Research ArticleResearch Article: New Research, Disorders of the Nervous System

Parvalbumin Interneuron Dysfunction in a Thalamo-Prefrontal Cortical Circuit in Disc1 Locus Impairment Mice

Kristen Delevich, Hanna Jaaro-Peled, Mario Penzo, Akira Sawa and Bo Li
eNeuro 6 February 2020, 7 (2) ENEURO.0496-19.2020; https://doi.org/10.1523/ENEURO.0496-19.2020

Abstract

Altered cortical excitation-inhibition (E-I) balance resulting from abnormal parvalbumin interneuron (PV IN) function is a proposed pathophysiological mechanism of schizophrenia and other major psychiatric disorders. Preclinical studies have indicated that disrupted-in-schizophrenia-1 (Disc1) is a useful molecular lead to address the biology of prefrontal cortex (PFC)-dependent cognition and PV IN function. To date, PFC inhibitory circuit function has not been investigated in depth in Disc1 locus impairment (LI) mouse models. Therefore, we used a Disc1 LI mouse model to investigate E-I balance in medial PFC (mPFC) circuits. We found that inhibition onto layer 2/3 excitatory pyramidal neurons in the mPFC was significantly reduced in Disc1 LI mice. This reduced inhibition was accompanied by decreased GABA release from local PV, but not somatostatin (SOM) INs, and by impaired feedforward inhibition (FFI) in the mediodorsal thalamus (MD) to mPFC circuit. Our mechanistic findings of abnormal PV IN function in a Disc1 LI model provide insight into biology that may be relevant to neuropsychiatric disorders including schizophrenia.

Significance Statement

A popular theory suggests that dysregulation of fast-spiking parvalbumin interneurons (PV INs) and elevated excitation-inhibition (E-I) balance contribute to the pathophysiology of various psychiatric disorders. Previous studies suggest that genetic perturbations of the disrupted-in-schizophrenia-1 (Disc1) gene affect prefrontal cortex (PFC)-dependent cognition and PV IN function, but synaptic and circuit physiology data are lacking. Here, we provide evidence that the presynaptic function of PV INs in the medial PFC (mPFC) is altered in Disc1 LI mice and that E-I balance is elevated within a thalamofrontal circuit known to be important for cognition. These findings may contribute to our understanding of the biology that gives rise to cognitive symptoms in a range of neuropsychiatric disorders.

Introduction

Parvalbumin interneurons (PV INs) provide powerful somatic inhibition to excitatory pyramidal neurons and regulate excitation-inhibition (E-I) balance (Isaacson and Scanziani, 2011). Prefrontal PV INs are implicated in working memory (WM) function (Cardin et al., 2009; Fries, 2009; Sohal et al., 2009; Murray et al., 2015; Ferguson and Gao, 2018b) and have emerged from human postmortem studies as a key node of interest in the pathophysiology of schizophrenia (Beasley and Reynolds, 1997; Hashimoto et al., 2003; Lewis et al., 2012). Therefore, dysregulation of E-I balance via altered PV IN function is a potential pathophysiological mechanism of particular relevance to cognitive symptoms of neuropsychiatric diseases, including schizophrenia. Cognitive impairment is seen in first-degree relatives of individuals with a range of major mental illnesses (Cannon et al., 2000; Myles-Worsley and Park, 2002; Snitz et al., 2006), suggesting that these processes are partly heritable and may be better understood through investigation of promising genetic and molecular leads.

A translocation in the gene disrupted-in-schizophrenia-1 (Disc1) was first reported in a Scottish pedigree as a rare but penetrant genetic risk factor that may account for a wide range of major mental illnesses such as depression and schizophrenia (Millar et al., 2000). This suggests that biological pathway(s) involving the multifunctional hub protein DISC1 contribute to cognitive and behavioral dimensions that are disrupted in neuropsychiatric illnesses (Niwa et al., 2016). While DISC1 is not a common genetic variant associated with schizophrenia in large population samples (Schizophrenia Working Group of the Psychiatric Genomics C, 2014), it can serve as a molecular lead to study the biology underlying important constructs/dimensions that are relevant to major mental illness (Niwa et al., 2016). Work in mouse models has revealed the importance of DISC1 in neurodevelopment (Kamiya et al., 2005; Ishizuka et al., 2007, 2011; Mao et al., 2009; Niwa et al., 2010), synaptic function (Hayashi-Takagi et al., 2010; Wang et al., 2011; Maher and LoTurco, 2012; Sauer et al., 2015; Seshadri et al., 2015; Wei et al., 2015), and cognitive processing (Brandon and Sawa, 2011). WM impairments are consistently reported across Disc1 mouse models (Koike et al., 2006; Clapcote et al., 2007; Li et al., 2007; Kvajo et al., 2008; Lipina et al., 2010; Niwa et al., 2010; Brandon and Sawa, 2011; Lee et al., 2013). Furthermore, a variety of Disc1 mouse models exhibit reduced prefrontal PV expression (Hikida et al., 2007; Shen et al., 2008; Ibi et al., 2010; Niwa et al., 2010; Ayhan et al., 2011; Lee et al., 2013). While these data are suggestive that PV INs may be particularly affected by Disc1 perturbation, evidence from synaptic and circuitry physiology is lacking.

Here, we investigated the synaptic and circuit level function of PV INs within medial prefrontal cortex (mPFC) circuits of mice heterozygous for the Disc1 locus impairment (LI) allele, in which the majority of Disc1 isoforms are abolished (Seshadri et al., 2015; Shahani et al., 2015). We found that Disc1 LI was associated with elevated E-I balance and altered PV IN function in mPFC circuits relevant to cognition.

Materials and Methods

Animals

Mice were group housed under a 12/12 h light/dark cycle (9 A.M. to 9 P.M. light), with food and water freely available. Both male and female mice were used. All procedures involving animals were approved by the Institutional Animal Care and Use Committee of Cold Spring Harbor Laboratory and conducted in accordance with the National Institutes of Health guidelines. The PV-Cre (http://jaxmice.jax.org/strain/008069.html), SOM-Cre (http://jaxmice.jax.org/strain/013044.html), and Ai14 (https://www.jax.org/strain/007914) mice were described previously (Hippenmeyer et al., 2005; Madisen et al., 2010; Taniguchi et al., 2011). We previously generated the Disc1 LI mice, which harbor a deletion (6.9 kb) encompassing the first three exons of the Disc1 gene (Seshadri et al., 2015). The majority of DISC1 isoforms are abolished in mice homozygous for the Disc1 LI allele (Seshadri et al., 2015), and in the current study we used mice that harbored one Disc1 LI allele (+/−). All mice were bred onto C57BL/6 background for at least five generations.

Viral vectors

Adeno-associated virus (AAV) vectors AAV-CAG-ChR2(H134R)-YFP and AAV-eF1a-DIO-ChR2(H134R)-YFP were produced as AAV2/9 serotype by the University of North Carolina Vector Core and have been previously described (Zhang et al., 2007; Delevich et al., 2015). All viral vectors were stored in aliquots at −80°C until use.

Stereotaxic surgery

Mice aged postnatal day (P)40–56 were used for all surgeries. Unilateral viral injections were performed using previously described procedures (Li et al., 2013) at the following stereotaxic coordinates: MD: –1.58 mm from bregma, 0.44 mm lateral from midline, and 3.20 mm ventral from cortical surface; dorsal mPFC: 1.94 mm from bregma, 0.34 mm lateral from midline, and 0.70 mm ventral from cortical surface. Surgical procedures were standardized to minimize the variability of AAV injections. To ensure minimal leak into surrounding brain areas, injection pipettes remained in the brain for ∼5 min after injection before being slowly withdrawn. The final volume for AAV-CAG-ChR2(H134R)-YFP injected into MD was 0.3–0.35 μl, and for AAV-eF1a-DIO-ChR2(H134R)-YFP injected into dorsal mPFC was 0.5 μl. The titer for the viruses was ∼1012 viral particles/ml. For experiments in which mPFC inhibitory INs were optogenetically stimulated (Fig. 2) mice were injected at P56 and approximately two weeks were allowed for viral expression before recording. For experiments in which MD axons within mPFC were optogenetically stimulated (Figs. 3, 5) mice were injected at P40–45 and approximately four weeks were allowed for viral expression before recording. For each of these experiments, littermates were injected and recorded at the same age to control for expression duration between genotypes.

Electrophysiology

Mice were anaesthetized with isoflurane and decapitated, whereupon brains were quickly removed and immersed in ice-cold dissection buffer (110.0 mM choline chloride, 25.0 mM NaHCO3, 1.25 mM NaH2 PO4, 2.5 mM KCl, 0.5 mM CaCl2, 7.0 mM MgCl2, 25.0 mM glucose, 11.6 mM ascorbic acid, and 3.1 mM pyruvic acid, gassed with 95% O2 and 5% CO2). Coronal slices (300 μm in thickness) containing mPFC were cut in dissection buffer using a HM650 Vibrating Microtome (Thermo Fisher Scientific), and were subsequently transferred to a chamber containing artificial CSF (ACSF; 118 mM NaCl, 2.5 mM KCl, 26.2 mM NaHCO3, 1 mM NaH2 PO4, 20 mM glucose, 2 mM MgCl2, and 2 mM CaCl2, at 34°C, pH 7.4, gassed with 95% O2 and 5% CO2). After ∼30 min of recovery time, slices were transferred to room temperature and were constantly perfused with ACSF.

The internal solution for voltage-clamp experiments contained 140 mM potassium gluconate, 10 mM HEPES, 2 mM MgCl2, 0.05 mM CaCl2, 4 mM MgATP, 0.4 mM Na3GTP, 10 mM Na2-phosphocreatine, 10 mM BAPTA, and 6 mM QX-314 (pH 7.25, 290 mOsm). Electrophysiological data were acquired using pCLAMP 10 software (Molecular Devices). Miniature IPSCs (mIPSCs) were recorded in the presence of tetrodotoxin (1 μM), APV (100 μM), and CNQX (5 μM). Miniature EPSCs (mEPSCs) were recorded in the presence of tetrodotoxin (1 μM) and picrotoxin (100 μM). Data were analyzed using Mini Analysis Program (Synaptosoft). For the mIPSCs and mEPSCs, we analyzed the first 300 and 250 events, respectively, for each neuron. The parameters for detecting mini events were kept consistent across neurons, and data were quantified blind to genotype.

To evoke synaptic transmission by activating channelrhodopsin-2 (ChR2), we used a single-wavelength LED system (λ = 470 nm; CoolLED) connected to the epifluorescence port of the Olympus BX51 microscope. To restrict the size of the light beam for focal stimulation, a built-in shutter along the light path in the BX51 microscope was used. Light pulses of 0.5–1 ms triggered by a transistor-transistor logic (TTL) signal from the Clampex software (Molecular Devices) were used to evoke synaptic transmission. The light intensity at the sample was ∼0.8 mW/mm2. Electrophysiological data were acquired and analyzed using pCLAMP 10 software (Molecular Devices). IPSCs were recorded at 0 mV holding potential in the presence of 5 μM CNQX and 100 μM AP-5. Light pulses were delivered once every 10 s, and a minimum of 30 trials were collected. In paired-pulse recordings, 2 light pulses separated by 50, 100, or 150 ms were delivered. In cases that the first IPSC did not fully decay to baseline before the onset of the second IPSC, the baseline of the second IPSC was corrected before the peak was measured. To measure the kinetics of the IPSCs, averaged sweeps collected at the 150-ms interval were normalized, and the decay time constant and half-width were measured using automated procedures in the AxoGraph X 1.5.4 software.

To determine IPSC reversal potential (EIPSC), IPSCs were recorded at varying holding potentials (20-mV steps) in the presence of CNQX (5 μM) and AP-5 (100 μM) to block AMPA receptors and NMDA receptors, respectively. IPSC amplitude was measured, and a linear regression was used to calculate the best-fit line, and the x-intercept was used as the EIPSC. Under our recording conditions, the EIPSC was ∼–60 mV. Therefore, in the excitation/inhibition ratio (E/I) experiments, we recorded EPSCs at –60 mV and IPSCs at 0 mV holding potential. The only drug used for the E/I experiments was AP-5 (100 μM). In these experiments we used the same light intensity for evoking both IPSCs and EPSCs. In addition, we used similar stimulation regime for WT and Disc1 LI mice, such that the peak amplitudes of IPSCs were comparable between genotypes.

For the experiments in which we optogenetically stimulated the MD axons in the mPFC, mice were excluded if the extent of infection in the MD was too large and leaked into surrounding brain regions. Rodent MD lacks INs; therefore all ChR2-infected neurons are expected to be relay projection neurons (Kuroda et al., 1998).

The latency and 10–90% rise time of EPSCs and IPSCs were calculated from either the averaged trace or individual sweeps for each cell using automated procedures in the AxoGraph X 1.5.4 software. ESPC and IPSC onset latency was calculated as the time from stimulation onset to 10% rise time, with EPSC-IPSC lag calculated as the difference. The 10% rise time has been reported to be a more reliable measure of delay to onset, as it minimizes the contribution of EPSC and IPSC rise time differences that are reflected in the time to peak (Mittmann et al., 2005). Some of the control data from WT mice used for comparing with Disc1 LI mice (appearing in Figs. 3, 4) were previously reported in Delevich et al., 2015, (Figs. 1, 2, and 4).

Figure 1.
Figure 1.

Reduced inhibitory synaptic transmission onto L2/3 pyramidal neurons in the mPFC of adult and juvenile Disc1 LI mice. A, Recording configuration and sample mIPSC traces recorded from L2/3 PNs in the mPFC of WT (upper) and Disc1 LI (lower) mice at ∼P70. B, mIPSC amplitude (WT, n = 27 cells; Disc1 LI, n = 29 cells). C, mIPSC frequency (WT, n = 27 cells; Disc1 LI, n = 29 cells; **p < 0.01, Mann–Whitney U test). D, Recording configuration and sample mEPSC traces recorded from L2/3 PNs in the mPFC of WT (upper) and Disc1 LI (lower) mice at ∼P70. E, mEPSC amplitude (WT, n = 23 cells; Disc1 LI, n = 20 cells). F, mEPSC frequency (WT, n = 23 cells; Disc1 LI, n = 20 cells). G, Recording configuration and sample mIPSC traces recorded from L2/3 PNs in the mPFC of WT (upper) and Disc1 LI (lower) mice at ∼P15. mIPSC (H) amplitude (WT, n = 44 cells; Disc1 LI, n = 26 cells; p = 0.12, t test) and (I) frequency (WT, n = 44 cells; Disc1 LI, n = 26 cells; *p < 0.05, Mann–Whitney U test). All scale bars represent 20 pA, 500 ms. Bar graphs indicate median ± interquartile range (B, C, F, I) or mean ± SEM (E, H), as appropriate.

Figure 2.
Figure 2.

Altered presynaptic function of PV but not SOM INs in the mPFC of Disc1 LI mice. A, Schematic of the experimental configuration. B, Sample traces of PV IN-mediated IPSCs recorded from WT (left panel) or Disc1 LI (right panel) mice. Paired light pulses (1-ms duration; blue bars) were delivered at an interval of 50 ms (top), 100 ms (middle), or 150 ms (bottom). C, Quantification of PPR for each genotype (WT, n = 13 cells; Disc1 LI, n = 10 cells); *p < 0.05, ***p < 0.001, two-way RM ANOVA followed by Sidak’s test. D, Schematic of the experimental configuration. E, Sample traces of SOM IN-mediated IPSCs recorded from WT (left panel) or Disc1 LI (right panel) mice. Paired light pulses (1-ms duration; blue bars) were delivered at an interval of 50 ms (top), 100 ms (middle), or 150 ms (bottom). F, Quantification of PPR for each genotype (WT, n = 15 cells, Disc1 LI, n = 12 cells). G, Sample IPSC traces evoked by optogenetic stimulation of PV or SOM INs. Colored lines indicate exponential fits to the decays of the IPSCs. H, Quantification of IPSC decay tau; ****p < 0.0001, t test. Data in C, F, H are presented as mean ± SEM.

Figure 3.
Figure 3.

Reduced FFI in the MD–mPFC circuit in Disc1 LI mice. A, B, Schematics of the experimental configuration. The right panel of A is an image of a brain section from a mouse used in electrophysiological recording, showing MD infected with AAV-CAG-ChR2-YFP. C, Representative traces of evoked EPSC (recorded at –60 mV) and IPSC (recorded at 0 mV) from L3 PNs. D, To estimate the relative recruitment of disynaptic FFI versus monosynaptic excitation, we divided peak IPSC (Ipeak) by the sum of peak IPSC and peak EPSC (Ipeak + Epeak). WT, N = 14 mice, Disc1 LI, N = 11 mice; ***p < 0.001, t test. E, Same as in D, except that the cumulative probability distributions of the values for individual neurons are shown. WT, n = 40 cells, Disc1 LI, n = 30 cells; **p < 0.01, Kolmogorov–Smirnov test. F, Scatter plot showing the peak amplitudes of IPSC and EPSC for individual neurons. Each circle represents one neuron (WT, n = 30 cells; Disc1 LI, n = 40 cells). Dashed lines are linear regression lines for neurons in WT mice and Disc1 LI mice. The slopes of the regression lines significantly differed at the 0.95 confidence level (*p < 0.05). G, Sample traces of IPSC (recorded at 0 mV) and EPSC (recorded at –60 mV) recorded from L2/3 PNs in response to light-stimulation (blue bars) of MD axons. The latency to onset was measured from the time the light stimulus was triggered to the 10% EPSC (blue arrow) or IPSC (red arrow) rise time. Note that IPSC rise time was calculated from the peak of the inward current recorded at 0 mV. H, Cumulative probability distributions for EPSC latency to onset (left) and IPSC latency to onset (right; EPSC, WT, n = 40 cells, Disc1 LI, n = 30 cells, p = 0.40; IPSC, WT, n = 40 cells, Disc1 LI, n = 30 cells, p = 0.56; Kolmogorov–Smirnov test). I, Quantification of IPSC–EPSC lag, calculated as the difference in the latency to onset between the IPSC and the EPSC of each neuron (see also G; WT, n = 40 cells, Disc1 LI, n = 30 cells; p > 0.05, t test). J, Quantification of the 10–90% EPSC rise time and decay tau (K; WT, n = 40 cells, Disc1 LI, n = 30 cells; p > 0.05, Mann–Whitney U test). L, Quantification of the 10–90% IPSC rise time and decay tau (M; WT, n = 40 cells, Disc1 LI, n = 28 cells; p > 0.05, t test). Data are presented as median ± interquartile range (J, K) or mean ± SEM (D, L, M).

Figure 4.
Figure 4.

mEPSCs and intrinsic properties of PV INs are not altered in Disc1 LI mice. A, Recording configuration and sample mEPSC traces recorded from PV INs in WT (upper) and Disc1 LI mice (lower). B, Mean mEPSC amplitude (left) and median frequency (right; n = 20, 23 cells/genotype; N = 4 mice/genotype). C, Sample traces from whole-cell current clamp recording of L2/3 PV IN in WT (left) and Disc1 LI mouse in response to current injections. D, Input-output curve showing average firing rate of PV INs in response to current injection in WT versus Disc1 LI. E, Resting membrane potential. F, Input resistance. G, Current threshold required to elicit spiking. H, Maximum firing rate. Data in D, E, H shown as mean ± SEM. Data in F, G shown as median ± interquartile range.

Data analysis and statistics

All statistical tests were performed using Origin 9.0 (Origin-Lab) or GraphPad Prism 6.0 (GraphPad Software) software. All data were tested for normality using the D’Agostino–Pearson omnibus normality test to guide the selection of parametric or non-parametric statistical tests. Data are presented as mean ± SEM or median ± interquartile range as indicated. For parametric data, a two-tailed t test or two-way ANOVA was used, with a post hoc Sidak’s test for multiple comparisons. For non-parametric data, a two-tailed Mann–Whitney U test was used; p < 0.05 was considered significant. A summary of the statistical analyses performed can be found in Table 1.

View this table:
Table 1

Statistical tests and significance threshold used for each comparison

Results

Inhibitory synaptic transmission is reduced in adult Disc1 LI mice

As a first estimation of inhibitory drive in the mPFC, we recorded mIPSCs onto L2/3 PNs in the dorsal anterior cingulate cortex (dACC) subregion of the mPFC in adult mice (P70). We found that compared with wild-type (WT) littermates, Disc1 LI mice had significantly reduced mIPSC frequency (WT, 3.75 ± 3.25 Hz, n = 27 cells, N = 6; Disc1 LI, 2.27 ± 2.72 Hz, n = 29 cells, N = 5; U = 217.0, ap < 0.01, Mann–Whitney U test), but not amplitude (WT, 12.5 ± 2.48 pA, n = 29 cells, N = 6; Disc1 LI, 12.52 ± 1.51 pA, n = 27 cells, N = 5; U = 351.0, bp = 0.51, Mann–Whitney U test; Fig. 1A–C). The two groups did not differ in measures of mEPSCs (frequency: WT, 3.47 ± 1.97 Hz, n = 23 cells, N = 4; Disc1 LI, 2.79 ± 2.4 Hz, n = 20 cells, N = 5; U = 173.0, cp = 0.17, Mann–Whitney U test; amplitude: WT, 8.91 ± 0.18 pA; Disc1 LI, 8.99 ± 0.37 pA, t(41) = 0.18, dp = 0.86, t test; Fig. 1D–F). Notably, we found that the frequency (but not amplitude) of mIPSCs recorded from dACC L2/3 PNs in Disc1 LI mice was lower compared to their WT littermates at preweanling (∼P15) age (amplitude: WT, n = 44 cells; Disc1 LI, n = 26 cells; ep = 0.12, t test; frequency: WT, n = 44 cells; Disc1 LI, n = 26 cells; fp < 0.05, Mann–Whitney U test; Fig. 1G–I). These data indicate that the inhibitory synaptic transmission is selectively impaired in the mPFC of Disc1 LI mice, and that this impairment manifests early in postnatal development.

Altered presynaptic function of PV INs in Disc1 LI mice

A reduction in mIPSC frequency could result from a decrease in synaptic transmission from one or more inhibitory IN populations. To investigate the source of reduced inhibitory drive onto L2/3 PNs in the mPFC of Disc1 LI mice, we sought to examine the IPSCs originating from either PV or somatostatin (SOM) INs. To this end, we selectively expressed ChR2, the light-gated cation channel (Zhang et al., 2006), in PV or SOM INs by injecting the mPFC of Disc1 LI; PV-Cre or Disc1 LI; SOM-Cre mice, as well as their WT littermates, with an AAV expressing ChR2 in a Cre-dependent manner (AAV-DIO-ChR2(H134R)-YFP). After viral expression had reached sufficient levels, we prepared acute brain slices and recorded light-evoked IPSCs onto L2/3 PNs in mPFC (Fig. 2A,D). We delivered paired light pulses (pulse duration 1 ms) with an interpulse interval of 50, 100, or 150 ms, and measured the ratio of the peak amplitude of the second IPSC over that of the first (IPSC2/IPSC1), also known as paired-pulse ratio (PPR; Fig. 2B,E). A similar technique was previously used to interrogate presynaptic GABA release from PV INs (Chu et al., 2012).

We found that the PPR of GABAergic transmission between PV INs and L2/3 PNs was significantly increased in the Disc1 LI mice compared to their WT littermates at the 50- and 100-ms interpulse intervals (WT, n = 13 cells; Disc1 LI, n = 10 cells; interval: F(2,42) = 6.77, gp < 0.01; genotype: F(1,21) = 10.77, p < 0.01; interaction: F(2,42) = 3.92, p < 0.05; two-way repeated-measures (RM) ANOVA followed by Sidak’s tests; Fig. 2C), suggesting that GABA release from PV INs is impaired. In contrast, the PPR of GABAergic synaptic transmission from SOM INs to L2/3 PNs did not differ between genotypes (WT, n = 15 cells, Disc1 LI, n = 12 cells; interval: F(2,50) = 24.88, hp < 0.0001; genotype: F(1,25) = 1.64, p = 0.21; interaction F(2,50) = 0.47, p = 0.63, two-way RM ANOVA; Fig. 2F). SOM-evoked IPSCs displayed significantly slower decay kinetics than PV-evoked IPSCs (Fig. 2G,H), consistent with previous reports (Koyanagi et al., 2010; Ma et al., 2012). No differences in IPSC kinetics were observed between Disc1 LI mice and their WT littermates (cell type: F(1,46) = 90.82, ip < 0.0001; genotype: F(1,46) = 0.678, p = 0.41; two-way ANOVA; Fig. 2G,H). In light of the observed reduction in mIPSC frequency, the increased PPR of PV-mediated IPSCs suggests that there is a presynaptic deficit in GABA release from PV cells to L2/3 PNs in the mPFC of Disc1 LI mice.

Reduced feedforward inhibition (FFI) in a thalamus–mPFC circuit in Disc1 LI mice

The mediodorsal nucleus of the thalamus (MD) sends major projections to the mPFC. This MD–mPFC circuit has been implicated in cognitive processes such as WM (Parnaudeau et al., 2013, 2018; Bolkan et al., 2017; Ferguson and Gao, 2018b) and cognitive flexibility (Parnaudeau et al., 2015; Rikhye et al., 2018) that are impaired in schizophrenia (Lesh et al., 2011; Parnaudeau et al., 2013, 2015). We and others have shown that excitatory inputs from the MD drive mPFC FFI (Miller et al., 2017; Collins et al., 2018; Meda et al., 2019) that is primarily mediated by mPFC PV INs (Delevich et al., 2015). Given the deficit in GABA release from PV INs to PNs in the mPFC of Disc1 LI mice (Fig. 2), we reasoned that FFI in the MD–mPFC circuit may be affected in these mice. To test this hypothesis, we injected the MD of Disc1 LI mice and their WT littermates with AAV-ChR2(H134R)-YFP. After viral expression reached sufficient levels, we used these mice to prepare acute brain slices, in which we recorded both excitatory and inhibitory synaptic transmission onto dACC L3 PNs in response to optogenetic stimulation of MD axons (Fig. 3A,B).

Brief (0.5 ms) light stimulation evoked monosynaptic EPSCs and disynaptic IPSCs onto L3 PNs in the dorsal mPFC (Fig. 3C; and see Delevich et al., 2015). We found that the contribution of inhibitory synaptic transmission to total synaptic inputs, measured as IPSCpeak/(IPSCpeak+EPSCpeak), or Ipeak/(Ipeak+Epeak), was significantly lower in Disc1 LI mice than in WT mice when comparing the means of the two groups of animals (Disc1 LI, 0.52 ± 0.03, N = 11 mice; WT, 0.70 ± 0.02, N = 14 mice; t(23) = 5.73, jp < 0.0001, t test; Fig. 3D), or the means of the two groups of neurons (Disc1 LI, 0.60 ± 0.03; n = 30 cells, WT, 0.70 ± 0.02, n = 40 cells; t(68) = 3.17, kp < 0.01, t test; Fig. 3E). In addition, the slope of a linear regression describing the relationship between IPSC and EPSC peak amplitudes of individual neurons in the Disc1 LI mice was significantly lower than that in WT (Fig. 3F). The latencies (Fig. 3G–I) and kinetics of the EPSCs (Fig. 3J,K) and IPSCs (Fig. 3L,M) in Disc1 LI mice were similar to those in WT mice. These results together indicate that Disc1 LI is associated with reduced MD-driven FFI in the mPFC.

Spontaneous excitatory synaptic transmission onto PV INs and their intrinsic properties are unchanged in Disc1 LI mice

The decrease in FFI in the MD–mPFC pathway in Disc1 LI mice could result from the impairment in GABA release from PV INs in the mPFC (Fig. 2), or reduced recruitment of mPFC PV INs by MD. Thalamically-driven FFI relies on the ability of PV INs to reach threshold in response to thalamic inputs, a process dependent on both synaptic and intrinsic properties of PV INs. DISC1 is expressed in MGE-derived inhibitory INs including PV INs (Schurov et al., 2004; Meyer and Morris, 2008; Steinecke et al., 2012; Seshadri et al., 2015) raising the possibility that Disc1 LI could alter excitatory synaptic transmission onto PV INs and/or their intrinsic properties. We crossed the Disc1 LI mouse line onto the PV-Cre::tdTomato lines, allowing us to assess the synaptic and intrinsic properties of visually identified PV INs in the context of Disc1 LI. We found that mEPSC amplitude and frequency onto mPFC PV INs was consistent between genotypes (amplitude: WT, 12.39 ± 0.40 pA; Disc1 LI, 13.48 ± 0.45 pA, n = 20, 23 cells/genotype, N = 4 mice/genotype; t(41) = 1.78, lp = 0.08; frequency: WT, 6.99 ± 0.74 Hz; Disc1 LI, 6.55 ± 0.69 Hz, t(41) = 0.53, mp = 0.60; Fig. 4A,B). Next, we examined the intrinsic properties of PV INs in WT and Disc1 LI mice and found no significant differences between genotypes (Fig. 4C–H), including minimum current injection required to elicit spiking (WT, 142.3 ± 12.67 pA; Disc1 LI, 119.2 ± 14.3 pA, t(24) = 1.21, np = 0.24; Fig. 4G) or maximum firing rate (WT, 88.92 ± 3.9 Hz; Disc1 LI, 88.92 ± 6.78 Hz, t(24) = 0, oP > 0.99; Fig. 4H). These results suggest that neither intrinsic excitability of prefrontal PV INs nor spontaneous glutamatergic transmission onto them is grossly perturbed in Disc1 LI mice.

Enhanced input but reduced output of PV INs in Disc1 LI mice

We next examined recruitment of mPFC PV INs specifically within the MD–mPFC circuit to determine if reduced excitatory drive could account for the observed reduction in FFI in Disc1 LI mice. We recorded evoked EPSCs onto PV IN and PN pairs in the mPFC in response to optogenetic stimulation of MD axons (Fig. 5A). We found that in WT mice, amplitudes of thalamocortical EPSCs were similar between PV INs and neighboring PNs (PV, −109.3 ± 109.7 pA, PN, −129.1 ± 103.2 pA, n = 15 pairs, W = 0, pp = 1.0, Wilcoxon matched-pairs signed rank test; Fig. 5B,C). By contrast, in Disc1 LI mice, thalamocortical EPSCs onto PV INs were much larger than those onto neighboring PNs (PV, −153.4 ± 211.9 pA; PN, −73.74 ±104.6 pA; n = 14 pairs, W = −83, qp < 0.01 Wilcoxon matched-pairs signed rank test; Fig. 5B,C). These data suggest that MD excitatory drive onto PV INs is enhanced relative to L2/3 PNs in the mPFC of Disc1 LI mice. Therefore, reduced excitatory synaptic strength onto PV INs does not account for the decrease in FFI in the MD–mPFC circuit in Disc1 LI mice compared with WT (Fig. 3).

Figure 5.
Figure 5.

Altered presynaptic function of PV INs underlies the deficit of FFI in Disc1 LI mice. A, left, schematic of the experimental configuration. Right: schematic of the recording configuration in the mPFC acute slices. A Tdtomato+ PV IN (red) and an adjacent PN (gray) in L3 of the mPFC were recorded simultaneously or sequentially. EPSCs onto these neurons were evoked by optogenetic stimulation (0.5-ms light pulses; blue bars) of MD axons. B, Sample EPSC traces recorded from PV IN and PN pairs are superimposed and color-coded. C, Quantification of the EPSC peak amplitude. n.s., not significant (p = 1.0); **p < 0.01; Wilcoxon matched-pairs signed ranks test. D, Sample traces of FFI currents recorded from L3 PNs in response to optogenetic stimulation of MD axons. E, Quantification of PPR of the MD-driven FFI onto L3 PNs; ***p < 0.001, Mann–Whitney U test. F, The mean amplitude of the first IPSC was consistent between genotypes. G, FFI PPR plotted against (Ipeak)/(Ipeak + Epeak; as seen in Fig. 3D) within cells shows that for Disc1 LI mice but not WT mice, FFI PPR inversely correlated with (Ipeak)/(Ipeak + Epeak), suggesting that synapses with high FFI PPR also exhibit higher E/I ratio; **p < 0.01. Data in E presented as median ± interquartile range data in F presented as mean ± SEM.

Next, we probed presynaptic GABA release from PV cells within the MD–mFPC circuit, by optogenetically stimulating the MD axons (see the recording configuration in Fig. 3A,B) and measuring the PPR of MD-driven FFI onto mPFC PNs (Fig. 5D). Notably, we found that PPR of was significantly higher in Disc1 LI mice than in WT mice (WT: 0.0 ± 0.1, n = 24 cells, N = 10; Disc1 LI: 0.24 ± 0.34, n = 17 cells, N = 6; U = 62, rp = 0.0001, two-tailed Mann–Whitney U test; Fig. 5D,E), mirroring the increase in PPR we observed when directly activating PV INs (Fig. 2C). In order to reduce variability in measuring the PPR, we set the light-stimulation such that there was no difference between genotypes in the average amplitude of the first evoked IPSCs (WT, 439.3 ± 41.31 pA, n = 24 cells, N = 10; Disc1 LI, 367.1 ± 46.26 pA, n = 17 cells, N = 6; t(39) = 1.152, sp = 0.256, unpaired t test; Fig. 5F). Finally, we examined the relationship between PPR of MD-driven FFI and E-I ratio of MD-driven synaptic currents onto PNs. We found that there was a significant inverse correlation between FFI PPR and Ipeak/(Ipeak+Epeak) within PNs from Disc1 LI mice but not WT mice (Fig. 5G). Together, our data suggest that in Disc1 LI mice, GABA release from prefrontal PV INs is reduced, leading to decreased FFI in the MD–mPFC circuit.

Discussion

Perturbation of the multifunctional scaffolding protein DISC1 is linked to a range of behavioral phenotypes that are associated with major psychiatric disorders (Brandon and Sawa, 2011). These findings highlight DISC1 as a promising molecular lead to investigate the molecular pathways and neural circuits that underlie major mental illnesses (Niwa et al., 2016). Here, we used the Disc1 LI mouse model to investigate the function of mPFC circuits that may be particularly relevant to the cognitive symptoms of psychiatric disorders. We found that Disc1 LI mice exhibited elevated E-I ratio, measured as a reduction of spontaneous inhibitory transmission onto L2/3 PNs in mPFC and decreased FFI onto L2/3 PNs in the MD–mPFC circuit. Several lines of evidence suggest that this effect can be accounted for by a reduction in GABA release from PV INs in the mPFC: 1) mIPSC frequency was significantly reduced onto L2/3 PNs in Disc1 LI mice, consistent with a reduction in presynaptic release probability; 2) the PPR of IPSCs directly evoked by optogenetic stimulation of PV INs but not SOM INs was significantly increased in Disc1 LI mice compared with WT; and 3) the PPR of MD-evoked FFI, which is almost exclusively driven by PV INs under the experimental conditions used (Delevich et al., 2015), was increased in Disc1 LI mice and correlated with E-I ratio. Together, our findings suggest that PV → PN synapses are the primary site of impairment in the MD–mPFC circuit in Disc1 LI mice.

It has been hypothesized that the cognitive deficits in psychiatric diseases may be the consequence of imbalanced excitation and inhibition (E-I) in key neural circuits (Kehrer et al., 2008; Lisman, 2012; Marin, 2012; Krystal et al., 2017; Ferguson and Gao, 2018a). Consistent with this hypothesis, several studies have shown that experimentally imposing elevated E-I within the mPFC impairs cognitive processing in rodents (Yizhar et al., 2011; Cho et al., 2015; Murray et al., 2015; Ferguson and Gao, 2018b). In addition to evidence of altered PV IN mediated inhibition, we observed that excitatory synaptic transmission onto PV cells driven by MD inputs was enhanced in Disc1 LI mice, which could compensate for presynaptic deficits in PV IN function. Indeed, a recent study that examined multiple autism genetic mouse models found that increased E-I ratio did not drive network hyperexcitability but in fact led to homeostatic stabilization of excitability (Antoine et al., 2019). Therefore, potential network effects arising from altered E-I conductance ratios should not be over interpreted, and it remains unclear how the changes we observed in the Disc1 LI mice affect network activity in vivo and resulting behavior.

In humans, Disc1 polymorphisms are associated with measures of cognitive performance and frontal lobe structure among some ethnic groups (Burdick et al., 2005; Cannon et al., 2005; Hennah et al., 2005; Liu et al., 2006; Palo et al., 2007; Carless et al., 2011; Nicodemus et al., 2014). Multiple mouse models of DISC1 perturbation exhibit cognitive impairments (Koike et al., 2006; Clapcote et al., 2007; Li et al., 2007; Kvajo et al., 2008; Lipina et al., 2010; Niwa et al., 2010; Brandon and Sawa, 2011; Lee et al., 2013), strengthening the mechanistic link between DISC1 and cognition. Here we provide evidence of cell type-specific alterations within mPFC circuits implicated in multiples aspects of cognition. While we did not examine cognition in the Disc1 LI mice, Disc1 LI (−/−) mice are reported to exhibit blunted startle response and prepulse inhibition (PPI; Jaaro-Peled et al., 2018), a behavior that is regulated by the mPFC (Swerdlow et al., 2001; Schwabe and Koch, 2004). Future experiments interrogating mPFC-dependent cognition in Disc1 LI mice will be critical for relating the circuit-level changes we observed in E-I balance and PV IN function to behavior.

While our study is the first to specifically detect a presynaptic deficit in PV INs in a DISC1 genetic deficiency model, previous studies using different transgenic models have reported that DISC1 influences inhibitory IN function or development: spontaneous IPSC frequency is reduced in the frontal cortex of male mice expressing truncated mouse DISC1 (Holley et al., 2013); PV IN function is impaired in the mPFC of mice overexpressing a truncated form of DISC1 (Sauer et al., 2015); PV expression is reduced in the PFC of several Disc1 mouse models (Hikida et al., 2007; Shen et al., 2008; Niwa et al., 2010; Ayhan et al., 2011; Lee et al., 2013); and tangential migration of MGE-derived neurons is impaired by Disc1 mutation or RNA interference (Steinecke et al., 2012; Lee et al., 2013). These findings provide converging evidence that DISC1 perturbation alters PFC inhibition. Our current findings more specifically implicate the presynapse of PV INs as a site of impairment in mice harboring a Disc1 LI allele, which is the most extensively perturbed form of the gene reported to date (Shahani et al., 2015).

Several important caveats should be considered when interpreting our electrophysiology results. First, a reduction in mIPSC frequency is also consistent with a reduced number of inhibitory synapses. A recent study investigating Disc1 LI mice reported no change in the number of PV INs themselves within the mPFC (Seshadri et al., 2015). In addition, we focused on PV and SOM IN function, which together comprise ∼70% of cortical INs (Rudy et al., 2011). It is therefore possible that the remaining 30% of IN cell types, e.g., 5HT3a receptor-expressing neurons, also contribute to the reduced mIPSC frequency observed in Disc1 LI mice. Next, IPSCs directly evoked by optogenetic stimulation significantly overlapped at short interstimulus intervals; therefore, changes in the input resistance due to open channels likely influenced the size of the second signal and hence the PPR measurement. More detailed analysis such as multiple probability-compound binomial analysis or direct analysis of failure rate is necessary to conclude that GABA release probability from PV INs is reduced in Disc1 LI mice. We observed that PV IN evoked IPSC PPR was significantly increased at the 50- and 100-ms interstimulus intervals but not at the 150-ms interval. The time dependence of this effect may suggest a postsynaptic mechanism, such as GABA-mediated regulation of PPR (Kirischuk et al., 2002). Alternatively, GABAB presynaptic regulation may play a role in influencing PPR. Interestingly, a reduction in GABAB receptor expression in PNs has been observed in postmortem brain tissue of individuals with schizophrenia (Mizukami et al., 2002). These caveats considered, we provide multiple lines of evidence that are consistent with elevated E-I balance and abnormal PV IN function in mPFC circuits in Disc1 LI mice.

The coordinated activity between the MD and the PFC is important for WM, attention, and flexible goal-oriented behavior (Mitchell and Chakraborty, 2013; Parnaudeau et al., 2013, 2015; Schmitt et al., 2017; Alcaraz et al., 2018), faculties that are impaired in a variety of psychiatric disorders. Meanwhile, studies have found that MD–mPFC synaptic strength is modulated by social interaction, perhaps relevant to negative symptoms of schizophrenia and depression (Northoff and Sibille, 2014; Franklin et al., 2017; Zhou et al., 2017). In relation to DISC1, one study found that a common missense variant of Disc1 was associated with altered thalamofrontal functional connectivity (Liu et al., 2015). Notably, patients with schizophrenia and bipolar disorder exhibit reduced MD-PFC functional connectivity relative to healthy controls (Welsh et al., 2010; Woodward et al., 2012; Anticevic et al., 2014). An emerging hypothesis posits that local disinhibition of PFC may destabilize the flow of information through the thalamofrontal loop and contribute to cognitive and negative symptoms in schizophrenia and related disorders (Anticevic et al., 2012; Murray and Anticevic, 2017). Structural alterations within thalamofrontal circuits have also been linked to cognitive deficits associated with aging (Hughes et al., 2012) and epilepsy (Pulsipher et al., 2009). However, until recently there was a paucity of data describing how the MD and frontal cortex interact at the neural circuit level. Recent studies have demonstrated that the MD thalamus recruits FFI in the rodent mPFC (Delevich et al., 2015; Miller et al., 2017; Collins et al., 2018; Meda et al., 2019) that is primarily mediated by PV INs (Delevich et al., 2015). Interestingly, chemogenetic excitation of mPFC PV INs has been shown to rescue cognitive deficits induced by chemogenetic inhibition of MD (Ferguson and Gao, 2018b).

Our findings extend data suggesting that MD, via its projections to PV INs, is a key regulator of E-I balance that underpins PFC circuit function. We demonstrate that reduced DISC1 expression, a key molecular candidate to study biology relevant to behavioral constructs related to several psychiatric disorders, leads to elevated E-I balance in the MD–mPFC thalamofrontal circuit. Given that few treatment options exist to address the cognitive symptoms of psychiatric disorders, efforts towards understanding the cellular and molecular mechanisms underlying abnormal thalamofrontal functional connectivity may yield therapies that will improve patient outcomes.

Acknowledgments

Acknowledgements: We thank members of the B.L. laboratory for discussions.

Footnotes

  • The authors declare no competing financial interests.

  • This work was supported by a National Institutes of Health (NIH) training grant (K.D.), NIH Grants R01MH101214 and R01MH108924 (to B.L.) and R01MH094268 and R01MH105660 (to A.S.), a National Alliance for Research on Schizophrenia and Depression grant (B.L.), the Wodecroft Foundation (B.L.), the Stanley Family Foundation (B.L.), Simons Foundation Autism Research Initiative (B.L.), Louis Feil Trust (B.L.), and the Cold Spring Harbor Laboratory and Northwell Health Affiliation (B.L.).

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. ↵
    Alcaraz F, Fresno V, Marchand AR, Kremer EJ, Coutureau E, Wolff M (2018) Thalamocortical and corticothalamic pathways differentially contribute to goal-directed behaviors in the rat. Elife 7:e32517. doi:10.7554/eLife.32517
    OpenUrlCrossRefPubMed
  2. ↵
    Anticevic A, Gancsos M, Murray JD, Repovs G, Driesen NR, Ennis DJ, Niciu MJ, Morgan PT, Surti TS, Bloch MH, Ramani R, Smith MA, Wang XJ, Krystal JH, Corlett PR (2012) NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia. Proc Natl Acad Sci USA 109:16720–16725. doi:10.1073/pnas.1208494109 pmid:23012427
    OpenUrlAbstract/FREE Full Text
  3. ↵
    Anticevic A, Cole MW, Repovs G, Murray JD, Brumbaugh MS, Winkler AM, Savic A, Krystal JH, Pearlson GD, Glahn DC (2014) Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness. Cereb Cortex 24:3116–3130. doi:10.1093/cercor/bht165 pmid:23825317
    OpenUrlCrossRefPubMed
  4. ↵
    Antoine MW, Langberg T, Schnepel P, Feldman DE (2019) Increased excitation-inhibition ratio stabilizes synapse and circuit excitability in four autism mouse models. Neuron 101:648–661.e4. doi:10.1016/j.neuron.2018.12.026 pmid:30679017
    OpenUrlCrossRefPubMed
  5. ↵
    Ayhan Y, Abazyan B, Nomura J, Kim R, Ladenheim B, Krasnova IN, Sawa A, Margolis RL, Cadet JL, Mori S, Vogel MW, Ross CA, Pletnikov MV (2011) Differential effects of prenatal and postnatal expressions of mutant human DISC1 on neurobehavioral phenotypes in transgenic mice: Evidence for neurodevelopmental origin of major psychiatric disorders. Mol Psychiatry 16:293–306. doi:10.1038/mp.2009.144 pmid:20048751
    OpenUrlCrossRefPubMed
  6. ↵
    Beasley CL, Reynolds GP (1997) Parvalbumin-immunoreactive neurons are reduced in the prefrontal cortex of schizophrenics. Schizophr Res 24:349–355. doi:10.1016/s0920-9964(96)00122-3 pmid:9134596
    OpenUrlCrossRefPubMed
  7. ↵
    Bolkan SS, Stujenske JM, Parnaudeau S, Spellman TJ, Rauffenbart C, Abbas AI, Harris AZ, Gordon JA, Kellendonk C (2017) Thalamic projections sustain prefrontal activity during working memory maintenance. Nat Neurosci 20:987–996. doi:10.1038/nn.4568 pmid:28481349
    OpenUrlCrossRefPubMed
  8. ↵
    Brandon NJ, Sawa A (2011) Linking neurodevelopmental and synaptic theories of mental illness through DISC1. Nat Rev Neurosci 12:707–722. doi:10.1038/nrn3120 pmid:22095064
    OpenUrlCrossRefPubMed
  9. ↵
    Burdick KE, Hodgkinson CA, Szeszko PR, Lencz T, Ekholm JM, Kane JM, Goldman D, Malhotra AK (2005) DISC1 and neurocognitive function in schizophrenia. Neuroreport 16:1399–1402. doi:10.1097/01.wnr.0000175248.25535.f6 pmid:16056147
    OpenUrlCrossRefPubMed
  10. ↵
    Cannon TD, Huttunen MO, Lonnqvist J, Tuulio-Henriksson A, Pirkola T, Glahn D, Finkelstein J, Hietanen M, Kaprio J, Koskenvuo M (2000) The inheritance of neuropsychological dysfunction in twins discordant for schizophrenia. Am J Hum Genet 67:369–382. doi:10.1086/303006 pmid:10880296
    OpenUrlCrossRefPubMed
  11. ↵
    Cannon TD, Hennah W, van Erp TG, Thompson PM, Lonnqvist J, Huttunen M, Gasperoni T, Tuulio-Henriksson A, Pirkola T, Toga AW, Kaprio J, Mazziotta J, Peltonen L (2005) Association of DISC1/TRAX haplotypes with schizophrenia, reduced prefrontal gray matter, and impaired short- and long-term memory. Arch Gen Psychiatry 62:1205–1213. doi:10.1001/archpsyc.62.11.1205 pmid:16275808
    OpenUrlCrossRefPubMed
  12. ↵
    Cardin JA, Carlén M, Meletis K, Knoblich U, Zhang F, Deisseroth K, Tsai LH, Moore CI (2009) Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature 459:663–667. doi:10.1038/nature08002 pmid:19396156
    OpenUrlCrossRefPubMed
  13. ↵
    Carless MA, Glahn DC, Johnson MP, Curran JE, Bozaoglu K, Dyer TD, Winkler AM, Cole SA, Almasy L, MacCluer JW, Duggirala R, Moses EK, Göring HH, Blangero J (2011) Impact of DISC1 variation on neuroanatomical and neurocognitive phenotypes. Mol Psychiatry 16:1096–1104, 1063. doi:10.1038/mp.2011.37 pmid:21483430
    OpenUrlCrossRefPubMed
  14. ↵
    Cho KK, Hoch R, Lee AT, Patel T, Rubenstein JL, Sohal VS (2015) Gamma rhythms link prefrontal interneuron dysfunction with cognitive inflexibility in Dlx5/6(+/−) mice. Neuron 85:1332–1343. doi:10.1016/j.neuron.2015.02.019 pmid:25754826
    OpenUrlCrossRefPubMed
  15. ↵
    Chu HY, Ito W, Li J, Morozov A (2012) Target-specific suppression of GABA release from parvalbumin interneurons in the basolateral amygdala by dopamine. J Neurosci 32:14815–14820. doi:10.1523/JNEUROSCI.2997-12.2012 pmid:23077066
    OpenUrlAbstract/FREE Full Text
  16. ↵
    Clapcote SJ, Lipina TV, Millar JK, Mackie S, Christie S, Ogawa F, Lerch JP, Trimble K, Uchiyama M, Sakuraba Y, Kaneda H, Shiroishi T, Houslay MD, Henkelman RM, Sled JG, Gondo Y, Porteous DJ, Roder JC (2007) Behavioral phenotypes of Disc1 missense mutations in mice. Neuron 54:387–402. doi:10.1016/j.neuron.2007.04.015 pmid:17481393
    OpenUrlCrossRefPubMed
  17. ↵
    Collins DP, Anastasiades PG, Marlin JJ, Carter AG (2018) Reciprocal circuits linking the prefrontal cortex with dorsal and ventral thalamic nuclei. Neuron 98:366–379.e4. doi:10.1016/j.neuron.2018.03.024 pmid:29628187
    OpenUrlCrossRefPubMed
  18. ↵
    Delevich K, Tucciarone J, Huang ZJ, Li B (2015) The mediodorsal thalamus drives feedforward inhibition in the anterior cingulate cortex via parvalbumin interneurons. J Neurosci 35:5743–5753. doi:10.1523/JNEUROSCI.4565-14.2015 pmid:25855185
    OpenUrlAbstract/FREE Full Text
  19. ↵
    Ferguson BR, Gao WJ (2018a) PV interneurons: Critical regulators of E/I balance for prefrontal cortex-dependent behavior and psychiatric disorders. Front Neural Circuits 12:37. doi:10.3389/fncir.2018.00037 pmid:29867371
    OpenUrlCrossRefPubMed
  20. ↵
    Ferguson BR, Gao WJ (2018b) Thalamic control of cognition and social behavior via regulation of gamma-aminobutyric acidergic signaling and excitation/inhibition balance in the medial prefrontal cortex. Biol Psychiatry 83:657–669. doi:10.1016/j.biopsych.2017.11.033 pmid:29373121
    OpenUrlCrossRefPubMed
  21. ↵
    Franklin TB, Silva BA, Perova Z, Marrone L, Masferrer ME, Zhan Y, Kaplan A, Greetham L, Verrechia V, Halman A, Pagella S, Vyssotski AL, Illarionova A, Grinevich V, Branco T, Gross CT (2017) Prefrontal cortical control of a brainstem social behavior circuit. Nat Neurosci 20:260–270. doi:10.1038/nn.4470 pmid:28067904
    OpenUrlCrossRefPubMed
  22. ↵
    Fries P (2009) Neuronal gamma-band synchronization as a fundamental process in cortical computation. Annu Rev Neurosci 32:209–224. doi:10.1146/annurev.neuro.051508.135603 pmid:19400723
    OpenUrlCrossRefPubMed
  23. ↵
    Hashimoto T, Volk DW, Eggan SM, Mirnics K, Pierri JN, Sun Z, Sampson AR, Lewis DA (2003) Gene expression deficits in a subclass of GABA neurons in the prefrontal cortex of subjects with schizophrenia. J Neurosci 23:6315–6326. pmid:12867516
    OpenUrlAbstract/FREE Full Text
  24. ↵
    Hayashi-Takagi A, Takaki M, Graziane N, Seshadri S, Murdoch H, Dunlop AJ, Makino Y, Seshadri AJ, Ishizuka K, Srivastava DP, Xie Z, Baraban JM, Houslay MD, Tomoda T, Brandon NJ, Kamiya A, Yan Z, Penzes P, Sawa A (2010) Disrupted-in-schizophrenia 1 (DISC1) regulates spines of the glutamate synapse via Rac1. Nat Neurosci 13:327–332. doi:10.1038/nn.2487 pmid:20139976
    OpenUrlCrossRefPubMed
  25. ↵
    Hennah W, Tuulio-Henriksson A, Paunio T, Ekelund J, Varilo T, Partonen T, Cannon TD, Lönnqvist J, Peltonen L (2005) A haplotype within the DISC1 gene is associated with visual memory functions in families with a high density of schizophrenia. Mol Psychiatry 10:1097–1103. doi:10.1038/sj.mp.4001731 pmid:16103888
    OpenUrlCrossRefPubMed
  26. ↵
    Hikida T, Jaaro-Peled H, Seshadri S, Oishi K, Hookway C, Kong S, Wu D, Xue R, Andradé M, Tankou S, Mori S, Gallagher M, Ishizuka K, Pletnikov M, Kida S, Sawa A (2007) Dominant-negative DISC1 transgenic mice display schizophrenia-associated phenotypes detected by measures translatable to humans. Proc Natl Acad Sci USA 104:14501–14506. doi:10.1073/pnas.0704774104 pmid:17675407
    OpenUrlAbstract/FREE Full Text
  27. ↵
    Hippenmeyer S, Vrieseling E, Sigrist M, Portmann T, Laengle C, Ladle DR, Arber S (2005) A developmental switch in the response of DRG neurons to ETS transcription factor signaling. PLoS Biol 3:e159. doi:10.1371/journal.pbio.0030159 pmid:15836427
    OpenUrlCrossRefPubMed
  28. ↵
    Holley SM, Wang EA, Cepeda C, Jentsch JD, Ross CA, Pletnikov MV, Levine MS (2013) Frontal cortical synaptic communication is abnormal in Disc1 genetic mouse models of schizophrenia. Schizophr Res 146:264–272. doi:10.1016/j.schres.2013.02.007 pmid:23481583
    OpenUrlCrossRefPubMed
  29. ↵
    Hughes EJ, Bond J, Svrckova P, Makropoulos A, Ball G, Sharp DJ, Edwards AD, Hajnal JV, Counsell SJ (2012) Regional changes in thalamic shape and volume with increasing age. Neuroimage 63:1134–1142. doi:10.1016/j.neuroimage.2012.07.043 pmid:22846656
    OpenUrlCrossRefPubMed
  30. ↵
    Ibi D, Nagai T, Koike H, Kitahara Y, Mizoguchi H, Niwa M, Jaaro-Peled H, Nitta A, Yoneda Y, Nabeshima T, Sawa A, Yamada K (2010) Combined effect of neonatal immune activation and mutant DISC1 on phenotypic changes in adulthood. Behav Brain Res 206:32–37. doi:10.1016/j.bbr.2009.08.027 pmid:19716847
    OpenUrlCrossRefPubMed
  31. ↵
    Isaacson JS, Scanziani M (2011) How inhibition shapes cortical activity. Neuron 72:231–243. doi:10.1016/j.neuron.2011.09.027 pmid:22017986
    OpenUrlCrossRefPubMed
  32. ↵
    Ishizuka K, Chen J, Taya S, Li W, Millar JK, Xu Y, Clapcote SJ, Hookway C, Morita M, Kamiya A, Tomoda T, Lipska BK, Roder JC, Pletnikov M, Porteous D, Silva AJ, Cannon TD, Kaibuchi K, Brandon NJ, Weinberger DR, Sawa A (2007) Evidence that many of the DISC1 isoforms in C57BL/6J mice are also expressed in 129S6/SvEv mice. Mol Psychiatry 12:897–899. doi:10.1038/sj.mp.4002024 pmid:17895924
    OpenUrlCrossRefPubMed
  33. ↵
    Ishizuka K, Kamiya A, Oh EC, Kanki H, Seshadri S, Robinson JF, Murdoch H, Dunlop AJ, Kubo K, Furukori K, Huang B, Zeledon M, Hayashi-Takagi A, Okano H, Nakajima K, Houslay MD, Katsanis N, Sawa A (2011) DISC1-dependent switch from progenitor proliferation to migration in the developing cortex. Nature 473:92–96. doi:10.1038/nature09859 pmid:21471969
    OpenUrlCrossRefPubMed
  34. ↵
    Jaaro-Peled H, Kumar S, Hughes D, Kim S-H, Zoubovsky S, Hirota-Tsuyada Y, Zala D, Sumitomo A, Bruyere J, Katz BM, Huang B, Flores R, Narayan S, Hou Z, Economides AN, Hikida T, Wetsel WC, Deisseroth K, Mori S, Brandon NJ, et al. (2018) The cortico-striatal circuit regulates sensorimotor gating via Disc1/Huntingtin-mediated Bdnf transport. bioRxiv 497446.
  35. ↵
    Kamiya A, Kubo K, Tomoda T, Takaki M, Youn R, Ozeki Y, Sawamura N, Park U, Kudo C, Okawa M, Ross CA, Hatten ME, Nakajima K, Sawa A (2005) A schizophrenia-associated mutation of DISC1 perturbs cerebral cortex development. Nat Cell Biol 7:1167–1178. doi:10.1038/ncb1328 pmid:16299498
    OpenUrlCrossRefPubMed
  36. ↵
    Kehrer C, Maziashvili N, Dugladze T, Gloveli T (2008) Altered excitatory-inhibitory balance in the NMDA-hypofunction model of schizophrenia. Front Mol Neurosci 1:6. doi:10.3389/neuro.02.006.2008 pmid:18946539
    OpenUrlCrossRefPubMed
  37. ↵
    Kirischuk S, Clements JD, Grantyn R (2002) Presynaptic and postsynaptic mechanisms underlie paired pulse depression at single GABAergic boutons in rat collicular cultures. J Physiol 543:99–116. doi:10.1113/jphysiol.2002.021576 pmid:12181284
    OpenUrlCrossRefPubMed
  38. ↵
    Koike H, Arguello PA, Kvajo M, Karayiorgou M, Gogos JA (2006) Disc1 is mutated in the 129S6/SvEv strain and modulates working memory in mice. Proc Natl Acad Sci USA 103:3693–3697. doi:10.1073/pnas.0511189103 pmid:16484369
    OpenUrlAbstract/FREE Full Text
  39. ↵
    Koyanagi Y, Yamamoto K, Oi Y, Koshikawa N, Kobayashi M (2010) Presynaptic interneuron subtype- and age-dependent modulation of GABAergic synaptic transmission by beta-adrenoceptors in rat insular cortex. J Neurophysiol 103:2876–2888. doi:10.1152/jn.00972.2009 pmid:20457865
    OpenUrlCrossRefPubMed
  40. ↵
    Krystal JH, Anticevic A, Yang GJ, Dragoi G, Driesen NR, Wang XJ, Murray JD (2017) Impaired tuning of neural ensembles and the pathophysiology of schizophrenia: A translational and computational neuroscience oerspective. Biol Psychiatry 81:874–885. doi:10.1016/j.biopsych.2017.01.004 pmid:28434616
    OpenUrlCrossRefPubMed
  41. ↵
    Kuroda M, Yokofujita J, Murakami K (1998) An ultrastructural study of the neural circuit between the prefrontal cortex and the mediodorsal nucleus of the thalamus. Prog Neurobiol 54:417–458. doi:10.1016/s0301-0082(97)00070-1 pmid:9522395
    OpenUrlCrossRefPubMed
  42. ↵
    Kvajo M, McKellar H, Arguello PA, Drew LJ, Moore H, MacDermott AB, Karayiorgou M, Gogos JA (2008) A mutation in mouse Disc1 that models a schizophrenia risk allele leads to specific alterations in neuronal architecture and cognition. Proc Natl Acad Sci USA 105:7076–7081. doi:10.1073/pnas.0802615105 pmid:18458327
    OpenUrlAbstract/FREE Full Text
  43. ↵
    Lee FH, Zai CC, Cordes SP, Roder JC, Wong AH (2013) Abnormal interneuron development in disrupted-in-schizophrenia-1 L100P mutant mice. Mol Brain 6:20. doi:10.1186/1756-6606-6-20 pmid:23631734
    OpenUrlCrossRefPubMed
  44. ↵
    Lesh TA, Niendam TA, Minzenberg MJ, Carter CS (2011) Cognitive control deficits in schizophrenia: Mechanisms and meaning. Neuropsychopharmacology 36:316–338. doi:10.1038/npp.2010.156 pmid:20844478
    OpenUrlCrossRefPubMed
  45. ↵
    Lewis DA, Curley AA, Glausier JR, Volk DW (2012) Cortical parvalbumin interneurons and cognitive dysfunction in schizophrenia. Trends Neurosci 35:57–67. doi:10.1016/j.tins.2011.10.004 pmid:22154068
    OpenUrlCrossRefPubMed
  46. ↵
    Li H, Penzo MA, Taniguchi H, Kopec CD, Huang ZJ, Li B (2013) Experience-dependent modification of a central amygdala fear circuit. Nat Neurosci 16:332–339. doi:10.1038/nn.3322 pmid:23354330
    OpenUrlCrossRefPubMed
  47. ↵
    Li W, Zhou Y, Jentsch JD, Brown RA, Tian X, Ehninger D, Hennah W, Peltonen L, Lönnqvist J, Huttunen MO, Kaprio J, Trachtenberg JT, Silva AJ, Cannon TD (2007) Specific developmental disruption of disrupted-in-schizophrenia-1 function results in schizophrenia-related phenotypes in mice. Proc Natl Acad Sci USA 104:18280–18285. doi:10.1073/pnas.0706900104 pmid:17984054
    OpenUrlAbstract/FREE Full Text
  48. ↵
    Lipina TV, Niwa M, Jaaro-Peled H, Fletcher PJ, Seeman P, Sawa A, Roder JC (2010) Enhanced dopamine function in DISC1-L100P mutant mice: implications for schizophrenia. Genes Brain Behav 9:777–789. doi:10.1111/j.1601-183X.2010.00615.x pmid:20618446
    OpenUrlCrossRefPubMed
  49. ↵
    Lisman J (2012) Excitation, inhibition, local oscillations, or large-scale loops: what causes the symptoms of schizophrenia? Curr Opin Neurobiol 22:537–544. doi:10.1016/j.conb.2011.10.018 pmid:22079494
    OpenUrlCrossRefPubMed
  50. ↵
    Liu B, Fan L, Cui Y, Zhang X, Hou B, Li Y, Qin W, Wang D, Yu C, Jiang T (2015) DISC1 Ser704Cys impacts thalamic-prefrontal connectivity. Brain Struct Funct 220:91–100. doi:10.1007/s00429-013-0640-5 pmid:24146131
    OpenUrlCrossRefPubMed
  51. ↵
    Liu YL, Fann CS, Liu CM, Chen WJ, Wu JY, Hung SI, Chen CH, Jou YS, Liu SK, Hwang TJ, Hsieh MH, Ouyang WC, Chan HY, Chen JJ, Yang WC, Lin CY, Lee SF, Hwu HG (2006) A single nucleotide polymorphism fine mapping study of chromosome 1q42.1 reveals the vulnerability genes for schizophrenia, GNPAT and DISC1: Association with impairment of sustained attention. Biol Psychiatry 60:554–562. doi:10.1016/j.biopsych.2006.04.024 pmid:16997000
    OpenUrlCrossRefPubMed
  52. ↵
    Ma Y, Hu H, Agmon A (2012) Short-term plasticity of unitary inhibitory-to-inhibitory synapses depends on the presynaptic interneuron subtype. J Neurosci 32:983–988. doi:10.1523/JNEUROSCI.5007-11.2012 pmid:22262896
    OpenUrlAbstract/FREE Full Text
  53. ↵
    Madisen L, Zwingman TA, Sunkin SM, Oh SW, Zariwala HA, Gu H, Ng LL, Palmiter RD, Hawrylycz MJ, Jones AR, Lein ES, Zeng H (2010) A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat Neurosci 13:133–140. doi:10.1038/nn.2467 pmid:20023653
    OpenUrlCrossRefPubMed
  54. ↵
    Maher BJ, LoTurco JJ (2012) Disrupted-in-schizophrenia (DISC1) functions presynaptically at glutamatergic synapses. PLoS One 7:e34053. doi:10.1371/journal.pone.0034053 pmid:22479520
    OpenUrlCrossRefPubMed
  55. ↵
    Mao Y, Ge X, Frank CL, Madison JM, Koehler AN, Doud MK, Tassa C, Berry EM, Soda T, Singh KK, Biechele T, Petryshen TL, Moon RT, Haggarty SJ, Tsai LH (2009) Disrupted in schizophrenia 1 regulates neuronal progenitor proliferation via modulation of GSK3beta/beta-catenin signaling. Cell 136:1017–1031. doi:10.1016/j.cell.2008.12.044 pmid:19303846
    OpenUrlCrossRefPubMed
  56. ↵
    Marin O (2012) Interneuron dysfunction in psychiatric disorders. Nat Rev Neurosci 13:107–120.
    OpenUrlCrossRefPubMed
  57. ↵
    Meda KS, Patel T, Braz JM, Malik R, Turner ML, Seifikar H, Basbaum AI, Sohal VS (2019) Microcircuit mechanisms through which mediodorsal thalamic input to anterior cingulate cortex exacerbates pain-related aversion. Neuron 102:944–959.e3. doi:10.1016/j.neuron.2019.03.042 pmid:31030955
    OpenUrlCrossRefPubMed
  58. ↵
    Meyer KD, Morris JA (2008) Immunohistochemical analysis of Disc1 expression in the developing and adult hippocampus. Gene Expr Patterns 8:494–501. doi:10.1016/j.gep.2008.06.005 pmid:18620078
    OpenUrlCrossRefPubMed
  59. ↵
    Millar JK, Wilson-Annan JC, Anderson S, Christie S, Taylor MS, Semple CA, Devon RS, St Clair DM, Muir WJ, Blackwood DH, Porteous DJ (2000) Disruption of two novel genes by a translocation co-segregating with schizophrenia. Hum Mol Genet 9:1415–1423. doi:10.1093/hmg/9.9.1415 pmid:10814723
    OpenUrlCrossRefPubMed
  60. ↵
    Miller OH, Bruns A, Ben Ammar I, Mueggler T, Hall BJ (2017) Synaptic regulation of a thalamocortical circuit controls depression-related behavior. Cell Rep 20:1867–1880. doi:10.1016/j.celrep.2017.08.002 pmid:28834750
    OpenUrlCrossRefPubMed
  61. ↵
    Mitchell AS, Chakraborty S (2013) What does the mediodorsal thalamus do? Front Syst Neurosci 7:37. doi:10.3389/fnsys.2013.00037 pmid:23950738
    OpenUrlCrossRefPubMed
  62. ↵
    Mittmann W, Koch U, Häusser M (2005) Feed-forward inhibition shapes the spike output of cerebellar Purkinje cells. J Physiol 563:369–378. doi:10.1113/jphysiol.2004.075028 pmid:15613376
    OpenUrlCrossRefPubMed
  63. ↵
    Mizukami K, Ishikawa M, Hidaka S, Iwakiri M, Sasaki M, Iritani S (2002) Immunohistochemical localization of GABAB receptor in the entorhinal cortex and inferior temporal cortex of schizophrenic brain. Prog Neuropsychopharmacol Biol Psychiatry 26:393–396. doi:10.1016/s0278-5846(01)00247-0 pmid:11817519
    OpenUrlCrossRefPubMed
  64. ↵
    Murray AJ, Woloszynowska-Fraser MU, Ansel-Bollepalli L, Cole KL, Foggetti A, Crouch B, Riedel G, Wulff P (2015) Parvalbumin-positive interneurons of the prefrontal cortex support working memory and cognitive flexibility. Sci Rep 5:16778. doi:10.1038/srep16778 pmid:26608841
    OpenUrlCrossRefPubMed
  65. ↵
    Murray JD, Anticevic A (2017) Toward understanding thalamocortical dysfunction in schizophrenia through computational models of neural circuit dynamics. Schizophr Res 180:70–77. doi:10.1016/j.schres.2016.10.021 pmid:27784534
    OpenUrlCrossRefPubMed
  66. ↵
    Myles-Worsley M, Park S (2002) Spatial working memory deficits in schizophrenia patients and their first degree relatives from Palau, Micronesia. Am J Med Genet 114:609–615. doi:10.1002/ajmg.10644 pmid:12210274
    OpenUrlCrossRefPubMed
  67. ↵
    Nicodemus KK, Elvevåg B, Foltz PW, Rosenstein M, Diaz-Asper C, Weinberger DR (2014) Category fluency, latent semantic analysis and schizophrenia: A candidate gene approach. Cortex 55:182–191. doi:10.1016/j.cortex.2013.12.004 pmid:24447899
    OpenUrlCrossRefPubMed
  68. ↵
    Niwa M, Kamiya A, Murai R, Kubo K-i, Gruber AJ, Tomita K, Lu L, Tomisato S, Jaaro-Peled H, Seshadri S, Hiyama H, Huang B, Kohda K, Noda Y, O'Donnell P, Nakajima K, Sawa A, Nabeshima T (2010) Knockdown of DISC1 by in utero gene transfer disturbs postnatal dopaminergic maturation in the frontal cortex and leads to adult behavioral deficits. Neuron 65:480–489. doi:10.1016/j.neuron.2010.01.019 pmid:20188653
    OpenUrlCrossRefPubMed
  69. ↵
    Niwa M, Cash-Padgett T, Kubo KI, Saito A, Ishii K, Sumitomo A, Taniguchi Y, Ishizuka K, Jaaro-Peled H, Tomoda T, Nakajima K, Sawa A, Kamiya A (2016) DISC1 a key molecular lead in psychiatry and neurodevelopment: No-more disrupted-in-schizophrenia 1. Mol Psychiatry 21:1488–1489. doi:10.1038/mp.2016.154 pmid:27595595
    OpenUrlCrossRefPubMed
  70. ↵
    Northoff G, Sibille E (2014) Why are cortical GABA neurons relevant to internal focus in depression? A cross-level model linking cellular, biochemical and neural network findings. Mol Psychiatry 19:966–977. doi:10.1038/mp.2014.68 pmid:25048001
    OpenUrlCrossRefPubMed
  71. ↵
    Palo OM, Antila M, Silander K, Hennah W, Kilpinen H, Soronen P, Tuulio-Henriksson A, Kieseppä T, Partonen T, Lönnqvist J, Peltonen L, Paunio T (2007) Association of distinct allelic haplotypes of DISC1 with psychotic and bipolar spectrum disorders and with underlying cognitive impairments. Hum Mol Genet 16:2517–2528. doi:10.1093/hmg/ddm207 pmid:17673452
    OpenUrlCrossRefPubMed
  72. ↵
    Parnaudeau S, O'Neill P-K, Bolkan SS, Ward RD, Abbas AI, Roth BL, Balsam PD, Gordon JA, Kellendonk C (2013) Inhibition of mediodorsal thalamus disrupts thalamofrontal connectivity and cognition. Neuron 77:1151–1162. doi:10.1016/j.neuron.2013.01.038 pmid:23522049
    OpenUrlCrossRefPubMed
  73. ↵
    Parnaudeau S, Taylor K, Bolkan SS, Ward RD, Balsam PD, Kellendonk C (2015) Mediodorsal thalamus hypofunction impairs flexible goal-directed behavior. Biol Psychiatry 77:445–453. doi:10.1016/j.biopsych.2014.03.020 pmid:24813335
    OpenUrlCrossRefPubMed
  74. ↵
    Parnaudeau S, Bolkan SS, Kellendonk C (2018) The mediodorsal thalamus: an essential partner of the prefrontal cortex for cognition. Biol Psychiatry 83:648–656. doi:10.1016/j.biopsych.2017.11.008
    OpenUrlCrossRefPubMed
  75. ↵
    Pulsipher DT, Seidenberg M, Guidotti L, Tuchscherer VN, Morton J, Sheth RD, Hermann B (2009) Thalamofrontal circuitry and executive dysfunction in recent-onset juvenile myoclonic epilepsy. Epilepsia 50:1210–1219. doi:10.1111/j.1528-1167.2008.01952.x pmid:19183226
    OpenUrlCrossRefPubMed
  76. ↵
    Rikhye RV, Gilra A, Halassa MM (2018) Thalamic regulation of switching between cortical representations enables cognitive flexibility. Nat Neurosci 21:1753–1763. doi:10.1038/s41593-018-0269-z pmid:30455456
    OpenUrlCrossRefPubMed
  77. ↵
    Rudy B, Fishell G, Lee S, Hjerling-Leffler J (2011) Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons. Dev Neurobiol 71:45–61. doi:10.1002/dneu.20853 pmid:21154909
    OpenUrlCrossRefPubMed
  78. ↵
    Sauer JF, Strüber M, Bartos M (2015) Impaired fast-spiking interneuron function in a genetic mouse model of depression. Elife 4. doi:10.7554/eLife.04979
    OpenUrlCrossRefPubMed
  79. ↵
    Schizophrenia Working Group of the Psychiatric Genomics C (2014) Biological insights from 108 schizophrenia-associated genetic loci. Nature 511:421–427.
    OpenUrlCrossRefPubMed
  80. ↵
    Schmitt LI, Wimmer RD, Nakajima M, Happ M, Mofakham S, Halassa MM (2017) Thalamic amplification of cortical connectivity sustains attentional control. Nature 545:219–223. doi:10.1038/nature22073 pmid:28467827
    OpenUrlCrossRefPubMed
  81. ↵
    Schurov IL, Handford EJ, Brandon NJ, Whiting PJ (2004) Expression of disrupted in schizophrenia 1 (DISC1) protein in the adult and developing mouse brain indicates its role in neurodevelopment. Mol Psychiatry 9:1100–1110. doi:10.1038/sj.mp.4001574 pmid:15381924
    OpenUrlCrossRefPubMed
  82. ↵
    Schwabe K, Koch M (2004) Role of the medial prefrontal cortex in N-methyl-D-aspartate receptor antagonist induced sensorimotor gating deficit in rats. Neurosci Lett 355:5–8. doi:10.1016/j.neulet.2003.10.028 pmid:14729221
    OpenUrlCrossRefPubMed
  83. ↵
    Seshadri S, Faust T, Ishizuka K, Delevich K, Chung Y, Kim SH, Cowles M, Niwa M, Jaaro-Peled H, Tomoda T, Lai C, Anton ES, Li B, Sawa A (2015) Interneuronal DISC1 regulates NRG1-ErbB4 signalling and excitatory-inhibitory synapse formation in the mature cortex. Nat Commun 6:10118. doi:10.1038/ncomms10118 pmid:26656849
    OpenUrlCrossRefPubMed
  84. ↵
    Shahani N, Seshadri S, Jaaro-Peled H, Ishizuka K, Hirota-Tsuyada Y, Wang Q, Koga M, Sedlak TW, Korth C, Brandon NJ, Kamiya A, Subramaniam S, Tomoda T, Sawa A (2015) DISC1 regulates trafficking and processing of APP and Aβ generation. Mol Psychiatry 20:874–879. doi:10.1038/mp.2014.100 pmid:25224257
    OpenUrlCrossRefPubMed
  85. ↵
    Shen S, Lang B, Nakamoto C, Zhang F, Pu J, Kuan SL, Chatzi C, He S, Mackie I, Brandon NJ, Marquis KL, Day M, Hurko O, McCaig CD, Riedel G, St Clair D (2008) Schizophrenia-related neural and behavioral phenotypes in transgenic mice expressing truncated Disc1. J Neurosci 28:10893–10904. doi:10.1523/JNEUROSCI.3299-08.2008 pmid:18945897
    OpenUrlAbstract/FREE Full Text
  86. ↵
    Snitz BE, Macdonald AW 3rd , Carter CS (2006) Cognitive deficits in unaffected first-degree relatives of schizophrenia patients: A meta-analytic review of putative endophenotypes. Schizophr Bull 32:179–194. doi:10.1093/schbul/sbi048 pmid:16166612
    OpenUrlCrossRefPubMed
  87. ↵
    Sohal VS, Zhang F, Yizhar O, Deisseroth K (2009) Parvalbumin neurons and gamma rhythms enhance cortical circuit performance. Nature 459:698–702. doi:10.1038/nature07991 pmid:19396159
    OpenUrlCrossRefPubMed
  88. ↵
    Steinecke A, Gampe C, Valkova C, Kaether C, Bolz J (2012) Disrupted-in-schizophrenia 1 (DISC1) is necessary for the correct migration of cortical interneurons. J Neurosci 32:738–745. doi:10.1523/JNEUROSCI.5036-11.2012 pmid:22238109
    OpenUrlAbstract/FREE Full Text
  89. ↵
    Swerdlow NR, Geyer MA, Braff DL (2001) Neural circuit regulation of prepulse inhibition of startle in the rat: Current knowledge and future challenges. Psychopharmacology (Berl) 156:194–215. doi:10.1007/s002130100799 pmid:11549223
    OpenUrlCrossRefPubMed
  90. ↵
    Taniguchi H, He M, Wu P, Kim S, Paik R, Sugino K, Kvitsiani D, Kvitsani D, Fu Y, Lu J, Lin Y, Miyoshi G, Shima Y, Fishell G, Nelson SB, Huang ZJ (2011) A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex. Neuron 71:995–1013. doi:10.1016/j.neuron.2011.07.026 pmid:21943598
    OpenUrlCrossRefPubMed
  91. ↵
    Wang Q, Charych EI, Pulito VL, Lee JB, Graziane NM, Crozier RA, Revilla-Sanchez R, Kelly MP, Dunlop AJ, Murdoch H, Taylor N, Xie Y, Pausch M, Hayashi-Takagi A, Ishizuka K, Seshadri S, Bates B, Kariya K, Sawa A, Weinberg RJ, Moss SJ, Houslay MD, Yan Z, Brandon NJ (2011) The psychiatric disease risk factors DISC1 and TNIK interact to regulate synapse composition and function. Mol Psychiatry 16:1006–1023. doi:10.1038/mp.2010.87 pmid:20838393
    OpenUrlCrossRefPubMed
  92. ↵
    Wei J, Graziane NM, Gu Z, Yan Z (2015) DISC1 protein regulates γ-aminobutyric acid, type A (GABAA) receptor trafficking and inhibitory synaptic transmission in cortical neurons. J Biol Chem 290:27680–27687. doi:10.1074/jbc.M115.656173 pmid:26424793
    OpenUrlAbstract/FREE Full Text
  93. ↵
    Welsh RC, Chen AC, Taylor SF (2010) Low-frequency BOLD fluctuations demonstrate altered thalamocortical connectivity in schizophrenia. Schizophr Bull 36:713–722. doi:10.1093/schbul/sbn145 pmid:18990709
    OpenUrlCrossRefPubMed
  94. ↵
    Woodward ND, Karbasforoushan H, Heckers S (2012) Thalamocortical dysconnectivity in schizophrenia. Am J Psychiatry 169:1092–1099. doi:10.1176/appi.ajp.2012.12010056 pmid:23032387
    OpenUrlCrossRefPubMed
  95. ↵
    Yizhar O, Fenno LE, Prigge M, Schneider F, Davidson TJ, O'Shea DJ, Sohal VS, Goshen I, Finkelstein J, Paz JT, Stehfest K, Fudim R, Ramakrishnan C, Huguenard JR, Hegemann P, Deisseroth K (2011) Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature 477:171–178. doi:10.1038/nature10360 pmid:21796121
    OpenUrlCrossRefPubMed
  96. ↵
    Zhang F, Wang LP, Boyden ES, Deisseroth K (2006) Channelrhodopsin-2 and optical control of excitable cells. Nat Methods 3:785–792. doi:10.1038/nmeth936 pmid:16990810
    OpenUrlCrossRefPubMed
  97. ↵
    Zhang F, Wang LP, Brauner M, Liewald JF, Kay K, Watzke N, Wood PG, Bamberg E, Nagel G, Gottschalk A, Deisseroth K (2007) Multimodal fast optical interrogation of neural circuitry. Nature 446:633–639. doi:10.1038/nature05744 pmid:17410168
    OpenUrlCrossRefPubMed
  98. ↵
    Zhou T, Zhu H, Fan Z, Wang F, Chen Y, Liang H, Yang Z, Zhang L, Lin L, Zhan Y, Wang Z, Hu H (2017) History of winning remodels thalamo-PFC circuit to reinforce social dominance. Science 357:162–168. doi:10.1126/science.aak9726 pmid:28706064
    OpenUrlAbstract/FREE Full Text

Synthesis

Reviewing Editor: Karen Szumlinski, University of California at 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.

Upon consultation with two expert reviewers, we have some to the decision of “Revise-Editorial Review Only” regarding your recent submission to eNeuro. All three of us agree that the report was very well-written, the data presented in a clear and concise manner. The Discussion, although lacking in some detail as highlighted by Reviewer 1 below, was thorough and well thought-out. Both reviewers and I agree that this report brings light to the regulation of MD-dAcc communication of relevance to neuropsychiatric phenotypes and we all agree that it is highly relevant to the readers of eNeuro. I have copied below the comments from both reviewers. As noted below, Reviewer 1 has some issues that we all agree should be addressed in a revised version of this report. I am happy to re-review this revision without further need for additional peer re-review.

Reviewer 1:

Manuscript eN-NWR-0496-19 looks at changes in inhibition in the prefrontal cortex (PFC) of mice heterozygous for a deficiency allele of the Disc1 gene (Disc1df/+). Changes in PFC excitation/inhibition balance are associated with behavioral deficits, and DISC1, although no longer considered a valid common risk gene for schizophrenia, has been raised as a tool for the study of endophenotypes of mental disorders. The authors used electrophysiology, viral and transgenic approaches to assess inhibition driven by parvalbumin (PV) and somatostatin (SOM) interneurons (INs), as well as mediodorsal thalamus projections onto PFC principal neurons (PNs). They saw that Disc1df/+ principal neurons in layer2/3 of dorsal ACC (dACC) had a reduction in mIPSC frequency at P70 and P15. Similarly, using PV or SOM-Cre animals and injection of cre-dependent AAV-ChR2 in PFC, they found an increase in paired pulse ratios derived from stimulation of PV (but not SOM) interneurons into L2/3 PNs in Disc1df/+ mice, consistent with a decrease in GABA release probability from PV interneurons onto PNs.

The next part of the manuscript is interested in characterizing the mediodorsal thalamus (MD) inputs to prefrontal cortex in Disc1df/+ mice, as this pathway has been implicated in working memory and cognitive flexibility deficits which are present in schizophrenia. They saw that MD-dACC relative inhibition was reduced in Disc1df/+ mice, consistent with a reduction in feedforward inhibition onto dACC PNs in this pathway. When they patched PV interneurons, they saw no difference in mEPSCs or intrinsic properties, indicating the deficit in feedforward inhibition is likely not being driven by changes in PV excitability. Using paired recordings and optogenetics, they also found that MD input into PV INs was larger than that to PNs in Disc1df/+ mice, which was equivalent for both cell types in wild type. They saw a similar increase in paired pulse ratios for MD-induced feedforward inhibition onto dACC PNs in Disc1df/+ mice, and a correlation between MD-evoked relative inhibition and FFI PPR in the mutants. Their data points to Disc1df/+ mice showing a general reduction in PV GABA release in dACC, contributing to a reduction in MD-dACC feedforward inhibition.

The manuscript conducts a very interesting and thorough characterization of inhibition in the dACC of Disc1df/+ mice. The cell-specific manipulations and MD-dACC experiments add important insight to the micro and some of the macrocircuit changes driven by this deletion. If accompanied by equivalent behavioral deficits in these animals, this would add important information to our understanding of the contribution of these circuits and DISC1 to cognitive function.

Major concerns:

My main concern relates to the framing and impact of the results. The authors provide a confusing rationale for the impact of this work. They acknowledge that DISC1 is no longer considered a major risk factor for schizophrenia, yet frame their MD-dACC experiments as pertinent to schizophrenia. They also say DISC1 seems to be interesting in relation to development, yet mostly look in adulthood. Clearer and more targeted background pertinent to the effects of DISC1 (and particular their DISC1 deletion) to the clinic and behavior would strengthen the manuscript. At present, their results are not directly anchored in the broader literature, and assessing their impact is challenging.

Specifically, the authors mention looking at the MD-dACC pathway due to its involvement in working memory and cognitive flexibility. However, it is not mentioned whether the Disc1df/+ mice show deficits in these behaviors. Have these mice been phenotyped at all in terms of behavior? How may these changes in physiology contribute to behavioral deficits, and how is that relevant to DISC1-related behavioral deficits in the clinic?

More detail on the precise timeline of viral infusion and age of the animals should be provided. Did experimental groups include animals with different delays between surgery and recording? In the methods, the authors state a delay of 2-4 weeks took place. The delay should be identical for all experiments, as it may affect synaptic responses. For ratios this is less of a concern, however it should be stated and ideally comparable between and within groups.

Minor concerns:

Line 306: “3)2)” - the 2) should be removed

Reviewer 2:

This manuscript details network function in layer 2/3 principal neurons of the medial prefrontal cortex and its input from the mediodorsal thalamus, and reveals dysregulation of parvalbumin interneuron function that occurs in Disc1 deficient mice. This work expands on recent studies investigating the impact of input from the MDThal on mPFC function. The manuscript is well-written, analyses conducted appropriately, and limitations recognized. The inclusion of a number of diverse synaptic properties reveals increased understanding of the MDThal-mPFC cirucit in both wild-type mice and identifies a precise impairment in the output of parvalbumin neurons in a relevant mouse model for psychiatric illness. I have no recommendations or comments that I would deem necessary in needing to be addressed and find the findings exciting and opening a diverse number of avenues for future investigation.

Back to top

In this issue

eneuro: 7 (2)
eNeuro
Vol. 7, Issue 2
March/April 2020
Email
Print
View Full Page PDF
Citation Tools
Respond to this article
Parvalbumin Interneuron Dysfunction in a Thalamo-Prefrontal Cortical Circuit in Disc1 Locus Impairment Mice
Kristen Delevich, Hanna Jaaro-Peled, Mario Penzo, Akira Sawa, Bo Li
eNeuro 6 February 2020, 7 (2) ENEURO.0496-19.2020; DOI: 10.1523/ENEURO.0496-19.2020
Twitter logo Facebook logo Mendeley logo

Jump to section

Keywords

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Subjects