethanol exposure resulted in an increased firing rate in SPNs from female mice, relative to those from ethanol-exposed male mice (Fig. 4A). In contrast, at P8–10, SPNs from ethanol-exposed male mice displayed an increase in firing rate relative to those from ethanol-exposed female mice (Fig. 4A). At P14 the effects of prenatal ethanol exposure differed between groups depending on the size of the current step. At low levels of current input, SPNs from ethanol-exposed female mice displayed a higher firing rate (Fig. 4A). With increasing depolarizing current steps, SPNs from male mice exposed prenatally to ethanol displayed lower firing rates relative to control-fed male mice (Fig. 4A). SPNs from both control-fed and ethanol-exposed female mice also had lower firing rates compared with those from control-fed male mice.

Figure 4.
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Figure 4.

Prenatal ethanol exposure alters the functional development of striatal spiny projection neurons (SPNs) in early postnatal mice in an age- and sex-dependent manner. A, Prenatal ethanol exposure modifies the firing rate of SPN in an age- and sex-dependent manner. While no significant differences were observed between groups: control F, ethanol F, control M, and ethanol M at P2, group-dependent differences were observed at P4–6, P8–10, and P14, with group differences varying based on current input at P14 (2-way ANOVAs, P2: F(3,531) = 0.6138, p = 0.6063, current: F(8,531) = 44.82 p < 0.0001, group × current: F(8,531) = 0.7447, p = 0.8059; P4–6: group: 2-way ANOVA, F(3,567) = 6.923, p = 0.0001, current: F(8,567) = 81.60, p < 0.001, group × current: F(24,567) = 0.7128, p = 0.8409; P8–10: group: F(3,729) = 12.97, p < 0.001, current: F(8,729) = 99.70, p < 0.001, group × current: F(24,729) = 0.6896, p = 0.8647; P14: group: F(3,803) = 7.874, p < 0.001, current: F(8,803) = 104.4, p < 0.0001, group × current: F(24,803) = 1.676, p = 0.0136). At P8, prenatal ethanol exposure significantly increased SPN firing rate in M mice relative to ethanol-exposed F mice. At P14, prenatal ethanol exposure significantly decreased SPN firing rate in M mice relative to control-fed M mice, while control-fed M mice demonstrated higher firing rates than both control-fed and ethanol-exposed F mice (Bonferroni’s post hoc tests, ethanol M vs control M: 500 pA: t = 2.864, p < 0.05, control M vs control F: 450 pA: t = 2.854, p < 0.05, 500 pA: t = 3.856, p < 0.01, control M vs ethanol F: 500 pA: t = 4.050, p < 0.001). B, Example traces of voltage responses of striatal GINs following hyperpolarizing and depolarizing current steps from control-fed female mice at P2 and P14. C, Prenatal ethanol exposure significantly depolarized AP threshold at P2 and hyperpolarized at P14 in SPNs from M mice, relative to those from control-fed M mice, and in depolarized AP threshold in SPNs from F mice relative to control-fed M mice at P14 but did not alter AP threshold between P4 and 10 (1-way ANOVAs, P2: F(3,59) = 3.862, p = 0.014, Bonferroni’s post hoc test: ethanol M vs control M: p 0.009; P4–6: F(3,66) = 1.039, p = 0.381; P8–10: F(3,81) = 1.180, p = 0.323; P14: F(3,73) = 5.055, p = 0.003, Bonferroni’s post hoc tests: ethanol M vs control M: p 0.020, ethanol F vs control M: p = 0.010). D, Prenatal ethanol exposure did not alter the SPN AP half-width (1-way ANOVAs, P2: F(3,59) = 1.384, p = 0.257, P4–6: F(3,66) = 1.979, p = 0.126, P8–10: F(3,81) = 1.017, p = 0.389, P14: F(3,73) = 0.419, p = 0.740). Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least three animals per group. *p < 0.05, control male versus ethanol male; +p < 0.05, ++p < 0.01, control male versus control female; $p < 0.05,$$$p < 0.001, control male versus ethanol female; xp < 0.05, ethanol male versus ethanol female. Data supported by Extended Data Figures 4-1, 4-2.

Figure 4-1

Prenatal ethanol exposure differentially effects the intrinsic properties of striatal SPNs from female and male mice, depending on the postnatal day. (A) The effects of prenatal ethanol exposure on IV curves for responses to hyperpolarizing current steps during whole-cell current clamp recordings of SPNs during the first postnatal week vary by group (2-way ANOVAs, P2: group: F(3,531)= 3.047, p=0.0284, current: F(8,531) = 151.8, p<0.001, group x current: F(24, 531)=0.2490, p=0.9999; P4-6: group: F(3,540)= 13.10, p<0.001, current: F(8,540) = 169.0, p<0.001, group x current: F(24, 540)=0.4369, p=0.9999; P8-10: group: F(3,765)= 14.67, p<0.001, current: F(8,765) = 164.9, p<0.001, group x current: F(24,765)=0.4551, p=0.9890; P14: group: F(3,770)= 3.537, p=0.0145, current: F(10,770) = 243, p<0.001, group x current: F(30,770)=0.1753, p=1.000). (B) Prenatal ethanol exposure resulted in sex-dependent differences in SPN RMP that varied based on the postnatal day: At P4-6: prenatal ethanol exposure resulted in significantly depolarized RMP in male mice relative to control-fed male and female mice (1-way ANOVA: F(3,66) = 4.632, p=0.005, Bonferroni post-hoc tests: ethanol M vs. control F: p=0.023, ethanol M vs control F: p=0.004). SPN RMP was unaltered by prenatal ethanol exposure at P2, 8-10 or P14 (1-way ANOVAs, P2: F(3,59) = 1.790, p =0.159; P8-10: F(3,81) = 0.796, p =0.499; P14: F(3,73) = 1.042, p = 0.379). (C) Prenatal ethanol exposure did not alter the IR of SPNs (1-way ANOVAs, P2: F(3,59) = 0.946, p =0.424; P4-6: F(3,66) = 1.039, p =0.202; P8-10: F(3,81) = 1.182, p =0.322; P14: F(3,73) = 1.034, p=0.383). (D) Prenatal ethanol exposure results in decreased membrane time constant in SPNs from ethanol-exposed M mice at P8-10, relative to control-fed F mice, but did not alter membrane time constant in F mice. (1-way ANOVAs, P2: F(3,59) = 1.175, p =0.327; P4-6: F(3,66) =0.934, p =0.430; P8-10: F(3,81) = 3.405, p =0.024; P14: F(3,73) = 2.283, p = 0.093. Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least 3 animals per group. *p<0.05, control male vs. ethanol male; @@p<0.01, control female vs. ethanol male. Download Figure 4-1, TIF file.

Figure 4-2

Prenatal ethanol exposure does not alter membrane capacitance of developing striatal GABAergic interneurons (GINs) or striatal projection neurons (SPNs) (A) Membrane capacitance was unaffected by prenatal ethanol exposure in striatal GINs or (B) SPNs. Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least 3 animals per group. Download Figure 4-2, TIF file.

SPNs also significantly differed in AP threshold following prenatal ethanol exposure depending on postnatal age, with a trend toward differences in the effects of prenatal ethanol exposure on APs recorded from SPNs from male and female animals depending on the postnatal day (three-way ANOVA, exposure × sex × postnatal day: p = 0.051, exposure × postnatal day: p < 0.001; Table 4, Fig. 4C). At P2 prenatal ethanol exposure resulted in depolarized AP firing threshold in SPNs from male mice relative to those from control-fed male mice, while SPN AP threshold was unaffected in female mice (Fig. 4C). At P14, prenatal ethanol exposure resulted in a hyperpolarized AP threshold in both male and female mice relative their control-fed male and female counterparts (Fig. 4C). The half-width of APs recorded from SPNs was also affected by prenatal ethanol exposure (three-way ANOVA, exposure: p < 0.001; Fig. 4D, Table 4). SPN half-widths tended to be increased in mice exposed prenatally to ethanol; however, no significant differences in AP half-width were observed between groups on any postnatal day (Fig. 4D, Table 4). As observed in striatal GINs, AP peak amplitude was also unaltered by prenatal ethanol exposure regardless of postnatal day in SPNs from male and female mice (Table 4, Extended Data Fig. 3-1B).

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Table 4.

Striatal GIN and SPN action potential (AP) characteristic statistics

Taken together, these data indicate differences in the effects of prenatal ethanol exposure on the development of SPNs in female and mice. While SPNs from both male and female mice displayed increased AP half-widths and firing rates during early postnatal development following prenatal ethanol exposure, increases in SPN AP firing rate occur later (P8–10) in male mice relative to female mice (P4–6; Fig. 4A,D). Consistent with what we observed in striatal GINs, SPNs from male mice also displayed more depolarized AP thresholds following prenatal ethanol exposure at P2 (Fig. 4C). Alternatively, by the end of the second postnatal week, SPNs from both displayed more hyperpolarized AP thresholds (Fig. 4C). This shift in AP threshold coincides with increased firing rates in response to lower current inputs in SPNs from female mice following prenatal ethanol exposure, while SPNs from male mice displayed decreased firing rates regardless of the degree of depolarizing current input (Fig. 4A).

Striatal GINs: intrinsic electrical properties

Given the significant differences in the firing properties of striatal GINs following prenatal ethanol exposure, we next asked if RMP, IR, membrane capacitance, and membrane time constant of developing striatal GINs and SPNs were also changed. Prenatal ethanol exposure significantly altered the RMP of striatal GINs, in sex- and postnatal day-dependent ways (three-way ANOVA, exposure: p = 0.055, sex: p = 0.027; exposure × sex × postnatal day: p = 0.035, exposure × sex: p = 0.019, exposure × postnatal day: p = 0.013, sex × postnatal day: p < 0.001; Table 5, Extended Data Fig. 3-1B). However, no significant differences between groups were observed on individual postnatal days (Extended Data Fig. 3-1B). IR, membrane time constant, and capacitance of striatal GINs were unaltered by prenatal ethanol exposure (Table 3; Extended Data Figs. 3-1C,D, 3-2A).

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Table 5.

Striatal GIN and SPN membrane properties statistics

These data indicate that increases in striatal GIN AP firing rates following prenatal ethanol exposure (Fig. 3A,C) depend on the postnatal age and occur in the absence of obvious differences in other intrinsic electrical properties of striatal GINs (Extended Data Fig. 4-1B).

Striatal SPNs: intrinsic electrical properties

Prenatal ethanol exposure resulted in significant differences in the RMP of developing SPNs in both male and female mice (three-way ANOVA, exposure: p = 0.001; Table 3, Extended Data Fig. 4-1B). At P4–6 prenatal ethanol exposure resulted in more depolarized RMP in SPNs in male mice relative to control-fed male and female mice but did not result in statistically significant differences in SPNs from female mice (Extended Data Fig. 4-1B). A similar trend was observed at P2, though differences were not significant (one-way ANOVA, p = 0.070). Significant differences in SPN RMP were not detected during the second postnatal week (Extended Data Fig. 4-1B). Prenatal ethanol exposure also resulted in more depolarized RMP in SPNs from female mice relative to those in SPNs from control-fed female mice at both P2 and P4–6, though these differences did not reach statistical significance (Extended Data Fig. 4-1B).

Unlike striatal GINs, the IR of SPNs was significantly affected by prenatal ethanol exposure, independent of sex or postnatal day (three-way ANOVA: main effects: exposure: p = 0.005; Table 3). Though significant differences were not observed on individual postnatal days, we observed a trend toward an increase in IR of SPN at P2 and P4–6 in SPNs from both male and female mice relative those fed a control diet (Extended Data Fig. 4-1C). Membrane time constant of SPNs also significantly differed following a prenatal ethanol exposure as well as between male and female mice depending upon the postnatal day (three-way ANOVA: exposure: p = 0.017, sex × postnatal day: p = 0.008; Table 5). On P8–10, SPNs recorded from control-fed males displayed a significantly increased membrane time constant relative to those from ethanol-exposed male mice (Extended Data Fig. 4-1D). The membrane capacitance of SPNs was unaffected by prenatal ethanol exposure and did not differ between sexes (Extended Data Fig. 3-2B, Table 5).

Consistent with observed increases in SPN AP half-width during early postnatal development (P2–6), the more depolarized RMP and increased IR of developing SPNs suggest that prenatal ethanol exposure results in a delayed functional maturation of SPNs in mice of both sexes, although these effects tended to be more pronounced in SPNs from male mice. These data also suggest that alterations to the intrinsic properties precede increases in SPN firing rate observed following prenatal ethanol exposure in SPNs from female mice (P4–6) and male mice (P8–10; Extended Data Fig. 4-1A).

Prenatal ethanol exposure alters the development of glutamatergic and GABAergic synaptic connections to striatal GINs and SPNs in a sex-dependent manner during the first two postnatal weeks

The intrinsic excitability and firing properties of striatal neurons is modified by synaptic input in both developing and adult animals (Wilson and Kawaguchi, 1996; Lieberman et al., 2018; Lahiri and Bevan, 2020). Thus, we asked how differences in the functional properties might relate to the development of glutamatergic and synaptic afferents of striatal GINs and SPNs. Striatal GINs and SPNs receive convergent glutamatergic input from the cortex, thalamus, and limbic regions including the hippocampus and amygdala and share local GABAergic inputs from GINs and SPNs, as well as distant inhibitory inputs from cortex and pallidum (Tepper et al., 2008; Wall et al., 2013; Melzer et al., 2017; Klug et al., 2018; Bertero et al., 2020). Glutamatergic and GABAergic synaptic currents have been observed in embryonic SPNs and gradually increase over the first two postnatal weeks coinciding with the onset of mature functional properties in SPNs (Tepper et al., 1998; Dehorter et al., 2011; Kozorovitskiy et al., 2012; Sohur et al., 2014; Peixoto et al., 2016; Krajeski et al., 2019). When striatal GINs first receive input from synaptic afferents is not yet known.

We performed whole-cell patch-clamp recordings using acute coronal sections from behaviorally tested neonates to record GABAergic and glutamatergic sPSCs from developing striatal GINs and SPNs. We asked if prenatal ethanol exposure altered the frequency and amplitude of glutamatergic sPSCs during the first two postnatal weeks.

Striatal GINs: glutamatergic sPSCs

Though we did not identify significant effects of prenatal ethanol exposure or sex on glutamatergic sPSC frequency in striatal GINs, there emerged a trend toward an exposure × sex × postnatal day interaction suggesting that the prenatal ethanol exposure alters the frequency of glutamatergic sPSCs in striatal GINs in a sex-dependent manner that varies across early postnatal development (three-way ANOVA, exposure × sex × postnatal day: p = 0.058; Table 6, Fig. 5C). We then compared glutamatergic sPSC frequency in striatal GINs from control female, ethanol-exposed female, control-fed male, and ethanol-exposed male mice by postnatal day (P2, P4–6, P8–10, and P14). At P2, prenatal ethanol exposure increased glutamatergic sPSC frequency in GINs from control-fed male mice relative to those from control-fed female mice, though no differences were observed between ethanol-exposed male and female mice (Fig. 5C). At P14, prenatal ethanol exposure decreased the frequency of glutamatergic PSCs in female mice relative to control female mice (Fig. 5C).

Figure 5.
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Figure 5.

Glutamatergic synaptic activity in the developing striatum is disrupted by prenatal ethanol exposure depending on sex and neuronal subtype: striatal GABAergic interneurons (GINs) and striatal projection neurons (SPNs). A, Example whole-cell voltage-clamp recordings of spontaneous glutamatergic postsynaptic current (sPSC) recordings from striatal GINs in control-fed female mice at P2 and P14. B, Prenatal ethanol exposure differentially effects the frequency of glutamatergic sPSCs recorded in striatal GIN from female and male mice depending upon their postnatal age. At P2, control-fed male mice demonstrate a higher glutamatergic sPSC frequency than control-fed female mice, while frequency does not differ in GINs from ethanol-exposed male versus female mice (1-way ANOVA, F(3,49) = 3.884, p = 0.014; Bonferroni’s post hoc tests: control M vs control F: p = 0.017). At P14, prenatal ethanol exposure results in a decreased frequency of glutamatergic sPSCs in female mice relative to control-fed female mice (1-way ANOVA, F(3,47) = 4.007, p = 0.025, Bonferroni’s post hoc tests: ethanol F vs control F: p = 0.037). Prenatal ethanol exposure does not affect glutamatergic sPSC frequency in striatal GINs from P4–6 or P8–10 mice (1-way ANOVAs, P4–6: F(3,47) = 0.530, p = 0.664; P8–10: F(3,47) = 0.092, p = 0.964). C, Prenatal ethanol exposure decreases glutamatergic sPSC amplitude in striatal GINs from P14 female mice relative to control-fed female mice but does not alter glutamatergic sPSC frequency in striatal GINs from female between P2 and P10 or from male mice (1-way ANOVAs, P2: F(3,49) = 2.283, p = 0.091; P4–6: F(3,47) = 0.666, p = 0.577; P8–10: F(3,45) = 1.266, p = 0.298; P14: F(3,47) = 0.666, p = 0.012, Bonferroni’s post hoc tests: ethanol F vs control: p = 0.012). D, Example glutamatergic sPSC recordings from SPNs in control-fed female mice at P2 and P14. E, Prenatal ethanol exposure results in an early postnatal (P2) decrease in glutamatergic sPSC frequency in SPNs from female mice, relative to control-fed male mice (1-way ANOVA, F(3,41) = 4.852, p = 0.006; Bonferroni’s post hoc tests: control M vs ethanol F: p = 0.005). At P14, prenatal ethanol exposure resulted in significantly decreased glutamatergic sPSC frequency in SPNs from male mice relative to control-fed female mice (1-way ANOVA, F(3,47) = 4.853, p = 0.005, Bonferroni’s post hoc tests: control F vs ethanol M: p = 0.005). Prenatal ethanol exposure did not affect glutamatergic sPSC frequency in SPNs from male and female mice at P4–6 or P8–10 (1-way ANOVAs, P4–6: F(3,56) = 0.537, p = 0.659; P8–10: F(3,52) = 0.094, p = 0.963). F, Prenatal ethanol exposure did not alter amplitude of glutamatergic sPSCs recorded from SPN during the first two postnatal weeks (one-way ANOVAs, P2: F(3,41) = 0.861, p = 0.469; P4–6: F(3,56) = 1.332, p = 0.273; P8–10: F(3,52) = 1.341, p = 0.271; P14: F(3,47) = 1.093, p = 0.362). Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least three animals per group. For all: +p < 0.05, control M versus control F; #p < 0.05, control F versus ethanol F; @@p < 0.01, control F versus ethanol M; $$p < 0.01, control M versus ethanol F.

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Table 6.

Striatal GIN and SPN spontaneous postsynaptic current (sPSC) statistics

Depending on the postnatal day assessed, prenatal ethanol exposure differentially altered the amplitude of glutamatergic sPSCs recorded from striatal GINs (three-way ANOVA, exposure × postnatal day: p = 0.010; Table 6, Fig. 5D). At P14, prenatal ethanol exposure resulted in decreased glutamatergic sPSC amplitude in striatal GINs from female mice relative to those from control-fed female mice (Fig. 5D).

SPNs: glutamatergic sPSCs

Prenatal ethanol exposure significantly changed the frequency of glutamatergic sPSCs recorded from SPNs, revealing a trend toward an exposure × sex × postnatal day interaction and suggesting that similar to GINs, prenatal ethanol exposure alters the frequency of glutamatergic sPSCs in SPNs in a sex-dependent manner that varies across early postnatal development (three-way ANOVA, exposure: p < 0.001, exposure × postnatal day: p = 0.052, sex × postnatal day: p = 0.017; Table 6). We determined that at P2 prenatal ethanol exposure resulted in a decrease in the frequency of glutamatergic sPSCs in female mice, relative to control-fed male mice, and observed a trend toward decreased frequency relative to control-fed female mice (p = 0.061; Fig. 5E). At P14, significant differences in ethanol-exposed male and control-fed female mice were evident (Fig. 5E). Prenatal ethanol exposure did not alter the amplitude of glutamatergic sPSCs recorded from SPNs, independent of sex and postnatal age (Table 6, Fig. 5F).

Overall, in striatal GINs of female mice, prenatal ethanol exposure results in an early postnatal (P2) increase in the frequency of glutamatergic sPSC suggesting an increase in glutamatergic synaptic inputs to striatal GINs coinciding with a decrease in glutamatergic inputs to SPNs. These differences resolved by the end of the first postnatal week. However, they are replaced by P14 with decreases in both sPSC frequency of striatal GINs suggesting that prenatal ethanol exposure results later in diminished glutamatergic neurotransmission via both pre- and postsynaptic mechanisms (Fig. 5B,C,E,F). In contrast, though prenatal ethanol exposure also resulted in an early postnatal decrease glutamatergic sPSC frequency in SPNs from male mice, this difference was not statistically significant and does not coincide with an increased glutamatergic sPSC frequency in striatal GINs in male mice (Fig. 5B,C,E,F). Following prenatal ethanol exposure, striatal GINs from male mice also failed to display decreases in glutamatergic sPSC frequency and amplitude observed in GINs from female mice at P14 but unlike female mice, develop a more pronounced decrease in SPN glutamatergic sPSC frequency by P14.

Striatal GINs: GABAergic sPSCs

We next asked if the differences we found in glutamatergic sPSC frequency and amplitude might coincide with changes in GABAergic sPSCs following prenatal ethanol exposure. Although we identified a significant effect of biological sex on the frequency of GABAergic sPSCs in striatal GINs, we did not identify a significant effect of prenatal ethanol exposure (three-way ANOVA, sex: p = 0.010; Table 6, Fig. 6C). Despite the lack of an overall effect of prenatal ethanol exposure on GABAergic sPSC frequency in striatal GINs, we did uncover group-dependent differences in GABAergic sPSC frequency at P14, striatal GINs from control-fed female mice had a significantly increased GABAergic sPSC frequency relative to control-fed and ethanol-exposed male mice, while striatal GINs from ethanol-exposed female mice did not display a similar increase in frequency (Fig. 6C).

Figure 6.
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Figure 6.

GABAergic synaptic activity in the developing striatum is disrupted by prenatal ethanol exposure depending on sex and neuronal subtype: striatal GABAergic interneurons (GINs) and striatal projection neurons (SPNs). A, Example whole-cell voltage-clamp recordings of spontaneous GABAergic postsynaptic current (sPSC) recordings from striatal GINs in control-fed female mice at P2 and P14. B, Prenatal ethanol exposure increases the frequency of GABAergic sPSC recorded from striatal GINs in female mice relative to control-fed F mice at P4–6 but does not alter GABAergic sPSC frequency in F mice at P2, P8–10, or P14 and does not affect GABAergic sPSC frequency in male mice (1-way ANOVAs, P2: F(3,48) = 2.919, p 0.043; P4–6: F(3,52) = 3.307, p = 0.028; Bonferroni’s post hoc tests: control F vs ethanol F: p = 0.023; P8–10: F(3,41) = 0.699, p 0.558; P14: F(3,47) = 2.005, p 0.127). C, Striatal GINs from control-fed F mice had significantly increased GABAergic sPSC amplitude relative to those from control-fed M and ethanol-exposed M P14 mice (1-way ANOVA, F(3,47) = 3.150, p = 0.034, Bonferroni’s post hoc tests: control M vs control F: p = 0.028, control F vs ethanol M: p = 0.028). Prenatal ethanol exposure did not alter GABAergic sPSC amplitude between P2 and P10 (one-way ANOVAs, P2: F(3,40) = 1.461, p = 0.240; P4–6: F(3,52) = 2.253, p = 0.094; P8–10: F(3,41) = 0.160, p = 0.923, P14: F(3,44) = 3.150, p = 0.034, Bonferroni’s post hoc tests: ethanol M versus control F: p = 0.028. D, Example whole-cell voltage-clamp recordings of spontaneous GABAergic sPSC recordings from SPNs in control-fed female mice at P2 and P14. E, Prenatal ethanol exposure significantly decreased the frequency of GABAergic sPSC in SPNs from M mice at P2, relative to control-fed M and F mice, and ethanol-exposed F mice (1-way ANOVA, F(3,42) = 6.383, p = 0.001; Bonferroni’s post hoc test: control M vs ethanol M: p = 0.008, control M vs control F: p = 0.004, control M vs ethanol F: p = 0.004). Prenatal ethanol exposure did not alter GABAergic sIPSC frequency in SPNs P4–14 (1-way ANOVAs, P4–6: F(3,57) = 0.921, p = 0.437; P8–10: F(3,54) = 0.921, p = 0.437; P14: F(3,46) = 1.344, p = 0.272). F, At P8–10, prenatal ethanol exposure increases the amplitude of GABAergic SPCs in SPNs from M mice relative to control-fed M (1-way ANOVA, F(3,54) = 3.623, p = 0.019, Bonferroni’s post hoc: control M vs ethanol M: p = 0.027, control F vs ethanol M: p = 0.052). Prenatal ethanol exposure does not affect GABAergic sPSC amplitude at P2, P4–6, or P14 (1-way ANOVAs, P2: F(3,38) = 0.587, p = 0.627; P4–6: F(3,57) = 1.920, p = 0.137, P14: F(3,46) = 1.865, p = 0.149). Data are presented as means (bars), error bars are standard error of the mean (SEM), and dots are individual neurons from at least three animals per group. For all: *p < 0.05, **p < 0.01, control male versus ethanol male, +p < 0.05, control M versus control F; #p < 0.05, control F versus ethanol F; @p < 0.05, control F versus ethanol M; $$p < 0.01 control M versus ethanol F.

Alternatively, the amplitude of GABAergic sPSCs monitored in striatal GINs was significantly altered by prenatal ethanol exposure, depending on the postnatal day assessed and irrespective of sex (three-way ANOVA, exposure × postnatal day: p = 0.0050; Fig. 6D, Table 6). At P14, striatal GINs from control-fed female mice displayed decreased GABAergic sPSC amplitude relative to ethanol-exposed male mice, while a comparable decrease in GABAergic sPSC amplitude was not observed in ethanol-fed female mice (Fig. 6D).

SPNs: GABAergic sPSCs

Prenatal ethanol exposure significantly altered the frequency of GABAergic sPSCs in SPNs from both male and female mice across the first two postnatal weeks (three-way ANOVA, exposure: p = 0.002; Table 6, Fig. 6E). At P2, SPNs from control-fed male mice displayed a significantly higher GABAergic sPSC frequency relative to all other groups, while SPNs in male mice exposed prenatally to ethanol did not display a similar increase in GABAergic sPSC frequency (Fig. 6E). Although no significant differences in SPN GABAergic sPSC frequency were observed in female or male mice from P4 to P14, SPNs from both male and female mice tended to display decreased GABAergic SPN frequency following prenatal ethanol exposure in both male and female mice during this time period (Fig. 6E).

Depending on the postnatal age, the amplitude of GABAergic sPSCs monitored in SPNs was also significantly altered by prenatal ethanol exposure (three-way ANOVA, exposure × postnatal day: p = 0.039; Fig. 6F, Table 6). At P8–10, prenatal ethanol exposure resulted in a decrease in SPN GABAergic sPSC amplitude in male mice, relative to control-fed male mice (Fig. 6F). No differences were observed in GABAergic sPSC amplitude in female mice at P8–10 (Fig. 6F).

In summary, prenatal ethanol exposure differentially affected GABAergic synaptic activity in striatal neurons of female and male mice during the first two postnatal weeks, including both pre- and postsynaptic GABAergic neurotransmission in striatal GINs and SPNs, with more pronounced differences observed in striatal neurons from male mice.

Prenatal ethanol exposure results in transient alterations in SPN morphology in both female and male mice

Concurrent with rapid changes in functional properties, and synaptic inputs during the first two postnatal weeks, SPNs undergo considerable morphological maturation (Tepper et al., 1998; Dehorter et al., 2011; Peixoto et al., 2016; Krajeski et al., 2019). The dendritic complexity of SPNs has been closely associated with their excitability both during development and in adulthood, with less excitable SPN neurons observed to bear longer and more complex dendritic arbors (Gertler et al., 2008; Cazorla et al., 2014; Lieberman et al., 2018; Krajeski et al., 2019). Thus, we asked whether altered SPN morphology might accompany differences in the functional maturation and synaptic connectivity of SPNs. Spiny projection neurons were filled with a neurobiotin tracer during whole-cell patch-clamp electrophysiology experiments and then traced and SPN dendrites reconstructed for Sholl analysis (Fig. 7).

Figure 7.
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Figure 7.

Prenatal ethanol exposure result in early postnatal increases in spiny projection neuron (SPN) dendritic morphology. A, Representative reconstructions (right) and images (left) of neurobiotin-filled SPNs from female (F) control, male (M) control (top), F ethanol-exposed, and M ethanol-exposed (bottom) postnatal day (P) 2 neonates. B, Representative reconstructions (right) and images (left) of neurobiotin-filled SPNs from F control, M control (top), F ethanol-exposed, and M ethanol-exposed (bottom) P8 neonates. C, Sholl analysis indicates that prenatal ethanol exposure increases the dendritic complexity (number of intersections/increasing 10 µm radius) in a radius-dependent manner of SPNs from P2 F and M + mice relative to control-fed F mice, P4–6 M mice relative control-fed F mice, and decreased in P8–10 F mice relative to ethanol-exposed M and control-fed M, while differences have resolved by P14 (two-way repeated measures ANOVA, P2: group: F(3,1320) = 1.559, p = 0.2097, radius: F(24,1320) = 188.9, p < 0.001, group × radius: F(72,1320) = 1.241, p = 0.0878, Bonferroni’s post hoc tests: ethanol F vs control F: radius = 50 µm, t = 3.348, p < 0.05, radius = 60 µm, t = 3.866, p < 0.01); ethanol M vs control F: radius = 40 µm, t = 3.837, p < 0.01, radius = 50 µm, t = 3.189, p < 0.05, radius = 60 µm, t = 3.241, p < 0.05; P4–6: group: F(3,1596) = 1.701, p = 0.1770, radius: F(28,1596) = 228.5, p < 0.001, group × radius: F(84,1596) = 1.093, p = 0.2684, Bonferroni’s post hoc tests: ethanol M vs control F: radius = 20 µm, t = 4.540, p < 0.0001, 40 µm, t = 3.692, p < 0.01, 50 µm, t = 3.412, p < 0.05. P8–10: group: F(3,1782) = 0.6876, p = 0.5635, radius: F(33,1782) = 475.5, p < 0.0001, group × radius: F(99,1782) = 0.8764, Bonferroni’s post hoc tests: ethanol F vs ethanol M: radius = 80 µm, t = 4.061, ethanol F vs control M: radius = 60 µM, t = 3.694, p < 0.01, 70 µm, t = 3.207, p < 0.05. P14: group: F(3,2112) = 0.4037, p = 0.7508, radius F(33,2112) = 437.2, p < 0.0001, group × radius: F(99,2112) = 0.6128, p = 0.9990). For all images, scale bar, 20 µm. Data are presented as means (bars), error bars are standard error of the mean (SEM), and dots are individual neurons from at least three animals per group. For all: +p < 0.05, ++p < 0.01, control M versus control F; #p < 0.05, ##p < 0.01, control M versus ethanol M, @p < 0.05; @@@p < 0.001, control F versus ethanol M, $$p < 0.01 control M versus ethanol F; xp < 0.05, xxp < 0.01, ethanol F versus ethanol M. Extended Data Figure 7-1.

Figure 7-1

Prenatal ethanol exposure result in early postnatal increases in spiny projection neuron (SPN) dendritic morphology: length, number, branching, and soma area. (A) Prenatal ethanol exposure decreased the mean length/dendrite (µM) in SPN F mice relative to control-fed F while control-male mice also displayed significantly decreased mean length/dendrite relative to control fed F at P2, while prenatal ethanol exposure resulted in no significant differences at P4-6. At P8-10 prenatal ethanol exposure increased the mean length/dendrite in SPNs from M mice relative to ethanol-exposed and control-fed F mice, control-fed male mice also displayed significantly increased mean length/dendrite relative to control-fed F mice. At P14, SPNs from ethanol-exposed M mice relative displayed a decreased mean length/dendrite relative to ethanol-exposed and control-fed F mice. (P2: (Kruskall-Wallis test, H(3) = 13.49, p=0.0039, Dunn’s post-hoc tests: ethanol F vs. control F: p<0.05, ethanol F vs. control M, p>0.05; P4-6: Kruskal-Wallis test, H(3) = 6.905, p=0.0750; P8-10: one-way ANOVA, F(3,59) = 6.276, p = 0.001, Bonferroni post-hoc tests: ethanol M vs. ethanol F, t= 3.427, p<0.01, ethanol M vs. control F, t=3.710, p<0.01; P14: one-way ANOVA, F(3,64) = 3.962, p = 0.0118, Bonferroni post-hoc tests: ethanol M vs. ethanol F, t= 3.308, p<0.01). (B) Prenatal ethanol exposure results in a transient increase in the number of dendrites in SPNs from P2 and P4-6 F mice relative to those from control-fed F and ethanol-exposed M mice of the same ages, that resolves by P8-10 (Kruskal-Wallis tests, P2: H(3)= 12.832, p=0.005, Dunn’s post-hoc tests: ethanol F vs. control F: p< 0.05, ethanol F vs. ethanol M, p<0.05; P4-6: H(3) = 14.116, p=0.003, Dunn’s post-hoc tests: ethanol F vs. control F: p<0.01, ethanol F vs. ethanol M, p<0.01; P8-10: H(3)= 0.897, p=0.826; P14: H(3)= 0.747, p=0.862). (C) Prenatal ethanol exposure resulted in trend towards a decreased mean number of nodes/dendrite in SPNs from P4-6 F mice relative to control-fed F mice, and ethanol-exposed M mice. Control-fed F mice had increased mean nodes/dendrite relative to control-fed M mice at P2. No differences in mean nodes/dendrite mean nodes per dendrite were observed in SPNs at P8-10, or P14 (P2: one-way ANOVA, F(3,58)=4.596, p= 0.061, Bonferroni post-hoc tests, control F vs. control M, p<0.05; P4-6: Kruskal-Wallis test, H(3) = 8.619. p=0.0348; P8-10: one-way ANOVA: F(3,59) = 1.340, P14: F(3,67) = 0.6633). (D) Prenatal ethanol exposure increased the soma area (µM2) if SPNs from F mice, relative to those from control-fed F mice at P4. SPNs from control-fed F mice also had decreased soma area relative to those from control-fed male mice at P4. No differences in soma area were observed at P2, P8-10 or P14. P2: one way ANOVA, F(3,58) = 0.4028, p = 0.7515; P4: one-way ANOVA, F(3,60) = 5.002, p<0.0038, Bonferroni post-hoc tests: ethanol F vs. control F, t=3.121, p<0.05, control F vs. control M, t = 3.591, p<0.01; P8-10: one-way ANOVA, F(3,59) = 0.7238, p= 0.5420; P14: Kruskall-Wallis test, H(3) = 6.232. Data are presented as means (bars), error bars are standard error of the mean (SEM), dots are individual neurons from at least 3 animals per group. For all: +p<0.05, ++p<0.01, control M vs. control F; #p<0.05, ##p<0.01, control M vs. ethanol M, @p<0.05; @@@p<0.001, control F vs. ethanol M, $$ p<0.01 control M vs. ethanol F; xp<0.05, xxp<0.01, ethanol F vs. ethanol M. Download Figure 7-1, TIF file.

At P2, SPNs from female mice exposed prenatally to ethanol had more complex dendrites as measured by Sholl analysis compared with control-fed female mice, while increases in the dendritic complexity of SPNs were less pronounced in ethanol-exposed male mice relative to SPNs from control-fed male mice (Fig. 7C). The increases in dendritic complexity in female mice diminished over time, with significant differences evident only at P4–6 between SPNs from ethanol-exposed female mice and those of control and ethanol-exposed male mice (Fig. 7C). Alternatively, at both P2 and P8–10, SPNs from ethanol-exposed male mice displayed increased complexity relative to those in control-fed female mice but not control-fed male mice while that of SPNs from control-fed male and female mice did not differ (Fig. 7C).

Differences in the dendritic complexity may result from changes in the number of dendrites, dendritic length, or dendritic branchpoints (number of nodes) and may coincide with changes in the growth of other neuronal compartments, including the soma. We found that prenatal ethanol exposure differentially altered the number of dendrites in SPNs of female and male mice depending on the postnatal day (ordinal logistic regression exposure: p = 0.003, exposure × sex × postnatal day: p = 0.015; Extended Data Fig. 7-1B, Table 7). An increase in dendritic number was observed in SPNs from ethanol-exposed female mice relative to SPNs from control-fed female and ethanol-exposed male mice at P2 and persisted to P4–6.

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Table 7.

SPN dendritic morphology and soma area statistics

Prenatal ethanol exposure also differentially modified mean length/dendrite (µm; three-way ANOVA, exposure × sex × postnatal day: p = 0.001; Extended Data Fig. 7-1A, Table 7). SPNs from ethanol-exposed female mice displayed a decreased mean length/dendrite relative to SPNs from control-fed male and female mice at both P2 and P4–6. These differences in dendritic length/dendrite resolved completely by P14 (Extended Data Fig. 7-1A). An increase in the mean length of dendrites in SPNs from male mice exposed prenatally to ethanol relative to ethanol-exposed female mice was observed at P8–10, while decreased mean dendritic length persisted to P14 in SPNs in ethanol-exposed male mice (Extended Data Fig. 7-1A).

The effects of prenatal ethanol exposure on the mean of nodes per dendrite and soma area (µm2) were also sex-dependent (two-way ANOVAs, mean nodes per dendrite: exposure × sex: p = 0.008; soma area: exposure × sex: p = 0.002; Extended Data Fig. 7-1C,D, Table 7). We were unable to resolve differences in the mean number of dendritic branchpoints (nodes) per dendrite following prenatal ethanol exposure in male or female mice at specific postnatal time points (Extended Data Fig. 7-1C). Prenatal ethanol exposure resulted in increased the soma area (µm2) if SPNs from female mice, relative to those from control-fed F mice at P4, while ethanol exposure did not alter soma area in SPNs from male mice. No differences in soma area were observed at P2, P8–10, or P14 (Extended Data Fig. 7-1D, Table 7).

Overall, SPNs from both female and male mice demonstrate increases in dendritic complexity during the first two postnatal weeks with prenatal ethanol exposure. The increase in complexity is delayed in SPNs from male mice and result from changes to different aspects of dendritic growth with SPNs from male mice increasing dendritic length, while SPNs from female mice were observed to have an increased number of dendrites.

Discussion

The clinical effects of prenatal ethanol exposure first become apparent during early childhood and persist into adolescence and adulthood. However, preclinical investigations of changes at the circuit level in animal models of prenatal ethanol exposure have frequently focused on a single developmental time point or population of neurons. Here, we explored the differential effects of prenatal ethanol exposure on two principal populations of striatal neurons: namely, GINs and SPNs, during the first two postnatal weeks, a period of dramatic changes in the functional properties of and synaptic inputs to striatal neurons as well as development of early motor behaviors. The major findings of the present study are as follows: (1) a brief binge-type prenatal exposure to ethanol affects the development of early motor behaviors, concurrent with the maturation of striatal GINs and SPNs in a sex-dependent manner, (2) striatal GINs and SPNs in male and female mice are differentially susceptible to prenatal ethanol exposure, and (3) the effects of prenatal ethanol exposure on both motor behaviors and neuronal maturation are dynamic and dependent upon timing during early development.

Binge-type prenatal ethanol exposure results in sex-dependent differences in the development of early motor behaviors and the function of striatal neurons

Our results indicate that male neonates exposed prenatally to ethanol demonstrate developmental motor delays, evident in several motor tasks throughout the first two postnatal weeks independent of differences in gross physical development (Fig. 1B,D–G). Alternatively, changes in the motor development of female mice following prenatal ethanol exposure were less pronounced; subtle behavioral differences were reported in the onset of quadruped walking behavior and surface righting time (Fig. 1D,F). We also observed a period (P4–6) when female appeared to develop more rapidly than control-fed females in surface righting behavior (Fig. 1F).

Male vulnerability to deficits related to gestational and perinatal exposures, as well as neurodevelopmental disorders, is well documented (DiPietro and Voegtline, 2017; Bölte et al., 2023). While a number of cohort studies have identified higher rates of FASD in male children, they have not been recapitulated in recent epidemiological studies seeking to estimate the global prevalence of FASD (May et al., 1983, 2014; Astley, 2010; Thanh et al., 2014; Fox et al., 2015). However, the clinical presentation of FASD has been observed to differ between sexes, with individuals identifying as male demonstrating more dramatic differences in early development and measures of neurodevelopmental impairment, including the onset of early motor behaviors, while those identifying as female experienced higher rates of codiagnosed endocrine, mood, and anxiety disorders (May et al., 2017; Flannigan et al., 2023). Increased susceptibility of male offspring to the functional and behavioral effects of prenatal ethanol exposure has been observed in rodent models assessing adolescent and adult animals, including sex-dependent differences in both motor behaviors and the function of striatal neurons (Blanchard et al., 1993; Mooney and Varlinskaya, 2011; Rice et al., 2012; Rodriguez et al., 2016; Schambra et al., 2016; Rouzer and Diaz, 2022).

The sex differences we observed in the effects of prenatal ethanol exposure on early motor behavior coincided with sex-dependent effects of prenatal ethanol exposure on the function and structure of striatal neurons at each developmental time point we investigated (Fig. 8). These data suggest a potential interplay between the sex-dependent morphological development of SPNs with prenatal ethanol exposure, excitability of and strength of GABAergic inputs to SPNs, consistent with previous data indicating that altered GABAergic input is related to both SPN firing and morphology in adult animals (Cuzon Carlson et al., 2020). However, the effects of prenatal ethanol exposure on motor development of female and male mice could also be due to altered function of other local and distant afferent inputs to the striatum, including those from cholinergic and dopaminergic neurons or altered development of other CNS structures that contribute to early motor behavioral development, which have been shown to demonstrate sexually dimorphic features (Miller, 1983; Blanchard et al., 1993; Boggan et al., 1996; Supekar and Menon, 2015; Giacometti and Barker, 2020; Zachry et al., 2021). The sex-dependent phenotypes we observe may also be related to sex differences in acute ethanol exposure on placental function, male gestational hormone levels, and postnatal gene expression related to epigenetic modification of sex chromosomes or arise from exacerbation of sex-dependent differences in development of striatal neurons or CNS immune cell function (McGivern et al., 1988; Bosco and Diaz, 2012; Schwarz et al., 2012; Lenz et al., 2013; Kleiber et al., 2014; Dorris et al., 2015; Cao et al., 2016; Chater-Diehl et al., 2017; Loke et al., 2018; Sutherland and Brunwasser, 2018; Kwan et al., 2020; Salem et al., 2021).

Figure 8.
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Figure 8.

Prenatal ethanol exposure results in sex-dependent differences in early motor deficits coinciding with altered functional, synaptic, and morphological development of striatal neurons that vary with postnatal age. At P2, prenatal ethanol exposure results in a male-specific increase in surface righting time coinciding with significant sex differences in the effects of prenatal ethanol exposure on synaptic inputs to and functional properties of striatal GINs. In male mice exposed prenatally to ethanol, GIN demonstrate less increased AP half-width suggestive of a maturational delay, while SPNs receive fewer or weaker GABAergic synaptic inputs. In female mice, GINs show no differences in membrane properties but fire action potentials (APs) at a higher rate, while SPNs demonstrate no differences in GABAergic synaptic inputs and develop an increased dendritic complexity. However, SPNs from both male and female mice tended to have decreased glutamatergic synaptic innervation and had less mature/more excitable functional properties. At P4–6, prenatal ethanol exposure results in increased surface righting time only in female mice, while only male mice exposed prenatally to ethanol demonstrate increased negative geotaxis time and increased total motor score (TMS) at P8. Unlike female mice, male mice show fewer morphological differences early on (P2) but develop a longer lasting increase in dendritic complexity (P4–10), associated with longer, more highly branched dendrites. Differences in dendritic complexity coincided with changes in SPN AP firing rate that differ between female and male mice. Though both female and male mice demonstrate transient increases in SPN AP firing rate between P4 and P10, the increase observed at P4–6 in SPNs from female mice exposed prenatally to ethanol precedes a similar elevation in firing rate at P8–10 in SPNs from male mice with the same prenatal ethanol exposure (Fig. 4A). These changes in SPN firing properties occur simultaneously with increases in GABAergic activity: while at P4–6 the firing rate of striatal GINs from ethanol-exposed female mice does not differ from that of control-fed females, striatal GINs do display a higher GABAergic sPSC frequency (Figs. 4A, 6B). Alternatively, at P8–10, an increase in the amplitude of GABAergic sPSC frequency is increased in SPNs recorded from male mice exposed prenatally to ethanol (Fig. 6C). Data highlighted in blue represents a phenotype present in striatal GIN, while those highlighted in green represent a phenotype present in SPN. ↑ indicates a significant increase, ↓ indicates a significant decrease, - indicates no significant differences, * represents trend versus significant result.

Alternatively, it remains possible that, given the subtlety of behavioral differences we observe, the sex differences in the development of early motor behaviors may result from natural variation observed both in the behavioral development of mice and the achievement of developmental milestones observed in infants and toddlers (Fox, 1965; Darrah et al., 1998; Valentini et al., 2019; Tupsila et al., 2022). This may be particularly relevant to behavioral analysis of female mice given our sample sizes were smaller for comparisons of female versus male mice (Table 2). The behavioral likely also reflect the effects of prenatal ethanol exposure on the development of other brain regions, particularly those within the cortico-basal ganglia-thalamic loop either resulting from or unrelated to the altered development of striatal neurons we demonstrated (Granato et al., 1995; Kozorovitskiy et al., 2012; El Shawa et al., 2013; Skorput et al., 2015; Miller, 2017; Louth et al., 2018; Delatour et al., 2019b). Alternatively, compensatory functional changes in other brain regions could explain times altered striatal neuronal function and morphology are present though the motor behaviors we assessed do not appear to be affected by prenatal ethanol exposure. Finally, we acknowledge that, as technical limitations required us to complete analysis of functional, synaptic development, morphological development at collapsed time points (P4–6, P8–10) rather than individual postnatal days, it is possible that significant differences in identified at these time points that were also masked or enhanced by the variation related to postnatal age, challenging comparisons with differences in motor development. Further investigation will be necessary to either rule out or incorporate alternative sources of sex differences in early motor behavior following prenatal ethanol exposure.

Differential susceptibility of striatal GINs and SPNs to the effects of prenatal ethanol exposure during early postnatal development

We found that prenatal ethanol exposure differentially affected the functional and synaptic properties of striatal GINs and SPNs, adding to previous evidence that these two populations of neurons are differentially affected by exposures to ethanol in adult animals (Blomeley et al., 2011; Patton et al., 2016; Figs. 3–6). Overall, we observed events that facilitate the GABAergic signaling in the striatum, notably, increased excitatory inputs to striatal GINs, increased AP firing rate of striatal GINs, increased number or strength of GABAergic inputs to striatal GINs and SPNs, or differences in number of GABA receptors that facilitate larger amplitude GABAergic synaptic events, are more apparent in female mice exposed prenatally to ethanol, which also demonstrate fewer behavioral differences (Figs. 1C–G, 3A–D, 6B,C). Increases in GABAergic signaling are also apparent during periods of behavioral recovery in male mice, while evidence of diminished disrupted maturation of GABAergic signaling coincide with periods when prenatal ethanol exposure results in marked developmental motor delays in male mice (Figs. 1C–G, 3A–D, 6B,C).

Differences in the number, subtype, and function of GINs are frequently observed in developing circuits following early genetic or environmental insults and contribute to behavioral differences in neurodevelopmental disorders (Penzes et al., 2013; Ruden et al., 2021; Yang et al., 2021). It has previously been demonstrated that a brief binge exposure alters the migration of GINs to the developing cortex and contributes to an excitatory/inhibitory imbalance in the mPFC of young adult mice coinciding with hyperactivity and reversal learning deficits (Skorput et al., 2015). GABA facilitates early neuronal network development in a variety of ways: controlling gene expression, proliferation, growth, migration, synapse formation, and the coordinating firing of developing neurons (LoTurco et al., 1995; Wang and Kriegstein, 2008; Bortone and Polleux, 2009; Sernagor et al., 2010; Baho and Cristo, 2012). Further investigation is necessary to determine how prenatal ethanol exposure may contribute to differences in GABAergic signaling in the developing striatum.

Potential mechanisms contributing to observed differences in the effects of prenatal ethanol exposure on striatal GINs and SPNs include direct effects of ethanol on striatal neurons, indirect effects on the synaptic inputs to striatal neurons, or both. Recent investigation of the acute effects of ethanol on cortical cells in utero suggests that ethanol's effects on gene expression in embryonic neurons may be both subtype specific and sexually dimorphic (Salem et al., 2021; Sambo et al., 2022). Prenatal ethanol exposure could differentially modify the function or expression of ion channels in striatal GINs and SPNs, contributing to observed differences in membrane and firing properties (Figs. 3, 4; Extended Data Figs. 3-1, 4-1). Differences in the expression and subtype of potassium channels contributes to the maturation of firing properties in striatal GINs and SPNs and confer differential susceptibility to the effects of ethanol exposure in adult rodents (Lenz et al., 1994; Prüss et al., 2003; Plotkin et al., 2005; Brodie et al., 2007; Aryal et al., 2009; Dehorter et al., 2011; Tavian et al., 2011; Bates, 2013; Cazorla et al., 2014; Lieberman et al., 2018). Sodium and calcium channels can both contribute to the excitability of striatal neurons, are modified by ethanol exposure, and may differ between striatal neuronal subtypes during early development (Hunt and Mullin, 1985; Walter and Messing, 1999; Lee et al., 2022).

Prenatal ethanol exposure may also result in cell subtype-specific differences in afferents to striatal neurons contributing to differences in firing properties. Past work suggests that firing properties and synaptic inputs are highly related in striatal neurons; genetic manipulation of postsynaptic SPNs and their excitability can alter the strength of their glutamatergic inputs, while diminishing glutamatergic inputs to SPNs can modify their excitability (Kozorovitskiy et al., 2012; Mowery et al., 2017; Benthall et al., 2021). Striatal GINs and SPNs differ in their local and distant afferent connectivity and demonstrate different forms of short-term plasticity in response to excitatory stimulations depending source of afferents (Smith et al., 2004; Gittis et al., 2010; Lim et al., 2014; Clarke and Adermark, 2015; Arias-García et al., 2018; Johansson and Silberberg, 2020; Kocaturk et al., 2022). Prenatal ethanol exposure has been shown to alter the function of pyramidal neurons in the thalamus, as well as in motor, somatosensory, and prefrontal cortex (Granato et al., 1995; Mooney and Miller, 2010; Skorput et al., 2015; Delatour et al., 2019a,b; Mohammad et al., 2020). The function of postsynaptic glutamatergic AMPA and NMDA receptors is also differentially inhibited by ethanol exposure, and the relative density of these receptors also differs between striatal GINs and SPNs (Lovinger et al., 1989; Lovinger, 1993; Allgaier, 2002; Gittis et al., 2010; Möykkynen and Korpi, 2012; Vizcarra-Chacón et al., 2013). Striatal GIN and SPNs also vary in their GABAergic inputs, demonstrating differences in the strength and source of GABAergic inputs, their postsynaptic GABA receptor subunit expression, and the net effect of GABA to depolarize or hyperpolarize postsynaptic neurons (Misgeld et al., 1982; Dehorter et al., 2011; Straub et al., 2016; Boccalaro et al., 2019; Tapia et al., 2019).

Dynamic change in the effects of prenatal ethanol exposure on early striatal development

Reports from longitudinal clinical imaging studies suggest that prenatal ethanol exposure can result in differential alterations the volume and functional connectivity of cortical structures and white matter, across development (Lebel et al., 2012; Treit et al., 2014; Hendrickson et al., 2018; Long et al., 2018; Kar et al., 2022; Moore and Xia, 2022). Our findings further indicate that developmental shifts in the effects of prenatal ethanol exposure during early development occur at the level of differences in the functional and morphological phenotypes of individual neurons (Figs. 3–7). We determined that while deficits in glutamatergic and GABAergic synapses were apparent at both P2 and P14, there was a transient resolution of early GABAergic and glutamatergic synaptic deficits from P4 to P10 that may occur via several possible mechanisms (Figs. 5, 6). Glutamatergic synaptic activity detectable in the embryonic striatum is likely driven by thalamic inputs which form E10–16.5, rather than those from the developing cortex which form later during embryonic and early postnatal development (Angevine, 1970; Molnár et al., 1998; Nakamura et al., 2005; Dehorter et al., 2011; Sohur et al., 2014). Thalamo- and corticostriate afferents also differ in the timing of their developmental shift in the contributions of postsynaptic AMPA and NMDA receptors to glutamatergic currents (Krajeski et al., 2019). Early postnatal glutamatergic currents result from spontaneous rather than AP-mediated vesicle release mechanisms and are largely NMDA receptor mediated, while AP and AMPA receptor-mediated events increase during the first three postnatal weeks (Mozhayeva et al., 2002; Dehorter et al., 2011; Krajeski et al., 2019). Considering these differences in the context of the timing of our in utero ethanol exposure, it is possible that the early changes we observed in glutamatergic synaptic inputs to SPN are due to alterations in the development of thalamic inputs, while the transient recovery we observed from P4 to P10 occurs due to formation of novel corticostriate connections, a developmental increase in thalamostriate activity or from compensatory increases in AP-mediated currents.

The nature of GABAergic signaling also changes in early development and may contribute to the temporal variation in the effects of prenatal ethanol exposure on developing striatal GINs and SPNs. In the cortex and hippocampus, early GABAergic action on postsynaptic GABAA receptors results in a net depolarization of the postsynaptic neuron (Ben-Ari et al., 2012). This depolarizing action of GABA persists until the end of the first postnatal week, after which there is a developmental shift from depolarizing to hyperpolarizing action of GABA, which occurs due to differences in the concentration of intracellular chloride, mediated by changing expression levels of two chloride cotransporters: NKCC1 and KCC2 (Ben-Ari et al., 2012; Leonzino et al., 2016; Kalemaki et al., 2022). Alternatively, GABAA receptor-mediated activity continues to result in depolarizing postsynaptic currents in SPN into adulthood due to a lack of KCC2 expression and may result in a net excitation or inhibition depending on SPN membrane potential (Misgeld et al., 1982; Bartos et al., 2007; Dehorter et al., 2009, 2011; Tapia et al., 2019). However, when during development the “GABA switch” occurs in striatal GINs and if SPNs demonstrate from excitatory to inhibitory action of depolarizing GABA are not yet known. Determining if and when these developmental changes in GABAergic signaling occur, and how they may be altered following prenatal ethanol exposure, will enhance our understanding of the differential effects of prenatal ethanol exposure on developing striatal neurons.

Additionally, though differences in performance on our series of motor tasks are nearly imperceptible between ethanol-exposed and control-fed mice by P14, we observed persistent differences in synaptic inputs to and firing properties of striatal neurons that differed between male and female mice (Figs. 1, 4A,C, 7, 8C). Specifically, while prenatal ethanol exposure resulted in more hyperpolarized AP thresholds and increased firing rates in striatal GINs from both female and male mice, GINs from female mice also demonstrated smaller amplitude GABAergic sPSCs, and SPNs from female mice demonstrated a decrease in the frequency and amplitude of glutamatergic sPSCs coinciding with current-dependent differences in firing rate (Figs. 4A,C,E,G, 7E,F, 8C). Alternatively, differences in firing rate following prenatal ethanol exposure were less pronounced in GINs from male mice and coincided with decreases in the frequency and amplitude of glutamatergic sPSCs as well as decreased AP firing rates and glutamatergic sPSC frequency in SPN (Figs. 4E,G, 7E). These data raise the question of how the effects of prenatal ethanol exposure on the function of striatal neurons may continue to evolve into adolescence and adulthood and ultimately contribute to differences in motor behavior in adolescents and adults diagnosed with FASD (Connor et al., 2006).

In conclusion, improving our understanding of the effects of prenatal ethanol exposure in the context of major events in neural development will be critical to interpreting the potential contribution of changes at circuit-level behavioral differences in individuals with FASD. Considering the changing impact of prenatal ethanol exposure across the developmental trajectory in the future may inform care management decisions for individuals with FASDs, beginning with early childhood diagnosis and intervention, extending into adulthood and across the lifespan.

Footnotes

  • The authors declare no competing financial interests.

  • This work was supported by National Institutes of Health grants R01AG072900 and R01AA027754 to H.H.Y. and F30AA029261 to A.R.T.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

References

  1. ↵
    1. Allgaier C
    (2002) Ethanol sensitivity of NMDA receptors. Neurochem Int 41:377–382. https://doi.org/10.1016/S0197-0186(02)00046-3
    OpenUrlCrossRefPubMed
  2. ↵
    1. Altman J,
    2. Sudarshan K
    (1975) Postnatal development of locomotion in the laboratory rat. Anim Behav 23:896–920. https://doi.org/10.1016/0003-3472(75)90114-1
    OpenUrlCrossRefPubMed
  3. ↵
    1. Angevine JB
    (1970) Time of neuron origin in the diencephalon of the mouse. An autoradiographic study. J Comp Neurol 139:129–187. https://doi.org/10.1002/cne.901390202
    OpenUrlCrossRefPubMed
  4. ↵
    1. Arias-García MA,
    2. Tapia D,
    3. Laville JA,
    4. Calderón VM,
    5. Ramiro-Cortés Y,
    6. Bargas J,
    7. Galarraga E
    (2018) Functional comparison of corticostriatal and thalamostriatal postsynaptic responses in striatal neurons of the mouse. Brain Struct Funct 223:1229–1253. https://doi.org/10.1007/s00429-017-1536-6
    OpenUrl
  5. ↵
    1. Armstrong EC,
    2. Caruso A,
    3. Servadio M,
    4. Andreae LC,
    5. Trezza V,
    6. Scattoni ML,
    7. Fernandes C
    (2019) Assessing the developmental trajectory of mouse models of neurodevelopmental disorders: social and communication deficits in mice with neurexin 1a deletion. Genes Brain Behav 19:e12630. https://doi.org/10.1111/gbb.12630
    OpenUrl
  6. ↵
    1. Aryal P,
    2. Dvir H,
    3. Choe S,
    4. Slesinger PA
    (2009) A discrete alcohol pocket involved in GIRK channel activation. Nat Neurosci 12:988–995. https://doi.org/10.1038/nn.2358 pmid:19561601
    OpenUrlCrossRefPubMed
  7. ↵
    1. Astley SJ
    (2010) Profile of the first 1,400 patients receiving diagnostic evaluations for fetal alcohol spectrum disorder at the Washington state fetal alcohol syndrome diagnostic & prevention network. Can J Clin Pharmacol 17:e132–e164.
    OpenUrlPubMed
  8. ↵
    1. Baho E,
    2. Cristo GD
    (2012) Neural activity and neurotransmission regulate the maturation of the innervation field of cortical GABAergic interneurons in an age-dependent manner. J Neurosci 32:911–918. https://doi.org/10.1523/JNEUROSCI.4352-11.2012 pmid:22262889
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Bartos M,
    2. Vida I,
    3. Jonas P
    (2007) Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks. Nat Rev Neurosci 8:45–56. https://doi.org/10.1038/nrn2044
    OpenUrlCrossRefPubMed
  10. ↵
    1. Bates EA
    (2013) A potential molecular target for morphological defects of fetal alcohol syndrome: Kir2.1. Curr Opin Genet Dev 23:324–329. https://doi.org/10.1016/j.gde.2013.05.001
    OpenUrlCrossRef
  11. ↵
    1. Belleau ML,
    2. Warren RA
    (2000) Postnatal development of electrophysiological properties of nucleus accumbens neurons. J Neurophysiol 84:2204–2216. https://doi.org/10.1152/jn.2000.84.5.2204
    OpenUrlCrossRefPubMed
  12. ↵
    1. Ben-Ari Y,
    2. Khalilov I,
    3. Kahle KT,
    4. Cherubini E
    (2012) The GABA excitatory/inhibitory shift in brain maturation and neurological disorders. Neuroscientist 18:467–486. https://doi.org/10.1177/1073858412438697
    OpenUrlCrossRefPubMed
  13. ↵
    1. Bengtsson Gonzales C,
    2. Hunt S,
    3. Munoz-Manchado AB,
    4. McBain CJ,
    5. Hjerling-Leffler J
    (2020) Intrinsic electrophysiological properties predict variability in morphology and connectivity among striatal parvalbumin -expressing Pthlh-cells. Sci Rep 10:15680. https://doi.org/10.1038/s41598-020-72588-1 pmid:32973206
    OpenUrlCrossRefPubMed
  14. ↵
    1. Benthall KN,
    2. Cording KR,
    3. Agopyan-Miu AHCW,
    4. Wong CD,
    5. Chen EY,
    6. Bateup HS
    (2021) Loss of Tsc1 from striatal direct pathway neurons impairs endocannabinoid-LTD and enhances motor routine learning. Cell Rep 36:109511. https://doi.org/10.1016/j.celrep.2021.109511 pmid:34380034
    OpenUrlCrossRefPubMed
  15. ↵
    1. Bertero A,
    2. Zurita H,
    3. Normandin M,
    4. Apicella AJ
    (2020) Auditory long-range parvalbumin cortico-striatal neurons. Front Neural Circuits 14:2020. https://doi.org/10.3389/fncir.2020.00045 pmid:32792912
    OpenUrlPubMed
  16. ↵
    1. Bignami G
    (1996) Economical test methods for developmental neurobehavioral toxicity. Environ Health Perspect 104:285–298. https://doi.org/10.1289/ehp.96104s2285 pmid:9182035
    OpenUrlCrossRefPubMed
  17. ↵
    1. Blanchard BA,
    2. Steindorf S,
    3. Wang S,
    4. LeFevre R,
    5. Mankes RF,
    6. Glick SD
    (1993) Prenatal ethanol exposure alters ethanol-induced dopamine release in nucleus accumbens and striatum in male and female rats. Alcohol Clin Exp Res 17:974–981. https://doi.org/10.1111/j.1530-0277.1993.tb05651.x
    OpenUrlPubMed
  18. ↵
    1. Blomeley CP,
    2. Cains S,
    3. Smith R,
    4. Bracci E
    (2011) Ethanol affects striatal interneurons directly and projection neurons through a reduction in cholinergic tone. Neuropsychopharmacology 36:1033–1046. https://doi.org/10.1038/npp.2010.241 pmid:21289603
    OpenUrlCrossRefPubMed
  19. ↵
    1. Boccalaro IL,
    2. Cristiá-Lara L,
    3. Schwerdel C,
    4. Fritschy J-M,
    5. Rubi L
    (2019) Cell type-specific distribution of GABAA receptor subtypes in the mouse dorsal striatum. J Comp Neurol 527:2030–2046. https://doi.org/10.1002/cne.24665
    OpenUrlCrossRef
  20. ↵
    1. Boggan WO,
    2. Xu W,
    3. Shepherd CL,
    4. Middaugh LD
    (1996) Effects of prenatal ethanol exposure on dopamine systems in C57BL/6J mice. Neurotoxicol Teratol 18:41–48. https://doi.org/10.1016/0892-0362(95)02027-6
    OpenUrlPubMed
  21. ↵
    1. Bölte S,
    2. Neufeld J,
    3. Marschik PB,
    4. Williams ZJ,
    5. Gallagher L,
    6. Lai MC
    (2023) Sex and gender in neurodevelopmental conditions. Nat Rev Neurol 19:136–159. https://doi.org/10.1038/s41582-023-00774-6 pmid:36747038
    OpenUrlCrossRefPubMed
  22. ↵
    1. Bortone D,
    2. Polleux F
    (2009) KCC2 expression promotes the termination of cortical interneuron migration in a voltage-sensitive calcium-dependent manner. Neuron 62:53–71. https://doi.org/10.1016/j.neuron.2009.01.034 pmid:19376067
    OpenUrlCrossRefPubMed
  23. ↵
    1. Bosco C,
    2. Diaz E
    (2012) Placental hypoxia and foetal development versus alcohol exposure in pregnancy. Alcohol Alcohol 47:109–117. https://doi.org/10.1093/alcalc/agr166
    OpenUrlCrossRefPubMed
  24. ↵
    1. Brodie MS,
    2. Scholz A,
    3. Weiger TM,
    4. Dopico AM
    (2007) Ethanol interactions with calcium-dependent potassium channels. Alcohol Clin Exp Res 31:1625–1632. https://doi.org/10.1111/j.1530-0277.2007.00469.x
    OpenUrlCrossRefPubMed
  25. ↵
    1. Cao J,
    2. Dorris D,
    3. Meitzen J
    (2016) Neonatal masculinization blocks increased excitatory synaptic input in female rat nucleus accumbens core. Endocrinology 157:3181–3196. https://doi.org/10.1210/en.2016-1160 pmid:27285859
    OpenUrlPubMed
  26. ↵
    1. Cataldi S,
    2. Stanley AT,
    3. Miniaci MC,
    4. Sulzer D
    (2021) Interpreting the role of the striatum during multiple phases of motor learning. FEBS J 289:2263–2281. https://doi.org/10.1111/febs.15908 pmid:33977645
    OpenUrlPubMed
  27. ↵
    1. Cazorla M,
    2. de Carvalho FD,
    3. Chohan MO,
    4. Shegda M,
    5. Chuhma N,
    6. Rayport S,
    7. Ahmari SE,
    8. Moore H,
    9. Kellendonk C
    (2014) Dopamine D2 receptors regulate the anatomical and functional balance of basal ganglia circuitry. Neuron 81:153–164. https://doi.org/10.1016/j.neuron.2013.10.041 pmid:24411738
    OpenUrlCrossRefPubMed
  28. ↵
    1. Chater-Diehl EJ,
    2. Laufer BI,
    3. Singh SM
    (2017) Changes to histone modifications following prenatal alcohol exposure: an emerging picture. Alcohol 60:41–52. https://doi.org/10.1016/j.alcohol.2017.01.005
    OpenUrlCrossRefPubMed
  29. ↵
    1. Cheng Y,
    2. Wang X,
    3. Wei X,
    4. Xie X,
    5. Melo S,
    6. Miranda RC,
    7. Wang J
    (2018) Prenatal exposure to alcohol induces functional and structural plasticity in dopamine D1 receptor-expressing neurons of the dorsomedial striatum. Alcohol Clin Exp Res 42:1493–1502. https://doi.org/10.1111/acer.13806 pmid:29870053
    OpenUrlCrossRefPubMed
  30. ↵
    1. Chesselet M-F,
    2. Plotkin JL,
    3. Wu N,
    4. Levine MS
    (2007) Development of striatal fast-spiking GABAergic interneurons. In: Progress in brain research, GABA and the basal ganglia (Tepper JM, Abercrombie ED, Bolam JP, eds), pp 261–272. Los Angeles, CA: Elsevier.
  31. ↵
    1. Clarke R,
    2. Adermark L
    (2015) Dopaminergic regulation of striatal interneurons in reward and addiction: focus on alcohol. Neural Plast 2015:814567. https://doi.org/10.1155/2015/814567 pmid:26246915
    OpenUrlCrossRefPubMed
  32. ↵
    1. Connor PD,
    2. Sampson PD,
    3. Streissguth AP,
    4. Bookstein FL,
    5. Barr HM
    (2006) Effects of prenatal alcohol exposure on fine motor coordination and balance: a study of two adult samples. Neuropsychologia 44:744–751. https://doi.org/10.1016/j.neuropsychologia.2005.07.016
    OpenUrlCrossRefPubMed
  33. ↵
    1. Cortese BM,
    2. Moore GJ,
    3. Bailey BA,
    4. Jacobson SW,
    5. Delaney-Black V,
    6. Hannigan JH
    (2006) Magnetic resonance and spectroscopic imaging in prenatal alcohol-exposed children: preliminary findings in the caudate nucleus. Neurotoxicol Teratol 28:597–606. https://doi.org/10.1016/j.ntt.2006.08.002
    OpenUrlCrossRefPubMed
  34. ↵
    1. Crawley JN
    (2012) Translational animal models of autism and neurodevelopmental disorders. Dialogues Clin Neurosci 14:293–305. https://doi.org/10.31887/DCNS.2012.14.3/jcrawley pmid:23226954
    OpenUrlPubMed
  35. ↵
    1. Cui G,
    2. Jun SB,
    3. Jin X,
    4. Pham MD,
    5. Vogel SS,
    6. Lovinger DM,
    7. Costa RM
    (2013) Concurrent activation of striatal direct and indirect pathways during action initiation. Nature 494:238–242. https://doi.org/10.1038/nature11846 pmid:23354054
    OpenUrlCrossRefPubMed
  36. ↵
    1. Cuzon Carlson VC,
    2. Gremel CM,
    3. Lovinger DM
    (2020) Gestational alcohol exposure disrupts cognitive function and striatal circuits in adult offspring. Nat Commun 11:2555. https://doi.org/10.1038/s41467-020-16385-4 pmid:32444624
    OpenUrlCrossRefPubMed
  37. ↵
    1. Darrah J,
    2. Redfern L,
    3. Maguire TO,
    4. Beaulne AP,
    5. Watt J
    (1998) Intra-individual stability of rate of gross motor development in full-term infants. Early Hum Dev 52:169–179. https://doi.org/10.1016/s0378-3782(98)00028-0
    OpenUrlCrossRefPubMed
  38. ↵
    1. Deacon TW,
    2. Pakzaban P,
    3. Isacson O
    (1994) The lateral ganglionic eminence is the origin of cells committed to striatal phenotypes: neural transplantation and developmental evidence. Brain Res 668:211–219. https://doi.org/10.1016/0006-8993(94)90526-6
    OpenUrlCrossRefPubMed
  39. ↵
    1. De Giorgio A,
    2. Comparini SE,
    3. Intra FS,
    4. Granato A
    (2012) Long-term alterations of striatal parvalbumin interneurons in a rat model of early exposure to alcohol. J Neurodev Disord 4:18. https://doi.org/10.1186/1866-1955-4-18 pmid:22958715
    OpenUrlCrossRefPubMed
  40. ↵
    1. Dehorter N,
    2. Guigoni C,
    3. Lopez C,
    4. Hirsch J,
    5. Eusebio A,
    6. Ben-Ari Y,
    7. Hammond C
    (2009) Dopamine-deprived striatal GABAergic interneurons burst and generate repetitive gigantic IPSCs in medium spiny neurons. J Neurosci 29:7776–7787. https://doi.org/10.1523/JNEUROSCI.1527-09.2009 pmid:19535589
    OpenUrlAbstract/FREE Full Text
  41. ↵
    1. Dehorter N,
    2. Michel FJ,
    3. Marissal T,
    4. Rotrou Y,
    5. Matrot B,
    6. Lopez C,
    7. Humphries MD,
    8. Hammond C
    (2011) Onset of pup locomotion coincides with loss of NR2C/D-mediated cortico-striatal EPSCs and dampening of striatal network immature activity. Front Cell Neurosci 5:24. https://doi.org/10.3389/fncel.2011.00024 pmid:22125512
    OpenUrlCrossRefPubMed
  42. ↵
    1. Delatour LC,
    2. Yeh PW,
    3. Yeh HH
    (2019a) Ethanol exposure in utero disrupts radial migration and pyramidal cell development in the somatosensory cortex. Cereb Cortex 29:2125–2139. https://doi.org/10.1093/cercor/bhy094 pmid:29688328
    OpenUrlCrossRefPubMed
  43. ↵
    1. Delatour LC,
    2. Yeh PWL,
    3. Yeh HH
    (2019b) Prenatal exposure to ethanol alters synaptic activity in layer V/VI pyramidal neurons of the somatosensory cortex. Cereb Cortex 30:1735–1751. https://doi.org/10.1093/cercor/bhz199 pmid:31647550
    OpenUrlPubMed
  44. ↵
    1. DiPietro JA,
    2. Voegtline KM
    (2017) The gestational foundation of sex differences in development and vulnerability. Neuroscience 342:4–20. https://doi.org/10.1016/j.neuroscience.2015.07.068 pmid:26232714
    OpenUrlPubMed
  45. ↵
    1. Donald KA, et al.
    (2016) Interhemispheric functional brain connectivity in neonates with prenatal alcohol exposure: preliminary findings. Alcohol Clin Exp Res 40:113–121. https://doi.org/10.1111/acer.12930 pmid:26727529
    OpenUrlCrossRefPubMed
  46. ↵
    1. Doney R, et al.
    (2016) Visual-motor integration, visual perception, and fine motor coordination in a population of children with high levels of fetal alcohol spectrum disorder. Res Dev Disabil 55:346–357. https://doi.org/10.1016/j.ridd.2016.05.009
    OpenUrl
  47. ↵
    1. Doney R,
    2. Lucas BR,
    3. Jones T,
    4. Howat J,
    5. Sauer K,
    6. Elliott EJ
    (2014) Fine motor skills in children with prenatal alcohol exposure or fetal alcohol spectrum disorder. J Dev Behav Pediatr 35:598–609. https://doi.org/10.1097/DBP.0000000000000107
    OpenUrl
  48. ↵
    1. Dorris DM,
    2. Cao J,
    3. Willett JA,
    4. Hauser CA,
    5. Meitzen J
    (2015) Intrinsic excitability varies by sex in prepubertal striatal medium spiny neurons. J Neurophysiol 113:720–729. https://doi.org/10.1152/jn.00687.2014 pmid:25376786
    OpenUrlCrossRefPubMed
  49. ↵
    1. Duhne M,
    2. Lara-González E,
    3. Laville A,
    4. Padilla-Orozco M,
    5. Ávila-Cascajares F,
    6. Arias-García M,
    7. Galarraga E,
    8. Bargas J
    (2020) Activation of parvalbumin-expressing neurons reconfigures neuronal ensembles in murine striatal microcircuits. Eur J Neurosci 53:2149–2164. https://doi.org/10.1111/ejn.14670
    OpenUrl
  50. ↵
    1. El Shawa H,
    2. Abbott CW,
    3. Huffman KJ
    (2013) Prenatal ethanol exposure disrupts intraneocortical circuitry, cortical gene expression, and behavior in a mouse model of FASD. J Neurosci 33:18893–18905. https://doi.org/10.1523/JNEUROSCI.3721-13.2013 pmid:24285895
    OpenUrlAbstract/FREE Full Text
  51. ↵
    1. Ferguson SM,
    2. Eskenazi D,
    3. Ishikawa M,
    4. Wanat MJ,
    5. Phillips PEM,
    6. Dong Y,
    7. Roth BL,
    8. Neumaier JF
    (2011) Transient neuronal inhibition reveals opposing roles of indirect and direct pathways in sensitization. Nat Neurosci 14:22–24. https://doi.org/10.1038/nn.2703 pmid:21131952
    OpenUrlCrossRefPubMed
  52. ↵
    1. Fish BS,
    2. Rank SA,
    3. Wilson JR,
    4. Collins AC
    (1981) Viability and sensorimotor development of mice exposed to prenatal short-term ethanol. Pharmacol Biochem Behav 14:57–65. https://doi.org/10.1016/0091-3057(81)90103-9
    OpenUrlPubMed
  53. ↵
    1. Flannigan K,
    2. Poole N,
    3. Cook J,
    4. Unsworth K
    (2023) Sex-related differences among individuals assessed for fetal alcohol spectrum disorder in Canada. Alcohol Clin Exp Res 47:613–623. https://doi.org/10.1111/acer.15017
    OpenUrl
  54. ↵
    1. Fox WM
    (1965) Reflex-ontogeny and behavioural development of the mouse. Anim Behav 13:234–241. https://doi.org/10.1016/0003-3472(65)90041-2
    OpenUrlCrossRefPubMed
  55. ↵
    1. Fox DJ, et al.
    (2015) Fetal alcohol syndrome among children aged 7–9 years—Arizona, Colorado, and New York, 2010. Morb Mortal Wkly Rep 64:54–57.
    OpenUrlPubMed
  56. ↵
    1. Gazan A,
    2. Rial D,
    3. Schiffmann SN
    (2019) Ablation of striatal somatostatin interneurons affects MSN morphology and electrophysiological properties, and increases cocaine-induced hyperlocomotion in mice. Eur J Neurosci 51:1388–1402. https://doi.org/10.1111/ejn.14581
    OpenUrl
  57. ↵
    1. Gertler TS,
    2. Chan CS,
    3. Surmeier DJ
    (2008) Dichotomous anatomical properties of adult striatal medium spiny neurons. J Neurosci 28:10814–10824. https://doi.org/10.1523/JNEUROSCI.2660-08.2008 pmid:18945889
    OpenUrlAbstract/FREE Full Text
  58. ↵
    1. Giacometti L,
    2. Barker J
    (2020) Sex differences in the glutamate system: implications for addiction. Neurosci Biobehav Rev 113:157–168. https://doi.org/10.1016/j.neubiorev.2020.03.010 pmid:32173404
    OpenUrlCrossRefPubMed
  59. ↵
    1. Gittis AH,
    2. Nelson AB,
    3. Thwin MT,
    4. Palop JJ,
    5. Kreitzer AC
    (2010) Distinct roles of GABAergic interneurons in the regulation of striatal output pathways. J Neurosci 30:2223–2234. https://doi.org/10.1523/JNEUROSCI.4870-09.2010 pmid:20147549
    OpenUrlAbstract/FREE Full Text
  60. ↵
    1. Granato A,
    2. Santarelli M,
    3. Sbriccoli A,
    4. Minciacchi D
    (1995) Multifaceted alterations of the thalamo-cortico-thalamic loop in adult rats prenatally exposed to ethanol. Anat Embryol 191:11–23. https://doi.org/10.1007/BF00215293
    OpenUrlPubMed
  61. ↵
    1. Graybiel AM,
    2. Grafton ST
    (2015) The striatum: where skills and habits meet. Cold Spring Harb Perspect Biol 7:a021691. https://doi.org/10.1101/cshperspect.a021691 pmid:26238359
    OpenUrlAbstract/FREE Full Text
  62. ↵
    1. Gritton HJ,
    2. Howe WM,
    3. Romano MF,
    4. DiFeliceantonio AG,
    5. Kramer MA,
    6. Saligrama V,
    7. Bucklin ME,
    8. Zemel D,
    9. Han X
    (2019) Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement. Nat Neurosci 22:586–597. https://doi.org/10.1038/s41593-019-0341-3 pmid:30804530
    OpenUrlCrossRefPubMed
  63. ↵
    1. Hendrickson TJ, et al.
    (2018) Two-year cortical trajectories are abnormal in children and adolescents with prenatal alcohol exposure. Dev Cogn Neurosci 30:123–133. https://doi.org/10.1016/j.dcn.2018.02.008 pmid:29486453
    OpenUrlPubMed
  64. ↵
    1. Holly EN,
    2. Davatolhagh MF,
    3. España RA,
    4. Fuccillo MV
    (2021) Striatal low-threshold spiking interneurons locally gate dopamine. Curr Biol 31:4139–4147. https://doi.org/10.1016/j.cub.2021.06.081 pmid:34302742
    OpenUrlCrossRefPubMed
  65. ↵
    1. Huang S,
    2. Uusisaari M
    (2013) Physiological temperature during brain slicing enhances the quality of acute slice preparations. Front Cell Neurosci 7:2013. https://doi.org/10.3389/fncel.2013.00048 pmid:23630465
    OpenUrlPubMed
  66. ↵
    1. Hunt WA,
    2. Mullin MJ
    (1985) Effects of ethanol exposure on brain sodium channels. Alcohol Drug Res 6:419–422.
    OpenUrlPubMed
  67. ↵
    1. Jin X,
    2. Tecuapetla F,
    3. Costa RM
    (2014) Basal ganglia subcircuits distinctively encode the parsing and concatenation of action sequences. Nat Neurosci 17:423–430. https://doi.org/10.1038/nn.3632 pmid:24464039
    OpenUrlCrossRefPubMed
  68. ↵
    1. Johansson Y,
    2. Silberberg G
    (2020) The functional organization of cortical and thalamic inputs onto five types of striatal neurons is determined by source and target cell identities. Cell Rep 30:1178–1194.e3. https://doi.org/10.1016/j.celrep.2019.12.095 pmid:31995757
    OpenUrlCrossRefPubMed
  69. ↵
    1. Kalemaki K,
    2. Velli A,
    3. Christodoulou O,
    4. Denaxa M,
    5. Karagogeos D,
    6. Sidiropoulou K
    (2022) The developmental changes in intrinsic and synaptic properties of prefrontal neurons enhance local network activity from the second to the third postnatal weeks in mice. Cereb Cortex 32:3633–3650. https://doi.org/10.1093/cercor/bhab438
    OpenUrlCrossRefPubMed
  70. ↵
    1. Kar P,
    2. Reynolds JE,
    3. Gibbard WB,
    4. McMorris C,
    5. Tortorelli C,
    6. Lebel C
    (2022) Trajectories of brain white matter development in young children with prenatal alcohol exposure. Hum Brain Mapp 43:4145–4157. https://doi.org/10.1002/hbm.25944 pmid:35596624
    OpenUrlCrossRefPubMed
  71. ↵
    1. Kleiber ML,
    2. Diehl EJ,
    3. Laufer BI,
    4. Mantha K,
    5. Chokroborty-Hoque A,
    6. Alberry B,
    7. Singh SM
    (2014) Long-term genomic and epigenomic dysregulation as a consequence of prenatal alcohol exposure: a model for fetal alcohol spectrum disorders. Front Genet 5:2014. https://doi.org/10.3389/fgene.2014.00161 pmid:24917881
    OpenUrlPubMed
  72. ↵
    1. Klug JR,
    2. Engelhardt MD,
    3. Cadman CN,
    4. Li H,
    5. Smith JB,
    6. Ayala S,
    7. Williams EW,
    8. Hoffman H,
    9. Jin X
    (2018) Differential inputs to striatal cholinergic and parvalbumin interneurons imply functional distinctions. Elife 7:e35657. https://doi.org/10.7554/eLife.35657 pmid:29714166
    OpenUrlCrossRefPubMed
  73. ↵
    1. Kocaturk S,
    2. Guven EB,
    3. Shah F,
    4. Tepper JM,
    5. Assous M
    (2022) Cholinergic control of striatal GABAergic microcircuits. Cell Rep 41:111531. https://doi.org/10.1016/j.celrep.2022.111531 pmid:36288709
    OpenUrlPubMed
  74. ↵
    1. Kozorovitskiy Y,
    2. Saunders A,
    3. Johnson CA,
    4. Lowell BB,
    5. Sabatini BL
    (2012) Recurrent network activity drives striatal synaptogenesis. Nature 485:646–650. https://doi.org/10.1038/nature11052 pmid:22660328
    OpenUrlCrossRefPubMed
  75. ↵
    1. Krajeski RN,
    2. Macey-Dare A,
    3. van Heusden F,
    4. Ebrahimjee F,
    5. Ellender TJ
    (2019) Dynamic postnatal development of the cellular and circuit properties of striatal D1 and D2 spiny projection neurons. J Physiol 597:5265–5293. https://doi.org/10.1113/JP278416 pmid:31531863
    OpenUrlCrossRefPubMed
  76. ↵
    1. Kravitz AV,
    2. Tye LD,
    3. Kreitzer AC
    (2012) Distinct roles for direct and indirect pathway striatal neurons in reinforcement. Nat Neurosci 15:816–818. https://doi.org/10.1038/nn.3100 pmid:22544310
    OpenUrlCrossRefPubMed
  77. ↵
    1. Kwan STC,
    2. Presswood BH,
    3. Helfrich KK,
    4. Baulch JW,
    5. Mooney SM,
    6. Smith SM
    (2020) An interaction between fetal sex and placental weight and efficiency predicts intrauterine growth in response to maternal protein insufficiency and gestational exposure window in a mouse model of FASD. Biol Sex Differ 11:40. https://doi.org/10.1186/s13293-020-00320-9 pmid:32690098
    OpenUrlCrossRefPubMed
  78. ↵
    1. Lahiri AK,
    2. Bevan MD
    (2020) Dopaminergic transmission rapidly and persistently enhances excitability of D1 receptor-expressing striatal projection neurons. Neuron 106:277–290. https://doi.org/10.1016/j.neuron.2020.01.028 pmid:32075716
    OpenUrlCrossRefPubMed
  79. ↵
    1. Lange S,
    2. Probst C,
    3. Gmel G,
    4. Rehm J,
    5. Burd L,
    6. Popova S
    (2017) Global prevalence of fetal alcohol spectrum disorder among children and youth. JAMA Pediatr 171:948–956. https://doi.org/10.1001/jamapediatrics.2017.1919 pmid:28828483
    OpenUrlCrossRefPubMed
  80. ↵
    1. Lebel C, et al.
    (2012) A longitudinal study of the long-term consequences of drinking during pregnancy: heavy in utero alcohol exposure disrupts the normal processes of brain development. J Neurosci 32:15243–15251. https://doi.org/10.1523/JNEUROSCI.1161-12.2012 pmid:23115162
    OpenUrlAbstract/FREE Full Text
  81. ↵
    1. Lee K,
    2. Holley SM,
    3. Shobe JL,
    4. Chong NC,
    5. Cepeda C,
    6. Levine MS,
    7. Masmanidis SC
    (2017) Parvalbumin interneurons modulate striatal output and enhance performance during associative learning. Neuron 93:1451–1463.e4. https://doi.org/10.1016/j.neuron.2017.02.033 pmid:28334608
    OpenUrlCrossRefPubMed
  82. ↵
    1. Lee SM,
    2. Yeh PWL,
    3. Yeh HH
    (2022) L-type calcium channels contribute to ethanol-induced aberrant tangential migration of primordial cortical GABAergic interneurons in the embryonic medial prefrontal cortex. eNeuro 9:ENEURO.0359-21.2021. https://doi.org/10.1523/ENEURO.0359-21.2021 pmid:34930830
    OpenUrlPubMed
  83. ↵
    1. Léger C, et al.
    (2020) In utero alcohol exposure exacerbates endothelial protease activity from pial microvessels and impairs GABA interneuron positioning. Neurobiol Dis 145:105074. https://doi.org/10.1016/j.nbd.2020.105074
    OpenUrlPubMed
  84. ↵
    1. Lenz KM,
    2. Nugent BM,
    3. Haliyur R,
    4. McCarthy MM
    (2013) Microglia are essential to masculinization of brain and behavior. J Neurosci 33:2761–2772. https://doi.org/10.1523/JNEUROSCI.1268-12.2013 pmid:23407936
    OpenUrlAbstract/FREE Full Text
  85. ↵
    1. Lenz S,
    2. Perney TM,
    3. Qin Y,
    4. Robbins E,
    5. Chesselet MF
    (1994) GABA-ergic interneurons of the striatum express the shaw-like potassium channel Kv3.1. Synapse 18:55–66. https://doi.org/10.1002/syn.890180108
    OpenUrlCrossRefPubMed
  86. ↵
    1. Leonzino M,
    2. Busnelli M,
    3. Antonucci F,
    4. Verderio C,
    5. Mazzanti M,
    6. Chini B
    (2016) The timing of the excitatory-to-inhibitory GABA switch is regulated by the oxytocin receptor via KCC2. Cell Rep 15:96–103. https://doi.org/10.1016/j.celrep.2016.03.013 pmid:27052180
    OpenUrlCrossRefPubMed
  87. ↵
    1. Lieberman OJ,
    2. McGuirt AF,
    3. Mosharov EV,
    4. Pigulevskiy I,
    5. Hobson BD,
    6. Choi S,
    7. Frier MD,
    8. Santini E,
    9. Borgkvist A,
    10. Sulzer D
    (2018) Dopamine triggers the maturation of striatal spiny projection neuron excitability during a critical period. Neuron 99:540–554.e4. https://doi.org/10.1016/j.neuron.2018.06.044 pmid:30057204
    OpenUrlCrossRefPubMed
  88. ↵
    1. Lim SAO,
    2. Kang UJ,
    3. McGehee DS
    (2014) Striatal cholinergic interneuron regulation and circuit effects. Front Synaptic Neurosci 6:22. https://doi.org/10.3389/fnsyn.2014.00022 pmid:25374536
    OpenUrlCrossRefPubMed
  89. ↵
    1. Loke YJ,
    2. Muggli E,
    3. Nguyen L,
    4. Ryan J,
    5. Saffery R,
    6. Elliott EJ,
    7. Halliday J,
    8. Craig JM
    (2018) Time- and sex-dependent associations between prenatal alcohol exposure and placental global DNA methylation. Epigenomics 10:981–991. https://doi.org/10.2217/epi-2017-0147
    OpenUrl
  90. ↵
    1. Long X,
    2. Little G,
    3. Beaulieu C,
    4. Lebel C
    (2018) Sensorimotor network alterations in children and youth with prenatal alcohol exposure. Hum Brain Mapp 39:2258–2268. https://doi.org/10.1002/hbm.24004 pmid:29436054
    OpenUrlCrossRefPubMed
  91. ↵
    1. LoTurco JJ,
    2. Owens DF,
    3. Heath MJS,
    4. Davis MBE,
    5. Kriegstein AR
    (1995) GABA and glutamate depolarize cortical progenitor cells and inhibit DNA synthesis. Neuron 15:1287–1298. https://doi.org/10.1016/0896-6273(95)90008-X
    OpenUrlCrossRefPubMed
  92. ↵
    1. Louth EL,
    2. Luctkar HD,
    3. Heney KA,
    4. Bailey CDC
    (2018) Developmental ethanol exposure alters the morphology of mouse prefrontal neurons in a layer-specific manner. Brain Res 1678:94–105. https://doi.org/10.1016/j.brainres.2017.10.005
    OpenUrl
  93. ↵
    1. Lovinger DM
    (1993) High ethanol sensitivity of recombinant AMPA-type glutamate receptors expressed in mammalian cells. Neurosci Lett 159:83–87. https://doi.org/10.1016/0304-3940(93)90804-t
    OpenUrlCrossRefPubMed
  94. ↵
    1. Lovinger DM,
    2. White G,
    3. Weight FF
    (1989) Ethanol inhibits NMDA-activated ion current in hippocampal neurons. Science 243:1721–1724. https://doi.org/10.1126/science.2467382
    OpenUrlAbstract/FREE Full Text
  95. ↵
    1. Lucas BR,
    2. Latimer J,
    3. Doney R,
    4. Watkins RE,
    5. Tsang TW,
    6. Hawkes G,
    7. Fitzpatrick JP,
    8. Oscar J,
    9. Carter M,
    10. Elliott EJ
    (2016) Gross motor performance in children prenatally exposed to alcohol and living in remote Australia. J Paediatr Child Health 52:814–824. https://doi.org/10.1111/jpc.13240
    OpenUrl
  96. ↵
    1. Madden JT,
    2. Thompson SM,
    3. Magcalas CM,
    4. Wagner JL,
    5. Hamilton DA,
    6. Savage DD,
    7. Clark BJ,
    8. Pentkowski NS
    (2020) Moderate prenatal alcohol exposure reduces parvalbumin expressing GABAergic interneurons in the dorsal hippocampus of adult male and female rat offspring. Neurosci Lett 718:134700. https://doi.org/10.1016/j.neulet.2019.134700 pmid:31874217
    OpenUrlPubMed
  97. ↵
    1. Marguet F,
    2. Friocourt G,
    3. Brosolo M,
    4. Sauvestre F,
    5. Marcorelles P,
    6. Lesueur C,
    7. Marret S,
    8. Gonzalez BJ,
    9. Laquerrière A
    (2020) Prenatal alcohol exposure is a leading cause of interneuronopathy in humans. Acta Neuropathol Commun 8:208. https://doi.org/10.1186/s40478-020-01089-z pmid:33256853
    OpenUrlPubMed
  98. ↵
    1. Marin O,
    2. Anderson SA,
    3. Rubenstein JL
    (2000) Origin and molecular specification of striatal interneurons. J Neurosci 20:6063–6076. https://doi.org/10.1523/JNEUROSCI.20-16-06063.2000 pmid:10934256
    OpenUrlAbstract/FREE Full Text
  99. ↵
    1. Marquardt K,
    2. Cavanagh JF,
    3. Brigman JL
    (2020) Alcohol exposure in utero disrupts cortico-striatal coordination required for behavioral flexibility. Neuropharmacology 162:107832. https://doi.org/10.1016/j.neuropharm.2019.107832 pmid:31678398
    OpenUrlCrossRefPubMed
  100. ↵
    1. Martiros N,
    2. Burgess AA,
    3. Graybiel AM
    (2018) Inversely active striatal projection neurons and interneurons selectively delimit useful behavioral sequences. Curr Biol 28:560–573.e5. https://doi.org/10.1016/j.cub.2018.01.031 pmid:29429614
    OpenUrlCrossRefPubMed
  101. ↵
    1. Marty VN,
    2. Spigelman I
    (2012) Effects of alcohol on the membrane excitability and synaptic transmission of medium spiny neurons in the nucleus accumbens. Alcohol 46:317–327. https://doi.org/10.1016/j.alcohol.2011.12.002 pmid:22445807
    OpenUrlCrossRefPubMed
  102. ↵
    1. Mattson SN,
    2. Crocker N,
    3. Nguyen TT
    (2011) Fetal alcohol spectrum disorders: neuropsychological and behavioral features. Neuropsychol Rev 21:81–101. https://doi.org/10.1007/s11065-011-9167-9 pmid:21503685
    OpenUrlCrossRefPubMed
  103. ↵
    1. May PA, et al.
    (2014) Prevalence and characteristics of fetal alcohol spectrum disorders. Pediatrics 134:855–866. https://doi.org/10.1542/peds.2013-3319 pmid:25349310
    OpenUrlCrossRefPubMed
  104. ↵
    1. May PA, et al.
    (2017) Who is most affected by prenatal alcohol exposure: boys or girls? Drug Alcohol Depend 177:258–267. https://doi.org/10.1016/j.drugalcdep.2017.04.010
    OpenUrlCrossRefPubMed
  105. ↵
    1. May PA,
    2. Hymbaugh KJ,
    3. Aase JM,
    4. Samet JM
    (1983) Epidemiology of fetal alcohol syndrome among American Indians of the southwest. Soc Biol 30:374–387. https://doi.org/10.1080/19485565.1983.9988551
    OpenUrlPubMed
  106. ↵
    1. McGivern RF,
    2. Raum WJ,
    3. Salido E,
    4. Redei E
    (1988) Lack of prenatal testosterone surge in fetal rats exposed to alcohol: alterations in testicular morphology and physiology. Alcohol Clin Exp Res 12:243–247. https://doi.org/10.1111/j.1530-0277.1988.tb00188.x
    OpenUrlCrossRefPubMed
  107. ↵
    1. Melzer S,
    2. Gil M,
    3. Koser DE,
    4. Michael M,
    5. Huang KW,
    6. Monyer H
    (2017) Distinct corticostriatal GABAergic neurons modulate striatal output neurons and motor activity. Cell Rep 19:1045–1055. https://doi.org/10.1016/j.celrep.2017.04.024 pmid:28467898
    OpenUrlCrossRefPubMed
  108. ↵
    1. Michetti C,
    2. Falace A,
    3. Benfenati F,
    4. Fassio A
    (2022) Synaptic genes and neurodevelopmental disorders: from molecular mechanisms to developmental strategies of behavioral testing. Neurobiol Dis 173:105856. https://doi.org/10.1016/j.nbd.2022.105856
    OpenUrlCrossRefPubMed
  109. ↵
    1. Miller JC
    (1983) Sex differences in dopaminergic and cholinergic activity and function in the nigro-striatal system of the rat. Psychoneuroendocrinology 8:225–236. https://doi.org/10.1016/0306-4530(83)90059-8
    OpenUrlCrossRefPubMed
  110. ↵
    1. Miller MW
    (2017) Effect of prenatal exposure to ethanol on the pyramidal tract in developing rats. Brain Res 1672:122–128. https://doi.org/10.1016/j.brainres.2017.07.028
    OpenUrl
  111. ↵
    1. Misgeld U,
    2. Wagner A,
    3. Ohno T
    (1982) Depolarizing IPSPs and depolarization by GABA of rat neostriatum cells in vitro. Exp Brain Res 45:108–114. https://doi.org/10.1007/BF00235769
    OpenUrlPubMed
  112. ↵
    1. Mohammad S, et al.
    (2020) Kcnn2 blockade reverses learning deficits in a mouse model of fetal alcohol spectrum disorders. Nat Neurosci 23:533–543. https://doi.org/10.1038/s41593-020-0592-z pmid:32203497
    OpenUrlPubMed
  113. ↵
    1. Molina JC,
    2. Hoffmann H,
    3. Spear LP,
    4. Spear NE
    (1987) Sensorimotor maturation and alcohol responsiveness in rats prenatally exposed to alcohol during gestational day 8. Neurotoxicol Teratol 9:121–128. https://doi.org/10.1016/0892-0362(87)90088-2
    OpenUrlCrossRefPubMed
  114. ↵
    1. Molnár Z,
    2. Adams R,
    3. Blakemore C
    (1998) Mechanisms underlying the early establishment of thalamocortical connections in the rat. J Neurosci 18:5723–5745. https://doi.org/10.1523/JNEUROSCI.18-15-05723.1998 pmid:9671663
    OpenUrlAbstract/FREE Full Text
  115. ↵
    1. Mooney SM,
    2. Miller MW
    (2010) Prenatal exposure to ethanol affects postnatal neurogenesis in thalamus. Exp Neurol 223:566–573. https://doi.org/10.1016/j.expneurol.2010.02.003 pmid:20170653
    OpenUrlPubMed
  116. ↵
    1. Mooney SM,
    2. Varlinskaya EI
    (2011) Acute prenatal exposure to ethanol and social behavior: effects of age, sex, and timing of exposure. Behav Brain Res 216:358–364. https://doi.org/10.1016/j.bbr.2010.08.014 pmid:20728475
    OpenUrlCrossRefPubMed
  117. ↵
    1. Moore EM,
    2. Xia Y
    (2022) Neurodevelopmental trajectories following prenatal alcohol exposure. Front Hum Neurosci 15:2021. https://doi.org/10.3389/fnhum.2021.695855 pmid:35058760
    OpenUrlPubMed
  118. ↵
    1. Mowery TM,
    2. Penikis KB,
    3. Young SK,
    4. Ferrer CE,
    5. Kotak VC,
    6. Sanes DH
    (2017) The sensory striatum is permanently impaired by transient developmental deprivation. Cell Rep 19:2462–2468. https://doi.org/10.1016/j.celrep.2017.05.083 pmid:28636935
    OpenUrlCrossRefPubMed
  119. ↵
    1. Möykkynen T,
    2. Korpi ER
    (2012) Acute effects of ethanol on glutamate receptors. Basic Clin Pharmacol Toxicol 111:4–13. https://doi.org/10.1111/j.1742-7843.2012.00879.x
    OpenUrlCrossRefPubMed
  120. ↵
    1. Mozhayeva MG,
    2. Sara Y,
    3. Liu X,
    4. Kavalali ET
    (2002) Development of vesicle pools during maturation of hippocampal synapses. J Neurosci 22:654–665. https://doi.org/10.1523/JNEUROSCI.22-03-00654.2002 pmid:11826095
    OpenUrlAbstract/FREE Full Text
  121. ↵
    1. Nakamura K,
    2. Hioki H,
    3. Fujiyama F,
    4. Kaneko T
    (2005) Postnatal changes of vesicular glutamate transporter (VGluT)1 and VGluT2 immunoreactivities and their colocalization in the mouse forebrain. J Comp Neurol 492:263–288. https://doi.org/10.1002/cne.20705
    OpenUrlCrossRefPubMed
  122. ↵
    1. O’Hare JK,
    2. Ade KK,
    3. Sukharnikova T,
    4. Van Hooser SD,
    5. Palmeri ML,
    6. Yin HH,
    7. Calakos N
    (2016) Pathway-specific striatal substrates for habitual behavior. Neuron 89:472–479. https://doi.org/10.1016/j.neuron.2015.12.032 pmid:26804995
    OpenUrlCrossRefPubMed
  123. ↵
    1. Olsson M,
    2. Björklund A,
    3. Campbell K
    (1998) Early specification of striatal projection neurons and interneuronal subtypes in the lateral and medial ganglionic eminence. Neuroscience 84:867–876. https://doi.org/10.1016/S0306-4522(97)00532-0
    OpenUrlCrossRefPubMed
  124. ↵
    1. Owen SF,
    2. Berke JD,
    3. Kreitzer AC
    (2018) Fast-spiking interneurons supply feedforward control of bursting, calcium, and plasticity for efficient learning. Cell 172:683–695.e15. https://doi.org/10.1016/j.cell.2018.01.005 pmid:29425490
    OpenUrlCrossRefPubMed
  125. ↵
    1. Patton MH,
    2. Roberts BM,
    3. Lovinger DM,
    4. Mathur BN
    (2016) Ethanol disinhibits dorsolateral striatal medium spiny neurons through activation of a presynaptic delta opioid receptor. Neuropsychopharmacology 41:1831–1840. https://doi.org/10.1038/npp.2015.353 pmid:26758662
    OpenUrlCrossRefPubMed
  126. ↵
    1. Peixoto RT,
    2. Wang W,
    3. Croney DM,
    4. Kozorovitskiy Y,
    5. Sabatini BL
    (2016) Early hyperactivity and precocious maturation of corticostriatal circuits in Shank3B −/− mice. Nat Neurosci 19:716–724. https://doi.org/10.1038/nn.4260 pmid:26928064
    OpenUrlCrossRefPubMed
  127. ↵
    1. Penzes P,
    2. Buonanno A,
    3. Passafaro M,
    4. Sala C,
    5. Sweet RA
    (2013) Developmental vulnerability of synapses and circuits associated with neuropsychiatric disorders. J Neurochem 126:165–182. https://doi.org/10.1111/jnc.12261 pmid:23574039
    OpenUrlCrossRefPubMed
  128. ↵
    1. Plotkin JL,
    2. Wu N,
    3. Chesselet M-F,
    4. Levine MS
    (2005) Functional and molecular development of striatal fast-spiking GABAergic interneurons and their cortical inputs. Eur J Neurosci 22:1097–1108. https://doi.org/10.1111/j.1460-9568.2005.04303.x
    OpenUrlCrossRefPubMed
  129. ↵
    1. Prüss H,
    2. Wenzel M,
    3. Eulitz D,
    4. Thomzig A,
    5. Karschin A,
    6. Veh RW
    (2003) Kir2 potassium channels in rat striatum are strategically localized to control basal ganglia function. Brain Res Mol Brain Res 110:203–219. https://doi.org/10.1016/s0169-328x(02)00649-6
    OpenUrlCrossRefPubMed
  130. ↵
    1. Rice JP,
    2. Suggs LE,
    3. Lusk AV,
    4. Parker MO,
    5. Candelaria-Cook FT,
    6. Akers KG,
    7. Savage DD,
    8. Hamilton DA
    (2012) Effects of exposure to moderate levels of ethanol during prenatal brain development on dendritic length, branching, and spine density in the nucleus accumbens and dorsal striatum of adult rats. Alcohol 46:577–584. https://doi.org/10.1016/j.alcohol.2011.11.008 pmid:22749340
    OpenUrlPubMed
  131. ↵
    1. Rodriguez CI,
    2. Magcalas CM,
    3. Barto D,
    4. Fink BC,
    5. Rice JP,
    6. Bird CW,
    7. Davies S,
    8. Pentkowski NS,
    9. Savage DD,
    10. Hamilton DA
    (2016) Effects of sex and housing on social, spatial, and motor behavior in adult rats exposed to moderate levels of alcohol during prenatal development. Behav Brain Res 313:233–243. https://doi.org/10.1016/j.bbr.2016.07.018 pmid:27424779
    OpenUrlCrossRefPubMed
  132. ↵
    1. Roselli V,
    2. Guo C,
    3. Huang D,
    4. Wen D,
    5. Zona D,
    6. Liang T,
    7. Ma Y-Y
    (2020) Prenatal alcohol exposure reduces posterior dorsomedial striatum excitability and motivation in a sex- and age-dependent fashion. Neuropharmacology 180:108310. https://doi.org/10.1016/j.neuropharm.2020.108310 pmid:32950559
    OpenUrlPubMed
  133. ↵
    1. Rouzer SK,
    2. Diaz MR
    (2022) Moderate prenatal alcohol exposure modifies sex-specific CRFR1 activity in the central amygdala and anxiety-like behavior in adolescent offspring. Neuropsychopharmacology 47:2140–2149. https://doi.org/10.1038/s41386-022-01327-z pmid:35478009
    OpenUrlPubMed
  134. ↵
    1. Ruden JB,
    2. Dugan LL,
    3. Konradi C
    (2021) Parvalbumin interneuron vulnerability and brain disorders. Neuropsychopharmacology 46:279–287. https://doi.org/10.1038/s41386-020-0778-9 pmid:32722660
    OpenUrlCrossRefPubMed
  135. ↵
    1. Rueda-Orozco PE,
    2. Robbe D
    (2015) The striatum multiplexes contextual and kinematic information to constrain motor habits execution. Nat Neurosci 18:453–460. https://doi.org/10.1038/nn.3924 pmid:25622144
    OpenUrlCrossRefPubMed
  136. ↵
    1. Salem NA,
    2. Mahnke AH,
    3. Konganti K,
    4. Hillhouse AE,
    5. Miranda RC
    (2021) Cell-type and fetal-sex-specific targets of prenatal alcohol exposure in developing mouse cerebral cortex. iScience 24:102439. https://doi.org/10.1016/j.isci.2021.102439 pmid:33997709
    OpenUrlPubMed
  137. ↵
    1. Sambo D,
    2. Gohel C,
    3. Yuan Q,
    4. Sukumar G,
    5. Alba C,
    6. Dalgard CL,
    7. Goldman D
    (2022) Cell type-specific changes in Wnt signaling and neuronal differentiation in the developing mouse cortex after prenatal alcohol exposure during neurogenesis. Front Cell Dev Biol 10:1011974. https://doi.org/10.3389/fcell.2022.1011974 pmid:36544903
    OpenUrlPubMed
  138. ↵
    1. Schambra UB,
    2. Goldsmith J,
    3. Nunley K,
    4. Liu Y,
    5. Harirforoosh S,
    6. Schambra HM
    (2015) Low and moderate prenatal ethanol exposures of mice during gastrulation or neurulation delays neurobehavioral development. Neurotoxicol Teratol 51:1–11. https://doi.org/10.1016/j.ntt.2015.07.003 pmid:26171567
    OpenUrlCrossRefPubMed
  139. ↵
    1. Schambra UB,
    2. Nunley K,
    3. Harrison TA,
    4. Lewis CN
    (2016) Consequences of low or moderate prenatal ethanol exposures during gastrulation or neurulation for open field activity and emotionality in mice. Neurotoxicol Teratol 57:39–53. https://doi.org/10.1016/j.ntt.2016.06.003
    OpenUrlCrossRefPubMed
  140. ↵
    1. Schindelin J, et al.
    (2012) Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682. https://doi.org/10.1038/nmeth.2019 pmid:22743772
    OpenUrlCrossRefPubMed
  141. ↵
    1. Schwarz JM,
    2. Sholar PW,
    3. Bilbo SD
    (2012) Sex differences in microglial colonization of the developing rat brain. J Neurochem 120:948–963. https://doi.org/10.1111/j.1471-4159.2011.07630.x pmid:22182318
    OpenUrlCrossRefPubMed
  142. ↵
    1. Sernagor E,
    2. Chabrol F,
    3. Bony G,
    4. Cancedda L
    (2010) GABAergic control of neurite outgrowth and remodeling during development and adult neurogenesis: general rules and differences in diverse systems. Front Cell Neurosci 4:2010. https://doi.org/10.3389/fncel.2010.00011 pmid:20428495
    OpenUrlPubMed
  143. ↵
    1. Skorput A,
    2. Gupta VP,
    3. Yeh PWL,
    4. Yeh HH
    (2015) Persistent interneuronopathy in the prefrontal cortex of young adult offspring exposed to ethanol in utero. J Neurosci 35:10977–10988. https://doi.org/10.1523/JNEUROSCI.1462-15.2015 pmid:26245961
    OpenUrlAbstract/FREE Full Text
  144. ↵
    1. Skorput A,
    2. Lee SM,
    3. Yeh PW,
    4. Yeh HH
    (2019) The NKCC1 antagonist bumetanide mitigates interneuronopathy associated with ethanol exposure in utero. Elife 8:e48648. https://doi.org/10.7554/eLife.48648 pmid:31545168
    OpenUrlPubMed
  145. ↵
    1. Smith Y,
    2. Raju DV,
    3. Pare J-F,
    4. Sidibe M
    (2004) The thalamostriatal system: a highly specific network of the basal ganglia circuitry. Trends Neurosci 27:520–527. https://doi.org/10.1016/j.tins.2004.07.004
    OpenUrlCrossRefPubMed
  146. ↵
    1. Sohur US,
    2. Padmanabhan HK,
    3. Kotchetkov IS,
    4. Menezes JRL,
    5. Macklis JD
    (2014) Anatomic and molecular development of corticostriatal projection neurons in mice. Cereb Cortex 24:293–303. https://doi.org/10.1093/cercor/bhs342 pmid:23118198
    OpenUrlCrossRefPubMed
  147. ↵
    1. Straub C,
    2. Saulnier JL,
    3. Bègue A,
    4. Feng DD,
    5. Huang KW,
    6. Sabatini BL
    (2016) Principles of synaptic organization of GABAergic interneurons in the striatum. Neuron 92:84–92. https://doi.org/10.1016/j.neuron.2016.09.007 pmid:27710792
    OpenUrlCrossRefPubMed
  148. ↵
    1. Supekar K,
    2. Menon V
    (2015) Sex differences in structural organization of motor systems and their dissociable links with repetitive/restricted behaviors in children with autism. Mol Autism 6:50. https://doi.org/10.1186/s13229-015-0042-z pmid:26347127
    OpenUrlCrossRefPubMed
  149. ↵
    1. Sutherland S,
    2. Brunwasser SM
    (2018) Sex differences in vulnerability to prenatal stress: a review of the recent literature. Curr Psychiatry Rep 20:102. https://doi.org/10.1007/s11920-018-0961-4 pmid:30229468
    OpenUrlCrossRefPubMed
  150. ↵
    1. Tapia D,
    2. Suárez P,
    3. Arias-García MA,
    4. Garcia-Vilchis B,
    5. Serrano-Reyes M,
    6. Bargas J,
    7. Galarraga E
    (2019) Localization of chloride co-transporters in striatal neurons. Neuroreport 30:457–462. https://doi.org/10.1097/WNR.0000000000001234
    OpenUrl
  151. ↵
    1. Tavian D,
    2. De Giorgio A,
    3. Granato A
    (2011) Selective underexpression of Kv3.2 and Kv3.4 channels in the cortex of rats exposed to ethanol during early postnatal life. Neurol Sci 32:571–577. https://doi.org/10.1007/s10072-010-0446-7
    OpenUrlCrossRefPubMed
  152. ↵
    1. Tepper JM,
    2. Sharpe NA,
    3. Koós TZ,
    4. Trent F
    (1998) Postnatal development of the rat neostriatum: electrophysiological, light- and electron-microscopic studies. Dev Neurosci 20:125–145. https://doi.org/10.1159/000017308
    OpenUrlCrossRefPubMed
  153. ↵
    1. Tepper JM,
    2. Wilson CJ,
    3. Koós T
    (2008) Feedforward and feedback inhibition in neostriatal GABAergic spiny neurons. Brain Res Rev 58:272–281. https://doi.org/10.1016/j.brainresrev.2007.10.008 pmid:18054796
    OpenUrlCrossRefPubMed
  154. ↵
    1. Thanh NX,
    2. Jonsson E,
    3. Salmon A,
    4. Sebastianski M
    (2014) Incidence and prevalence of fetal alcohol spectrum disorder by sex and age group in Alberta, Canada. J Popul Ther Clin Pharmacol 21:e395–e404.
    OpenUrlPubMed
  155. ↵
    1. Tousley AR,
    2. Yeh PWL,
    3. Yeh HH
    (2022) Precocious emergence of cognitive and synaptic dysfunction in 3xTg-AD mice exposed prenatally to ethanol. Alcohol 107:56–72. https://doi.org/10.1016/j.alcohol.2022.08.003 pmid:36038084
    OpenUrlPubMed
  156. ↵
    1. Treit S,
    2. Zhou D,
    3. Lebel C,
    4. Rasmussen C,
    5. Andrew G,
    6. Beaulieu C
    (2014) Longitudinal MRI reveals impaired cortical thinning in children and adolescents prenatally exposed to alcohol. Hum Brain Mapp 35:4892–4903. https://doi.org/10.1002/hbm.22520 pmid:24700453
    OpenUrlCrossRefPubMed
  157. ↵
    1. Tupsila R,
    2. Siritaratiwat W,
    3. Bennett S,
    4. Mato L,
    5. Keeratisiroj O
    (2022) Intra-individual variability in gross motor development in healthy full-term infants aged 0–13 months and associated factors during child rearing. Children 9:801. https://doi.org/10.3390/children9060801 pmid:35740738
    OpenUrlPubMed
  158. ↵
    1. Valentini NC,
    2. Pereira KRG,
    3. Chiquetti EMDS,
    4. Formiga CKMR,
    5. Linhares MBM
    (2019) Motor trajectories of preterm and full-term infants in the first year of life. Pediatr Int 61:967–977. https://doi.org/10.1111/ped.13963
    OpenUrl
  159. ↵
    1. Villar-Cerviño V,
    2. Kappeler C,
    3. Nóbrega-Pereira S,
    4. Henkemeyer M,
    5. Rago L,
    6. Nieto MA,
    7. Marín O
    (2015) Molecular mechanisms controlling the migration of striatal interneurons. J Neurosci 35:8718–8729. https://doi.org/10.1523/JNEUROSCI.4317-14.2015 pmid:26063906
    OpenUrlAbstract/FREE Full Text
  160. ↵
    1. Vizcarra-Chacón BJ,
    2. Arias-García MA,
    3. Pérez-Ramírez MB,
    4. Flores-Barrera E,
    5. Tapia D,
    6. Drucker-Colin R,
    7. Bargas J,
    8. Galarraga E
    (2013) Contribution of different classes of glutamate receptors in the corticostriatal polysynaptic responses from striatal direct and indirect projection neurons. BMC Neurosci 14:60. https://doi.org/10.1186/1471-2202-14-60 pmid:23782743
    OpenUrlCrossRefPubMed
  161. ↵
    1. Wall NR,
    2. De La Parra M,
    3. Callaway EM,
    4. Kreitzer AC
    (2013) Differential innervation of direct- and indirect-pathway striatal projection neurons. Neuron 79:347–360. https://doi.org/10.1016/j.neuron.2013.05.014 pmid:23810541
    OpenUrlCrossRefPubMed
  162. ↵
    1. Walter HJ,
    2. Messing RO
    (1999) Regulation of neuronal voltage-gated calcium channels by ethanol. Neurochem Int 35:95–101. https://doi.org/10.1016/S0197-0186(99)00050-9
    OpenUrlCrossRefPubMed
  163. ↵
    1. Wang DD,
    2. Kriegstein AR
    (2008) GABA regulates excitatory synapse formation in the neocortex via NMDA receptor activation. J Neurosci 28:5547–5558. https://doi.org/10.1523/JNEUROSCI.5599-07.2008 pmid:18495889
    OpenUrlAbstract/FREE Full Text
  164. ↵
    1. Wilson CJ,
    2. Kawaguchi Y
    (1996) The origins of two-state spontaneous membrane potential fluctuations of neostriatal spiny neurons. J Neurosci 16:2397–2410. https://doi.org/10.1523/JNEUROSCI.16-07-02397.1996 pmid:8601819
    OpenUrlAbstract/FREE Full Text
  165. ↵
    1. Wozniak JR,
    2. Riley EP,
    3. Charness ME
    (2019) Clinical presentation, diagnosis, and management of fetal alcohol spectrum disorder. Lancet Neurol 18:760–770. https://doi.org/10.1016/S1474-4422(19)30150-4
    OpenUrlCrossRefPubMed
  166. ↵
    1. Xu M,
    2. Li L,
    3. Pittenger C
    (2016) Ablation of fast-spiking interneurons in the dorsal striatum, recapitulating abnormalities seen post-mortem in Tourette syndrome, produces anxiety and elevated grooming. Neuroscience 324:321–329. https://doi.org/10.1016/j.neuroscience.2016.02.074 pmid:26968763
    OpenUrlCrossRefPubMed
  167. ↵
    1. Xu Q,
    2. Tam M,
    3. Anderson SA
    (2008) Fate mapping Nkx2.1-lineage cells in the mouse telencephalon. J Comp Neurol 506:16–29. https://doi.org/10.1002/cne.21529
    OpenUrlCrossRefPubMed
  168. ↵
    1. Yang J,
    2. Yang X,
    3. Tang K
    (2021) Interneuron development and dysfunction. FEBS J 289:2318–2336. https://doi.org/10.1111/febs.15872
    OpenUrl
  169. ↵
    1. Zachry JE,
    2. Nolan SO,
    3. Brady LJ,
    4. Kelly SJ,
    5. Siciliano CA,
    6. Calipari ES
    (2021) Sex differences in dopamine release regulation in the striatum. Neuropsychopharmacology 46:491–499. https://doi.org/10.1038/s41386-020-00915-1 pmid:33318634
    OpenUrlCrossRefPubMed
  170. ↵
    1. Zhou R,
    2. Wang S,
    3. Zhu X
    (2012) Prenatal ethanol exposure alters synaptic plasticity in the dorsolateral striatum of rat offspring via changing the reactivity of dopamine receptor. PLoS One 7:e42443. https://doi.org/10.1371/journal.pone.0042443 pmid:22916128
    OpenUrlCrossRefPubMed

Synthesis

Reviewing Editor: Tod E Kippin, University of California Santa Barbara

Decisions are customarily a result of the Reviewing Editor and the peer reviewers coming together and discussing their recommendations until a consensus is reached. When revisions are invited, a fact-based synthesis statement explaining their decision and outlining what is needed to prepare a revision will be listed below. The following reviewer(s) agreed to reveal their identity: NONE.

I have received two independent reviews of your manuscript both reviewers felt the study was interesting and generally well-conducted. The reviewers did have a few concerns which need to be addressed before a final decision can be reached on suitability of the manuscript for publication. I am, accordingly, recommending that you revise your manuscript.

Reviewer #1

The present manuscript tests the hypothesis that exposure to alcohol during gestation (~E15) in a mouse model will disrupt the intrinsic excitability and firing of striatal neurons leading to disruption of development of several motor behaviors expressed shortly after birth. The strength of the manuscript is that the authors examine the impact of alcohol exposure from neuronal activity and structure of two populations of striatal cells to the impact on motor behaviors that are thought to be reliant on these striatal circuits. The authors also investigate sex-dependent effects of alcohol in the model which is a major strength. Overall, the study is conducted well and the methods and results are clear. I only have a couple suggestions. First, given the large number of behaviors assessed, it would be nice to have a summary of the behavior effects somewhere in the text. This was done in later sections of the results when discussing firing characteristics. A similar summary could be provided for the behavior tests. Second, the discussion does a great job relating sex differences in motor behaviors to underlying changes in the function of striatal neurons. However, many studies have reported sex differences after developmental alcohol exposure, but few speculate as to why this might be the case. Is there a sex difference in how these striatal neurons and motor behaviors might be maturing that could underlie the observation here? It would be nice to see some speculation on this issue.

Reviewer #2

The manuscript describes outcomes of a 4 day exposure to alcohol on motor behavior in first 2 postnatal weeks, electrophysiology of striatum then analysis of dendritic morphology. The strength of the paper is the electrophysiology and morphology across this early developmental time window. The effects on behavior are not compelling and therefore neither are the comparisons of electrophysiology and behavior. How meaningful is it if there's a small effect on behavior on one day that is normal two days later and on all other days of testing? If the alcohol expousure is given in the 1st trimester, as stated by the authors, then changes seen early postnatally must be 2nd or 3rd trimester and with no behavioral effects at P14 the relevance is less. The discussion is long and might be improved by focusing on electrophysiology and morphology rather than on comparing these with behavor.

Is the electrophysiology done on the animals tested for behavior? If so, maybe direct comparisons could be made between outcomes for each animal. If not, then the comparison is brain outcomes in one animal with behavior in a different animal and this is not compelling.

If the electrophysiology underlies the behavior changes, how do the authors reconcile effects on electrophysiology and morphology at ages where there are no behavior changes?

There are "4-19 animals per group" but it is not clear what group sizes are for each outcome. Also clarify actual ages - there are 3 day windows for some behaviors and it's possible that what look like group differences are actually age differences, or at least that the age span influences outcome.

Results line 261 - "While no significant between group differences were identified at a single postnatal day in scoring of quadruped walking behavior, the most distinct between group differences were observed at P14... with fewer ethanol-exposed male mice demonstrating running behavior" - if this is based on number of males demonstrating running behavior those numbers or percents should be reported.

Line 301 "These data suggest that prenatal ethanol exposure can result in both improved performance (P4) and in deficits (P6) in surface righting behavior in female mice depending on the postnatal day." - because mice were chosen "randomly" for testing, the effects could also just be due to sampling variability.

Trends are reported in the Results section - it should be defined what is a trend.

Since Wald scores and ANOVA F values are reported in tables, they don't need to also be in the Results text -just reporting the p value in the text would make it easier to read.

In panel 3b DAPI is hard to see.

Include mouse background strain in abstract and methods.

Author Response

Dr. Todd Kippin Reviewing Editor, eNeuro February 10, 2025 Dear Dr. Kippin We thank you and reviewers for the positive initial review of our manuscript titled: "Prenatal ethanol exposure results in cell-type, age, and sex-dependent differences in the neonatal striatum that coincide with early motor deficits," and the chance to submit a manuscript with revisions addressing the reviewer's comments (eN-NWR-0448-24).

We have carefully addressed each reviewer's comments point by point below, and made changes to the manuscript where indicated. We appreciate their thoughtful comments and believe the changes we have made have strengthened the findings we now present in our revised manuscript. Updates to the original manuscript are indicated by text highlighted blue.

Reviewer #1 Comment: Given the large number of behaviors assessed, it would be nice to have a summary of the behavior effects somewhere in the text. This was done in later sections of the results when discussing firing characteristics. A similar summary could be provided for the behavior tests.

Response: We thank the reviewer for this comment and have added a paragraph summarizing behavior effects in the Results section. (Results- Brief binge-type exposure to ethanol delays the development of motor behaviors in a sex-dependent manner). The summarized results of behavioral assays are also presented in a new summary figure described below (Figure 8).

Comment: The discussion does a great job relating sex differences in motor behaviors to underlying changes in the function of striatal neurons. However, many studies have reported sex differences after developmental alcohol exposure, but few speculate as to why this might be the case. Is there a sex difference in how these striatal neurons and motor behaviors might be maturing that could underlie the observation here? It would be nice to see some speculation on this issue.

Response: We thank the reviewer for this thoughtful observation, we now comment on multiple potential sources of the observed sex differences in the effects of prenatal ethanol exposure on the maturation of striatal medium spiny projection neurons to the discussion (Discussion- Binge-type prenatal ethanol exposure results in sex-dependent differences in the development of early motor behaviors and the function of striatal neurons).

Reviewer #2 Comment: How meaningful is it if there's a small effect on behavior on one day that is normal two days later and on all other days of testing? If the alcohol exposure is given in the 1st trimester, as stated by the authors, then changes seen early postnatally must be 2nd or 3rd trimester and with no behavioral effects at P14 the relevance is less. Line 301 "These data suggest that prenatal ethanol exposure can result in both improved performance (P4) and in deficits (P6) in surface righting behavior in female mice depending on the postnatal day." - because mice were chosen "randomly" for testing, the effects could also just be due to sampling variability.

Response: We thank the reviewer for these comments. Comparisons between human/rodent pre- and post-natal age are imperfect and based upon structural phenotypes rather than functional or behavioral development. The behavioral tasks presented here were chosen to attempt to approximate the gross and fine motor developmental milestones assessed in human infants and toddlers during the first six years of life. Given the rapid development of rodents relative to humans, we would hypothesize that developmental motor delays that play out over the course of weeks to months in human infants and toddlers could resolve over a series of days in mice. We posit that if presented with more complicated behavioral tasks at older postnatal ages, mice would likely continue to demonstrate differences in motor behavior at or after the last postnatal age we assessed (P14), as previously demonstrated by others using differing ethanol exposure paradigms. We would also argue that the subtle variability in behavioral phenotypes we observed is consistent with the variability in the presentation of fine and gross motor behavioral differences that has been observed in children affected by prenatal ethanol exposure. Future work should address the characteristics that are associated with specific vulnerability to the behavioral effects of prenatal ethanol exposure relative to littermates. Discussion of potential sources of variability in behavioral phenotype is now included (Discussion- Binge-type prenatal ethanol exposure results in sex-dependent differences in the development of early motor behaviors and the function of striatal neurons) and we have removed statements associating the timing of our prenatal ethanol exposure to a human gestational age.

Comment: The discussion is long and might be improved by focusing on electrophysiology and morphology rather than on comparing these with behavior.

Response: We have acknowledged potential limitations to our model system, softened the language and significantly limited discussion of the association between behavioral differences and altered electrophysiology and morphology in the Discussion section (Discussion- Binge-type prenatal ethanol exposure results in sex-dependent differences in the development of early motor behaviors and the function of striatal neurons). To balance Reviewer #2's concerns with Reviewer #1 positive review of the descriptions of the temporal association between behavioral, morphological and functional phenotypes, we now include a summary figure replacing the bulk of the text discussing this topic in the discussion section (Figure 8).

Comment: Is the electrophysiology done on the animals tested for behavior? If so, maybe direct comparisons could be made between outcomes for each animal. If not, then the comparison is brain outcomes in one animal with behavior in a different animal and this is not compelling.

Response: Electrophysiology was only completed on animals tested for behavior, additional animals were included in behavioral analysis but not all were included for electrophysiology given technical limitations. We agree that comparisons made between the results of behavioral testing for individual mice and the functional phenotypes would strengthen our supposition that the altered functional development of striatal neurons to differences in motor development we observed. However given the variability in both the functional and behavioral phenotypes we measured between individual animals, we do not have adequate sample sizes to achieve statistical power in order to complete this analysis. We have acknowledged that further work will be required to confirm the association between altered development of striatal GINs and differences in motor development in the discussion section (Discussion- Binge-type prenatal ethanol exposure results in sex-dependent differences in the development of early motor behaviors and the function of striatal neurons).

Comment: If the electrophysiology underlies the behavior changes, how do the authors reconcile effects on electrophysiology and morphology at ages where there are no behavior changes? Response: We thank the reviewer for this comment. At different developmental ages and with different exposure paradigms, prenatal ethanol exposure has been shown to result in the altered function of cortical projection neurons in the frontal, sensory and motor cortices as well as the thalamus. We now include discussion of the possibility that early altered development of striatal neurons may contribute to later dysfunction in cortico-basal ganglia- thalamic circuit that may contribute to differences in motor development that are preceded by but do not coincide with differences in the function of striatal neurons (Discussion- Binge-type prenatal ethanol exposure results in sex-dependent differences in the development of early motor behaviors and the function of striatal neurons).

Comment: There are "4-19 animals per group" but it is not clear what group sizes are for each outcome. Also clarify actual ages - there are 3 day windows for some behaviors and it's possible that what look like group differences are actually age differences, or at least that the age span influences outcome.

Response: We now include Table 1-2 demonstrating group sizes for each behavioral outcome. Analysis of behavioral differences by postnatal age are completed by postnatal day (control P2 vs. ethanol P2), while electrophysiological analysis was grouped (P2, P4-6, P8-10, P14). We now acknowledge in the discussion section that combining groups may mask or enhance differences related to normal functional, synaptic and morphological development with age. (Discussion- Binge-type prenatal ethanol exposure results in sex-dependent differences in the development of early motor behaviors and the function of striatal neurons).

Comment: Results line 261 - "While no significant between group differences were identified at a single postnatal day in scoring of quadruped walking behavior, the most distinct between group differences were observed at P14... with fewer ethanol-exposed male mice demonstrating running behavior" - if this is based on number of males demonstrating running behavior those numbers or percents should be reported.

Response: This was indeed based upon the number of males demonstrating running behavior. Percentages have been added (Results- A brief binge-type exposure to ethanol delays the development of motor behaviors in a sex-dependent manner).

Comment: Trends are reported in the Results section - it should be defined what is a trend.

Response: Trends were reported where p <0.070, we have now noted this in the methods section (Methods- Statistical Analysis). Where p>0.070 discussion of trends was removed from the results section (Results- Prenatal ethanol exposure differentially alters the maturation of active and passive properties of striatal neurons in male and female mice, Striatal GINs: Intrinsic electrical properties).

Comment: Since Wald scores and ANOVA F values are reported in tables, they don't need to also be in the Results text -just reporting the p value in the text would make it easier to read.

Response: We thank reviewer and have removed Wald scores and ANOVA F values represented in Tables 1-3, 2, 3, 4 and 5 from the text.

Comment: In panel 3b DAPI is hard to see.

Response: We thank the reviewer for this comment, the intensity has been adjusted to improve the contrast. We provide an updated figure (Figure 2b).

Comment: Include mouse background strain in abstract and methods.

Response: The mouse background strain is now included in the abstract and methods.

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Prenatal Ethanol Exposure Results in Cell Type, Age, and Sex-Dependent Differences in the Neonatal Striatum That Coincide with Early Motor Deficits
Adelaide R. Tousley, Ilana Deykin, Betul Koc, Pamela W. L. Yeh, Hermes H. Yeh
eNeuro 14 March 2025, 12 (3) ENEURO.0448-24.2025; DOI: 10.1523/ENEURO.0448-24.2025

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Prenatal Ethanol Exposure Results in Cell Type, Age, and Sex-Dependent Differences in the Neonatal Striatum That Coincide with Early Motor Deficits
Adelaide R. Tousley, Ilana Deykin, Betul Koc, Pamela W. L. Yeh, Hermes H. Yeh
eNeuro 14 March 2025, 12 (3) ENEURO.0448-24.2025; DOI: 10.1523/ENEURO.0448-24.2025
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  • alcohol
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