Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleResearch Article: New Research, Neuronal Excitability

Differential Modes of Action of α1- and α1γ2-Autoantibodies Derived from Patients with GABAAR Encephalitis

Adriana C. M. van Casteren, Frauke Ackermann, Kazi Atikur Rahman, Ewa Andrzejak, Christian Rosenmund, Jakob Kreye, Harald Prüss, Craig C. Garner and Aleksandra Ichkova
eNeuro 29 November 2022, 9 (6) ENEURO.0369-22.2022; https://doi.org/10.1523/ENEURO.0369-22.2022
Adriana C. M. van Casteren
1Neurowissenschaftliches Forschungszentrum (NWFZ), Charité–Universitätsmedizin, Berlin 10117, Germany
2NeuroCure Cluster of Excellence, Charité–Universitätsmedizin, Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Frauke Ackermann
3German Center for Neurodegenerative Diseases (DZNE), Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Frauke Ackermann
Kazi Atikur Rahman
1Neurowissenschaftliches Forschungszentrum (NWFZ), Charité–Universitätsmedizin, Berlin 10117, Germany
4Einstein Center for Neurosciences Berlin, Charité- Universitätsmedizin, Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ewa Andrzejak
3German Center for Neurodegenerative Diseases (DZNE), Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christian Rosenmund
2NeuroCure Cluster of Excellence, Charité–Universitätsmedizin, Berlin 10117, Germany
5Institute of Neurophysiology, Charité–Universitätsmedizin, Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christian Rosenmund
Jakob Kreye
3German Center for Neurodegenerative Diseases (DZNE), Berlin 10117, Germany
6Department of Neurology and Experimental Neurology, Charité–Universitätsmedizin, Berlin 10117, Germany
7Department of Pediatric Neurology, Charité–Universitätsmedizin, Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Harald Prüss
3German Center for Neurodegenerative Diseases (DZNE), Berlin 10117, Germany
6Department of Neurology and Experimental Neurology, Charité–Universitätsmedizin, Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Craig C. Garner
2NeuroCure Cluster of Excellence, Charité–Universitätsmedizin, Berlin 10117, Germany
3German Center for Neurodegenerative Diseases (DZNE), Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Craig C. Garner
Aleksandra Ichkova
3German Center for Neurodegenerative Diseases (DZNE), Berlin 10117, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Extended Data
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    α1-antibody affects receptor distribution over time. A, Staining of cortical-striatal cultures (1:3) with MAP2 (white), VGAT (green), and α1-antibody (red) after 1-h α1-antibody incubation at 15°C and for 24 h at 37°C; scale bar: 20 μm. B, Close-up of boxed area in A, showing synaptic colocalization between VGAT and α1-antibody; scale bar: 10 μm. C, Over time, the α1-antibody leads to reductions in percentage of synapses covered with α1-antibody puncta, t(146.4) = 6.664, p < 0.0001, Welch’s t test, while (D) the α1-antibody can be found equally at synaptic and extrasynaptic sites over time, t(121) = 0.691, p = 0.4907, Welch’s t test. In addition, (E) long antibody incubation (24 h) leads to reductions in overall α1-antibody intensity, t(148.5) = 4.11, p < 0.0001, Welch’s t test, (F) because of reduction in intensity at synaptic sites, t(136.4) = 3.701, p = 0.0003, Welch’s t test, (G) and extrasynaptic sites t(129.8) = 2.329, p = 0.0214, Welch’s t test. H, Overall, VGAT intensity is also decreased over time, t(156.1) = 2.479, p = 0.0142, Welch’s t test. This is also seen in histograms when VGAT intensity is plotted against the α1-antibody intensity at 1 h (I) versus at 24 h (J), where we observed a reduction in the slope of the correlation because of a decrease in α1-antibody intensity. Each data point represents one ROI, except in I and J, where each data point represents a synapse. Error bars represent SEM.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    α1γ2-antibody stains neurons in a GABAAR-specific pattern. A, Staining of cortical-striatal cultures (1:3) with MAP2 (white), VGAT (green), and α1γ2-antibody (red) after 1-h α1γ2-antibody incubation at 15°C or for 24 h at 37°C; scale bar: 20 μm. B, Close-up of boxed area, showing synaptic colocalization between VGAT and α1γ2-antibody positive puncta; scale bar: 10 μm. C, After incubation with the α1γ2-antibody, we observed that the percentage of VGAT puncta colocalizing with α1γ2-antibody puncta remain similar from 1 to 24 h, t(163) = 1.62, p = 0.1072, unpaired t test, (D) as do the percentage of α1-antibody puncta that colocalize with VGAT puncta over time, t(161) = 0.9327 p = 0.3524, unpaired t test. E, Over time (24 h), the α1γ2-antibody addition is associated with increases in α1γ2-antibody puncta intensity, t(109.8) = 3.702, p = 0.0003, Welch’s t test. When we split α1γ2-puncta intensity based on colocalization with VGAT puncta, we see an increase in both synaptic (F), t(100.7) = 4.442, p < 0.0001, Welch’s t test, and extrasynaptic α1γ2-antibody intensity (G), t(81.46) = 3.243, p = 0.0017, Welch’s t test. H, However, the α1γ2-antibody does not alter VGAT intensity t(158.4) = 0.4497, p = 0.6535, Welch’s t test. In histograms comparing VGAT versus α1γ2-antibody puncta intensity at 1 h (I) versus at 24 h (J), we observe no difference in the slope of the correlation, although auto-antibody intensity increases. Each data point represents one ROI, except in I and J, where each data point represents a synapse. Error bars represent SEM.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    α1-antibody but not the α1γ2-antinbody reduces GABAergic currents after a 24-h treatment. A, Staining of striatal autaptic neurons with MAP2 (white) and VGAT (green); scale bar: 20 μm. B, Example IPSC traces for each condition. C, Quantification of IPSC amplitude shows that autaptic neurons treated with α1-antibody for 24 h have reduced synaptic IPSC amplitudes, H(3) = 17.78, p = 0.0005, Kruskal–Wallis; untreated 1 ± 0.10 versus α1-antibody 0.56 ± 0.15, p = 0.0009, control 1.04 ± 0.14 versus α1-antibody p = 0.0053, (D) and longer decay times, H(3) = 9.79, p = 0.0205, Kruskal–Wallis; untreated 118.4 ± 5.93 ms versus α1-antibody 186.3 ± 17.68 ms, p = 0.0202. E, Example traces current induced after bath application of 5 μm GABA show (F) that the presence of α1-antibody leads to reductions in GABA currents H(3) = 25.28, p < 0.0001, Kruskal–Wallis; untreated 1 ± 0.06 versus α1-antibody 0.6 ± 0.05 p < 0.0001, control 0.99 ± 0.07 versus α1-antiody p = 0.0002, α1-antibody versus α1γ2-antibody 0.96 ± 0.09 p = 0.0054. G, It does not affect excitatory currents induced by bath application of Kainate, H(3) = 0.52, p = 0.9135, Kruskal–Wallis. H, Representative traces of currents induced following the addition of sucrose show (I) that the ready releasable pool (RRP) is decreased in the presence of the α1-antibody, H(3) = 16.2, p = 0.0003, Kruskal–Wallis; untreated 1 ± 0.15 versus α1-antibody 0.40 ± 0.08 p = 0.0025, control 1.21 ± 0.22 versus α1-antibody p = 0.0009, (J) but that release probability (Pvr) is not affected, H(3) = 1.59, p = 0.4506, Kruskal–Wallis. Example traces of mIPSCs (K) show that (L) frequency was reduced after α1-antibody incubation compared with control-antibody conditions, H(3) = 10.49, p = 0.0149, Kruskal–Wallis; control 1.42 ± 0.32 Hz versus α1-antibody 0.46 ± 0.14 Hz p = 0.0151, (M) but mIPSC amplitude remained the same, H(3) = 6.94, p = 0.0737, Kruskal–Wallis. Incubation with the α1γ2-antibody (K–M) does not lead to any differences in synaptic currents. Each data point represents one cell. Error bars represent SEM.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Cortical-striatal neuron network activity increases after a 24 h treatment with α1-antibody but not the α1γ2-antibody. Examples of network activity, based on the frequency of calcium transients, 24 h after antibody treatment (A) and directly after the addition of 30 μm bicuculline (B). C–G, The average spiking frequency per field of view per condition shows that the addition of bicuculline leads to higher average spike frequency for all conditions, untreated 9.30 ± 0.47 Hz versus bicuculline 18.86 ± 1.22 Hz, t(32) = 7.64, p < 0.0001; control-antibody 9.17 ± 0.55 Hz versus bicuculline 20.18 ± 0.99 Hz, t(26) = 10.34, p < 0.0001; α1-antibody 13.76 ± 0.58 Hz versus bicuculline 17.05 ± 0.69, Hz t(32) = 3.29, p = 0.0024; α1γ2-antibody 9.30 ± 7.61 Hz versus bicuculline 21.91 ± 1.08 Hz, t(26) = 11.04, p < 0.0001; α1γ2-antibody 5 μg 9.79 ± 0.54 Hz versus bicuculline 23.9 ± 1.31 Hz, t(20) = 9.80, p < 0.0001; all paired t tests. H, However, under conditions treated with α1-antibody for 24 h (A) spiking starts off with a higher average frequency, H(4) = 29.62, p < 0.0001, Kruskal–Wallis; untreated 9.58 ± 0.47 Hz versus α1-antibody 14.03 ± 0.66 Hz p < 0.0001, control 9.68 ± 0.53 Hz versus α1-antibody p < 0.0001, α1-antibody versus α1γ2-antibody 10.68 ± 0.79 Hz p = 0.0010, α1-antibody versus α1γ2-antibody 5 μg 9.79 ± 0.54 p = 0.0026, (I) and shows a smaller percentage increase after the addition of bicuculline compared with other conditions, F(4,127) = 9.46, p < 0.0001, ANOVA; untreated 123.5 ± 15.01% versus α1-antibody 42.7 ± 9.66% p = 0.0017, control 136.6 ± 16.16% versus α1-antibody p = 0.0002, α1-antibody versus α1γ2-antibody 155 ± 16.01% p < 0.0001, α1-antibody versus α1γ2-antibody 5 μg 160.8 ± 20.02% p < 0.0001. Example images of a low (J) and high (K) network spiking activity; scale bar: 40 μm. Each data point represents the average spiking activity of one ROI. Error bars represent SEM.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    α1-antibody but not α1γ2-antibody reduce GABA currents after a 1-h incubation. Example traces of mIPSC frequency (A) and amplitude (B). C, mIPSCs recorded 1 h after antibody treatment show reduction in frequency, F(3,116) = 7.10, p = 0.0002, ANOVA; untreated 4.62 ± 0.41 Hz versus α1-antibody 2.10 ± 0.41 Hz p = 0.0002, control 3.90 ± 0.50 Hz versus α1-antibody p = 0.0141, α1-antibody versus α1γ2-antibody 4.18 ± 0.32 Hz p = 0.0033, (D) and amplitude for the α1-antibody compared with other groups, F(3,112) = 5.27 p = 0.0020, ANOVA; untreated 42.97 ± 3.24 pA versus α1-antibody 27.45 ± 2.71 pA p = 0.0058, control 44.03 ± 3.87 pA versus α1-antibody p = 0.0030. E, mIPSC charge only showed a difference between α1 and control-antibody, F(3,112) = 3.52, p = 0.0174, ANOVA; control 707.3 ± 64.83 fC versus α1-antibody 475.5 ± 45.19 fC p = 0.0161. F, However, rise time, H(3) = 4.22, p = 0.2385, Kruskal–Wallis, (G) half width, H(3) = 1.23, p = 0.7452, Kruskal–Wallis, (H) and decay time, even for the α1-antibody, were not affected, H(3) = 2.79, p = 0.425, Kruskal–Wallis. Data points represent one cell each. Error bars represent SEM.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    α1-antibody elicits rapid effects on cortical-striatal calcium transients. A, Example spike frequency plots and quantification (B) of network spiking activity shows that 1 h after α1-antibody is added, activity is increased compared with other conditions, H(3) = 40.12, p < 0.0001, Kruskal–Wallis; untreated 13.98 ± 1.21 Hz versus α1-antibody 32.46 ± 2.58 Hz p < 0.0001, control 17.64 ± 1.93 Hz versus α1-antibody p = 0.0001, α1-antibody versus α1γ2-antibody 5 μg 12.87 ± 1.13 Hz p < 0.0001. This effect was not reversible by antibody washout (Extended Data Fig. 6-1). When the α1-antibody is added for only 12 min to cortical-striatal cultures (C, example plots), there is a significant increase in spiking frequency, already after 2 min, compared with other conditions (D) that is sustained for the full 12 min, F(1,29) = 10.82, p = 0.0026, repeated measures two-way ANOVA. The dotted vertical line indicates when antibody is added to the culture. Addition of an Fab fragment from the α1-antibody (E) similarly induces an increase in spike frequency that keeps rising up till 4 min after addition, even higher than the full-length antibody, and then slowly declines, although not all the way back to control level over the course of 12 min (F), F(1,33) = 18.27, p = 0.0002, repeated measures two-way ANOVA. Each data point represents the average spiking activity of one field of view. Error bars represent SEM.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    α1-antibody and α1γ2-antibody do not alter the effect of benzodiazepine. Example traces (A) and quantification (B–F) show that in all conditions, the addition of 1 μm diazepam (DZP) is still able to increase the half width of mIPSCs. C–F, show the individual increase in half width of each cell per condition [untreated (C): t(29) = 7.991, p < 0.0001, paired t test; untreated base 12.27 ± 0.49 ms, untreated benzo 14.46 ± 0.57 ms; control-antibody (D): t(28) = 10.32, p < 0.0001, paired t test; control-antibody base 12.77 ± 0.57 ms, control-antibody benzo 15.74 ± 0.66 ms; α1-antibody (E): t(28) = 4.30, p = 0.0002, paired t test; α1-antibody base 12.69 ± 0.82 ms, α1-antibody benzo 15.08 ± 0.75 ms; α1γ2-antibody (F): t(29) = 8.73, p < 0.0001, paired t test; α1γ2-antibody base 13.14 ± 0.67 ms, α1γ2-antibody benzo 15.8 ± 0.61 ms]. B, Quantitation of half-widths ratio (calculated as halfwidth with diazepine/halfwidth baseline). A value above 1 indicates an increase (H(3) = 5.03, p = 0.1694, Kruskal–Wallis; untreated 1.18 ± 0.02, control-antibody 1.25 ± 0.02, α1-antibody 1.52 ± 0.27, α1γ2-antibody 1.22 ± 0.02). Each data point represents the average half-width of mIPSCs per cell. Error bars represent SEM.

  • Figure 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 8.

    Difference in network reaction to diazepam when treated with the α1-antibody but not α1γ2-antibody. Example traces of calcium transient spiking activity 1 h after the addition of α1-antibody, α1γ2-antibody, or control-antibody (A). Example traces of network spiking activity after addition of 1 μm diazepam to the cultures shown in A (B). Example traces of network spiking activity after addition of 30 μm bicuculline to the cultures shown in B (C). D–G, Average spiking activity in each field of view (∼15 cells) in baseline, diazepam, and bicuculline condition for each experimental group shows spiking responses to these drugs [untreated (D): F(2,52) = 129.8, p < 0.0001, repeated measures ANOVA; base 13.94 ± 1.22 Hz vs benzo 2.03 ± 0.53 Hz p < 0.0001, base vs bic 38.93 ± 3.04 Hz p < 0.0001, benzo vs bic <0.0001; control-antibody (E): F(2,52) = 91.27, p < 0.0001 repeated measures ANOVA; base 17.64 ± 1.93 Hz vs benzo 5.78 ± 1.44 Hz p = 0.0003, base vs bic 43.08 ± 3.70 Hz p < 0.0001, benzo vs bic p < 0.0001; α1-antibody (F): F(2,52) = 67.03, p < 0.0001, repeated measures ANOVA; base 32.46 ± 2.58 Hz vs benzo 19.7 ± 3.64 Hz p = 0.0001, base vs bic 52.87 ± 3.14 Hz p < 0.0001, benzo vs bic p < 0.0001; α1γ2-antibody 5 μg (G): F(2,52) = 94.32, p < 0.0001, repeated measures ANOVA; base 12.87 ± 1.16 Hz vs benzo 4.64 ± 1.06 Hz p = 0.0084, base vs bic 39.38 ± 3.34 Hz p < 0.0001, benzo vs bic p < 0.0001]. H, Quantification of percent changes in spiking activity following the addition of 1 μm diazepam. Here, diazepam leads to a ∼75% reduction in spiking activity compared with cultures without diazepam (Fig. 6B), with the exception to the α1-antibody condition where the reduction was significantly smaller (∼50%) H(3) = 14.67, p = 0.0021, Kruskal–Wallis; untreated −86.29 ± 3.37% versus α1-antibody −48.32 ± 7.49% p = 0.0024, control −76.37 ± 5.46% versus α1-antibody p = 0.0148. I, Quantification of percent changes in spiking activity following the addition of 30 μm bicuculline. This leads to an ∼200% increase in network activity compared with baseline (Fig. 6B) for all groups except for α1-antibody condition, where the increase is only 80%, H(3) = 22.77, p < 0.0001, Kruskal–Wallis; untreated versus α1-antibody p = 0.0007, control versus α1-antibody p = 0.0141, α1-antibody versus α1γ2-antibody p < 0.0001. Error bars represent SEM.

Extended Data

  • Figures
  • Extended Data Figure 6-1

    Effects of α1-antibody 6 h after antibody washout. Example of neurons stained for MAP2 (white), α1-antibody (red), VGAT (blue), and Merge (α1-antibody and VGAT) 6 h after antibody washout (A). Example spike plots of untreated (B) and α1-antibody-treated (C) cortical-striatal cultures during calcium imaging experiments. D, Spiking frequency is still increased 6 h after α1-antibody washout t(52) = 11.51, p < 0.0001, t test, untreated 12.24 ± 0.98 Hz, α1-antibody 36.71 ± 1.88 Hz. E, Example mIPSC traces. Even 6 h after α1-antibody removal, we see decreases in frequency t(58) = 3.838, p = 0.0003, t test, untreated 3.35 ± 0.36 Hz, α1-antibody 1.56 ± 0.30 Hz, (F) amplitude t(46.71) = 4.44, p < 0.0001, Welch’s t test, untreated 36.65 ± 2.86 pA, α1-antibody 21.93 ± 1.68 pA, (G) charge t(57) = 4.77, p < 0.0001, t test, untreated 655.8 ± 53.81 fC, α1-antibody 345.6 ± 35.69 fC, (H) half-width t(58) = 2.426, p = 0.0184, t test, untreated 13.35 ± 0.46 ms, α1-antibody 11.26 ± 0.73 ms, (J) and decay time t(58) = 3.414, p = 0.0012, t test, untreated 37.57 ± 1.38 ms, α1-antibody 29.07 ± 2.07 ms (K), and an increase in rise time t(30.38) = 2.976, p = 0.0057, Welch’s t test, untreated 0.72 ± 0.03 ms, α1-antibody 1.2 ± 0.16 ms (I). Download Figure 6-1, TIF file.

Back to top

In this issue

eneuro: 9 (6)
eNeuro
Vol. 9, Issue 6
November/December 2022
  • Table of Contents
  • Index by author
  • Ed Board (PDF)
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Differential Modes of Action of α1- and α1γ2-Autoantibodies Derived from Patients with GABAAR Encephalitis
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Differential Modes of Action of α1- and α1γ2-Autoantibodies Derived from Patients with GABAAR Encephalitis
Adriana C. M. van Casteren, Frauke Ackermann, Kazi Atikur Rahman, Ewa Andrzejak, Christian Rosenmund, Jakob Kreye, Harald Prüss, Craig C. Garner, Aleksandra Ichkova
eNeuro 29 November 2022, 9 (6) ENEURO.0369-22.2022; DOI: 10.1523/ENEURO.0369-22.2022

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Differential Modes of Action of α1- and α1γ2-Autoantibodies Derived from Patients with GABAAR Encephalitis
Adriana C. M. van Casteren, Frauke Ackermann, Kazi Atikur Rahman, Ewa Andrzejak, Christian Rosenmund, Jakob Kreye, Harald Prüss, Craig C. Garner, Aleksandra Ichkova
eNeuro 29 November 2022, 9 (6) ENEURO.0369-22.2022; DOI: 10.1523/ENEURO.0369-22.2022
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgments
    • Footnotes
    • References
    • Synthesis
    • Author Response
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • autoantibodies
  • autoimmune encephalitis
  • cortical/striatal neurons
  • GABAAR
  • network excitability

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: New Research

  • Fast spiking interneurons autonomously generate fast gamma oscillations in the medial entorhinal cortex with excitation strength tuning ING–PING transitions
  • The serotonin 1B receptor modulates striatal activity differentially based on behavioral context
  • Population-level age effects on the white matter structure subserving cognitive flexibility in the human brain
Show more Research Article: New Research

Neuronal Excitability

  • Fast spiking interneurons autonomously generate fast gamma oscillations in the medial entorhinal cortex with excitation strength tuning ING–PING transitions
  • Altered Excitability and Glutamatergic Synaptic Transmission in the Medium Spiny Neurons of the Nucleus Accumbens in Mice Deficient in the Heparan Sulfate Endosulfatase Sulf1
  • Intrinsic Cell-Class–Specific Modulation of Intracellular Chloride Levels and Inhibitory Function, in Cortical Networks, between Day and Night
Show more Neuronal Excitability

Subjects

  • Neuronal Excitability
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2026 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.