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 ArticleNew Research, Neuronal Excitability

Sensory Neurons of the Dorsal Root Ganglia Become Hyperexcitable in a T-Cell-Mediated MOG-EAE Model of Multiple Sclerosis

Muhammad Saad Yousuf, Myung-chul Noh, Timothy N. Friedman, Kasia Zubkow, John Christy Johnson, Gustavo Tenorio, Harley T. Kurata, Peter A. Smith and Bradley J. Kerr
eNeuro 20 March 2019, 6 (2) ENEURO.0024-19.2019; https://doi.org/10.1523/ENEURO.0024-19.2019
Muhammad Saad Yousuf
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Muhammad Saad Yousuf
Myung-chul Noh
2Department of Pharmacology, University of Alberta, Edmonton, Alberta T6E 2H7, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Timothy N. Friedman
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kasia Zubkow
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John Christy Johnson
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gustavo Tenorio
3Department of Anesthesiology and Pain Medicine, University of Alberta, Edmonton, Alberta T6G 2G3, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Harley T. Kurata
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
2Department of Pharmacology, University of Alberta, Edmonton, Alberta T6E 2H7, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter A. Smith
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
2Department of Pharmacology, University of Alberta, Edmonton, Alberta T6E 2H7, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bradley J. Kerr
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
2Department of Pharmacology, University of Alberta, Edmonton, Alberta T6E 2H7, Canada
3Department of Anesthesiology and Pain Medicine, University of Alberta, Edmonton, Alberta T6G 2G3, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bradley J. Kerr
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    EAE-induced complement and inflammasome activation in the DRG. A–C, PCR analysis of lumbar DRGs from EAE animals revealed that the complement component 3 (C3), its receptor C3aR1, and component 5a receptor (C5aR1; also known as CD88) are transiently upregulated at the onset of disease as compared to CFA control samples. D, Similarly, mRNA transcripts of NLRP3, caspase-1, IL-1β, and IL-18 are also upregulated at disease onset only to taper off at the chronic time point 21 d post-induction. NLRP3 = NACHT, LRR, and PYD domains-containing protein 3; IL = interleukin. Bars indicate mean ± SEM; *,#p < 0.05; **,##p < 0.01; ***,###p < 0.001, one-way ANOVAs with Tukey’s post hoc analysis. CFA, n = 5; onset, n = 5; chronic, n = 5.

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

    Immune cells infiltrate the DRG in EAE. A–C, IHC analysis further confirmed that C5aR1+ immune cells, CD4+ T-cells, and Iba1+ macrophages infiltrate the DRG at EAE onset and retreat at the later, chronic disease stage. C5aR1 = complement 5a receptor; CD4 = cluster of differentiation 4; Iba1 = ionized calcium binding adapter molecule 1. Bars indicate mean ± SEM; *p < 0.05, **p < 0.01, ***p < 0.001, one-way ANOVAs with Tukey’s post hoc analysis. CFA, n = 5; onset, n = 5; chronic, n = 5.

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

    Myelin protein transcripts in the periphery are not significantly altered in EAE. A–F, mRNA transcripts of MBP, PMP22, and MPZ were not significantly altered in EAE. G–I, MBP, PMP22, and MOG transcripts were reduced at EAE onset in the dSC suggesting myelinopathy. Normalization of these transcripts was also observed chronically which may indicate repair mechanisms; *,#p < 0.05, one-way ANOVAs with Tukey’s post hoc analysis. A–C, CFA, n = 4; onset, n = 3; chronic, n = 3. D–I, CFA, n = 5; onset, n = 5; chronic, n = 5.

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

    Cellular injury marker, ATF3, is upregulated in the DRG of EAE animals. A–C, ATF3 expression in the nucleus of DRG neurons is induced with the onset of disease signs. P-NFH staining is used to identify neurons. C, The number of ATF3-positive neurons in the DRG were normalized to the area (in pixels) of the entire DRG. Bars indicate mean ± SEM; **p < 0.01, two-tailed unpaired t test with Welch’s correction. CFA, n = 5; EAE, n = 13.

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

    Cytoskeletal disruption of DRG neurons occurs late in the EAE disease course. A–F, Western blotting data suggest that cytoskeletal proteins remain intact at the onset of EAE symptoms and become impaired at the chronic time point. We observe a significant elevation in the level of the non-phosphorylated isoform of heavy-chain NFH at the chronic stage. On the contrary, a significant reduction in the levels of tau, kinesin, α-tubulin, and β-actin was detected chronically. G, H, Immunofluorescence staining of lumbar DRGs for the p-NFH revealed a significant reduction in fluorescence intensity in chronic samples (20.23 ± 1.976 a.u.) as compared to CFA control (29.26 ± 1.951 a.u.) and EAE onset samples (28.68 ± 1.581 a.u.). Furthermore, p-NFH staining in the soma of chronic DRG neurons displays aberrant morphology. a.u. = arbitrary units. Bars indicate mean ± SEM. O = onset; C = chronic; *,#p < 0.05, one-way ANOVAs with Tukey’s post hoc analysis. A–F, CFA, n = 5; onset, n = 4; chronic, n = 4. G, H, CFA, n = 4; onset, n = 6; chronic, n = 6.

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

    Larger diameter (≥26 µm) dissociated DRG neurons exhibit hyperexcitability. A, B, Labeling DRG sections from non-diseased control mice with p-NFH (also known as NF200) demonstrates that 90% of p-NFH+ cells are ≥26 µm, delineating smaller and larger cells. C, D, Dissociated DRG neurons from these animals exhibit aberrant firing properties under current ramp analysis. In particular, larger diameter (≥26 µm) EAE sensory neurons at disease onset have reduced rheobase and fire more APs with a current ramp of 1.5 and 2.0 nA than their CFA counterparts. EAE chronic DRG neurons also exhibit increased firing pattern at a current ramp of 2.0 nA but show an insignificant reduction in their rheobase. E, Sample 2.0-nA current ramp traces of dissociated DRG neurons. F–H, Half width of smaller diameter neurons (<26 µm) as well as cumulative latencies of APs remain relatively unchanged with EAE disease. I–K, Although spike width is unaffected in larger diameter neurons (≥26 µm), cumulative latencies are reduced with EAE disease indicating that APs fire quicker in succession with the onset of EAE. Other spike parameters are summarized in Table 3. C, *,#p < 0.05, Kruskal–Wallis H test. * CFA versus Onset; # CFA versus Chronic. D, **p < 0.01, one-way ANOVAs with Tukey’s post hoc analysis. K, *,#p < 0.05, two-way ANOVA with Tukey’s post hoc analysis. A, B, n = 5, 674 of 1055 cells were p-NFH+. C, D, <26 µm: CFA, n = 33; onset, n = 17; chronic, n = 27; ≥26 µm: CFA, n = 76; onset, n = 51; chronic, n = 94. G, CFA, n = 24; onset, n = 13; chronic, n = 27. H, CFA, n = 31; onset, n = 17; chronic, n = 25. J, CFA, n = 76; onset, n = 52; chronic, n = 94. K, CFA, n = 40; onset, n = 27; chronic, n = 44.

Tables

  • Figures
    • View popup
    Table 1.

    qRT-PCR primers used in this study

    Gene IDFWD/REVSequence (5’–3’)
    PpiaFWD GAGCTGTTTGCAGACAAAGTTC
    REV CCCTGGCACATGAATCCTGG
    C3FWD GAGGCACATTGTCGGTGGTG
    REV CCAGGATGGACATAGTGGCG
    C3ar1FWD CTCAGCAACTCGTCCAATGC
    REV CCATGGCTCAGTCAAGCACA
    C5ar1FWD CTTCCTTCAGAAGAGTTGCCTG
    REV AGCTGCTGTTATCTATGGGGTC
    Nlrp3FWD ATTACCCGCCCGAGAAAGG
    REV TCGCAGCAAAGATCCACACAG
    Casp1FWD ACAAGGCACGGGACCTATG
    REV TCCCAGTCAGTCCTGGAAATG
    Il1bFWD GCAACTGTTCCTGAACTCAACT
    REV ATCTTTTGGGGTCCGTCAACT
    Il18FWD ACTTTGGCCGACTTCACTGT
    REV GGGTTCACTGGCACTTTGAT
    MbpN/AQIAGEN, PPM04745F
    Pmp22N/AQIAGEN, PPM05053F
    MpzN/AQIAGEN, PPM41824A
    MogN/AQIAGEN, PPM33328B
    • View popup
    Table 2.

    Antibodies used in this study

    AntibodyHostSourceDilution factor
    CD4RtBio-Rad, MCA26911:200
    CD88 (C5aR1)RtBio-Rad, MCA2456GA1:500
    IBA-1RbWako, 019-197411:500
    p-NFH (IHC)CkThermoFisher, PA1-100021:5000
    ATF3 (IHC)RbSanta Cruz, SC-1881:200
    NFH (WB)MsCovance, 149744021:1000
    TauRbAbcam, ab641931:200
    KinesinMsMillipore, MAB16141:500
    α-TubulinRbCell Signalling, 21251:1000
    β-ActinMsSigma, A19781:2000
    Goat anti-mouse IgG HRPGtAbcam, ab67891:10,000
    Goat anti-rabbit IgG HRPGtAbcam, ab67211:10,000
    Goat anti-rabbit IgG AF488GtLife Technologies, A110081:200
    Goat anti-chicken IgY AF594GtLife Technologies, A110421:200
    Goat anti-rat IgG AF488GtLife Technologies, A110061:200
    • View popup
    Table 3.

    Various spike parameters of small (<26 µm) and large (≥26 µm) diameter DRG neurons obtained from CFA, EAE onset, and EAE chronic mice

    <26 µm≥26 µm
    Spike parameterCFAOnsetChronicCFAOnsetChronic
    Peak amplitude (mV)116.4 ± 2.159112.5 ± 2.437116.2 ± 2.42104.9 ± 1.796102.2 ± 2.066108.9 ± 1.362#
    Afterhyperpolarization Amplitude (mV)–14.38 ± 0.927–10.22 ± 1.223**–13.65 ± 0.525#–13.84 ± 0.598–12.18 ± 0.657–12.38 ± 0.483
    Half width (ms)&3.959 ± 0.4215.165 ± 0.9154.213 ± 0.3481.18 ± 0.1041.474 ± 0.1411.233 ± 0.083
    Rise slope (mV/ms)175.3 ± 22.5583.64 ± 6.219**143.1 ± 10.36##236.7 ± 14.12108.5 ± 4.298***218.8 ± 12.5###
    Decay slope (mV/ms)–62.46 ± 6.376–45.32 ± 8.131–55.19 ± 5.451–134.4 ± 5.835–96.5 ± 5.518***–120.4 ± 4.876#
    Rheobase (nA)&0.2625 ± 0.0170.3 ± 0.0230.3074 ± 0.0180.4697 ± 0.0280.349 ± 0.027**0.4138 ± 0.022
    • Mean ± SEM. One-way ANOVA followed by Tukey’s test performed within each group; *p < 0.05, **p < 0.01, ***p < 0.001, in comparison to CFA; #p < 0.05, ##p < 0.01, ###p < 0.001 in comparison to Onset. &Graphed in Figure 6.

    • View popup
    Table 4.

    Statistical analyses performed in this study

    FigureData structureStatistical testSample sizeStatistical data
    1Log2-transformed to normalize dataOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 5
    Onset: 5
    Chronic: 5
    A: F(2,12) = 17.78, p = 0.0003
    B: F(2,12) = 4.217, p = 0.0410
    C: F(2,12) = 8.126, p = 0.0059
    Di: F(2,12) = 34.37, p < 0.0001
    Dii: F(2,12) = 42.74, p < 0.0001
    Diii: F(2,12) = 42.83, p < 0.0001
    Div: F(2,12) = 9.410, p = 0.0035
    2ANormalOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 4
    Onset: 5
    Chronic: 5
    F(2,11) = 17.51, p = 0.0004
    2BNormalOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 5
    Onset: 5
    Chronic: 3
    F(2,10) = 6.254, p = 0.0173
    2CNormalOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 4
    Onset: 5
    Chronic: 4
    F(2,10) = 6.361, p = 0.0165
    3A–CLog2-transformed to normalize dataOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 4
    Onset: 3
    Chronic: 3
    A: F(2,7) = 0.9470, p = 0.4325
    B: F(2,7) = 2.747, p = 0.1317
    C: F(2,7) = 0.9616, p = 0.4276
    3D–ILog2-transformed to normalize dataOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 5
    Onset: 5
    Chronic: 5
    D: F(2,12) = 0.7474, p = 0.4944
    E: F(2,12) = 1.770, p = 0.2120
    F: F(2,12) = 0.8078, p = 0.4687
    G: F(2,12) = 10.52, p = 0.0023
    H: F(2,12) = 9.242, p = 0.0037
    I: F(2,12) = 12.56, p = 0.0011
    4CNon-normalTwo-tailed unpaired t test with Welch’s correctionCFA: 5
    EAE: 13
    t(12.41) = 3.237, p = 0.0069
    5A–ELog2-transformed to normalize dataOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 5
    Onset: 4
    Chronic: 4
    A: F(2,10) = 10.73, p = 0.0032
    B: F(2,10) = 29.40, p < 0.0001
    C: F(2,10) = 4.361, p = 0.0435
    D: F(2,10) = 25.80, p = 0.0001
    E: F(2,10) = 15.92, p = 0.0011
    5HNormalOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 4
    Onset: 6
    Chronic: 6
    F(2,13) = 7.750, p = 0.0061
    6CNon-parametricKruskal–Wallis H test<26 µm:
    CFA: 33
    Onset: 17
    Chronic: 27
    ≥26 µm:
    CFA: 76
    Onset: 51
    Chronic: 94
    <26 µm:
    H0.5nA(2) = 0.3138, p = 0.8548
    H1.0nA(2) = 0.1677, p = 0.9196
    H1.5nA(2) = 0.8715, p = 0.2750
    H2.0nA(2) = 0.9634, p = 0.6177
    ≥26 µm:
    H0.5nA(2) = 1.498, p = 0.4728
    H1.0nA(2) = 3.924, p = 0.1406
    H1.5nA(2) = 7.448, p = 0.0241
    H2.0nA(2) = 9.943, p = 0.0069
    6DNormalOne-way ANOVA
    (Tukey’s post hoc test)
    <26 µm:
    CFA: 24
    Onset: 13
    Chronic: 27
    ≥26 µm:
    CFA: 76
    Onset: 51
    Chronic: 94
    F<26µm(2,61) = 1.849, p = 0.1660
    F≥26µm(2,219) = 5.274, p = 0.0058
    6GNormalOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 24
    Onset: 13
    Chronic: 27
    F(2,61) = 1.238, p = 0.2971
    6HNormalTwo-way ANOVA (Tukey’s post hoc test)CFA: 31
    Onset: 17
    Chronic: 25
    Disease: F(2,444) = 2.740, p = 0.0657
    Spike number: F(7,444) = 25.00, p < 0.0001
    Interaction: F(14,444) = 0.1811, p = 0.9996
    6JNormalOne-way ANOVA
    (Tukey’s post hoc test)
    CFA: 76
    Onset: 52
    Chronic: 94
    F(2,219) = 1.832, p = 0.1625
    6KNormalTwo-way ANOVA (Tukey’s post hoc test)CFA: 40
    Onset: 27
    Chronic: 44
    Disease: F(2,708) = 38.03, p < 0.0001
    Spike number: F(7,708) = 11.82, p < 0.0001
    Interaction: F(14,708) = 0.6171, p = 0.8522
    Table 3Normal and non-normalOne-way ANOVA
    (Tukey’s post hoc test) or Kruskal–Wallis H test
    <26 µm:
    CFA: 24
    Onset: 13
    Chronic: 27
    ≥26 µm:
    CFA: 76
    Onset: 51
    Chronic: 94
    Peak amplitude:
    F<26µm(2,61) = 0.6022, p = 0.5508
    F≥26µm(2,219) = 3.883, p = 0.0220
    Afterhyperpolarization amplitude:
    F<26µm(2,61) = 5.211, p = 0.0081
    F≥26µm(2,219) = 2.481, p = 0.0860
    Half width (as plotted in Fig. 6):
    F<26µm(2,61) = 1.238, p = 0.2971
    F≥26µm(2,219) = 1.832, p = 0.1625
    Rise slope:
    H<26µm(2) = 14.44, p = 0.0007
    H≥26µm(2) = 50.99, p < 0.0001
    Decay slope:
    F<26µm(2,61) = 1.423, p = 0.2488
    F≥26µm(2,219) = 10.08, p < 0.0001
    Rheobase (as plotted in Fig. 6):
    F<26µm(2,61) = 1.849, p = 0.1660
    F≥26µm(2,219) = 5.274, p = 0.0058
Back to top

In this issue

eneuro: 6 (2)
eNeuro
Vol. 6, Issue 2
March/April 2019
  • 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.
Sensory Neurons of the Dorsal Root Ganglia Become Hyperexcitable in a T-Cell-Mediated MOG-EAE Model of Multiple Sclerosis
(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
Sensory Neurons of the Dorsal Root Ganglia Become Hyperexcitable in a T-Cell-Mediated MOG-EAE Model of Multiple Sclerosis
Muhammad Saad Yousuf, Myung-chul Noh, Timothy N. Friedman, Kasia Zubkow, John Christy Johnson, Gustavo Tenorio, Harley T. Kurata, Peter A. Smith, Bradley J. Kerr
eNeuro 20 March 2019, 6 (2) ENEURO.0024-19.2019; DOI: 10.1523/ENEURO.0024-19.2019

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
Sensory Neurons of the Dorsal Root Ganglia Become Hyperexcitable in a T-Cell-Mediated MOG-EAE Model of Multiple Sclerosis
Muhammad Saad Yousuf, Myung-chul Noh, Timothy N. Friedman, Kasia Zubkow, John Christy Johnson, Gustavo Tenorio, Harley T. Kurata, Peter A. Smith, Bradley J. Kerr
eNeuro 20 March 2019, 6 (2) ENEURO.0024-19.2019; DOI: 10.1523/ENEURO.0024-19.2019
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
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • DRG
  • EAE
  • electrophysiology
  • MS
  • pain

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

New Research

  • A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching
  • TrkB Signaling Influences Gene Expression in Cortistatin-Expressing Interneurons
  • Optogenetic Activation of β-Endorphin Terminals in the Medial Preoptic Nucleus Regulates Female Sexual Receptivity
Show more New Research

Neuronal Excitability

  • Galanin inhibits histaminergic neurons via galanin receptor 1
  • The Neurexin1β Histidine-Rich Domain Is Involved in Excitatory Presynaptic Organization and Short-Term Plasticity
  • Fast Spiking Interneurons Autonomously Generate Fast Gamma Oscillations in the Medial Entorhinal Cortex with Excitation Strength Tuning ING–PING Transitions
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.