Oligodendrocyte-mediated myelin plasticity and its role in neural synchronization

  1. Sinisa Pajevic  Is a corresponding author
  2. Dietmar Plenz
  3. Peter J Basser
  4. R Douglas Fields
  1. National Institute of Mental Health, United States
  2. Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States

Abstract

Temporal synchrony of signals arriving from different neurons or brain regions is essential for proper neural processing. Nevertheless, it is not well understood how such synchrony is achieved and maintained in a complex network of time-delayed neural interactions. Myelin plasticity, accomplished by oligodendrocytes (OLs), has been suggested as an efficient mechanism for controlling timing in brain communications through adaptive changes of axonal conduction velocity and consequently conduction time delays, or latencies; however, local rules and feedback mechanisms that OLs use to achieve synchronization are not known. We propose a mathematical model of oligodendrocyte-mediated myelin plasticity (OMP) in which OLs play an active role in providing such feedback. This is achieved without using arrival times at the synapse or modulatory signaling from astrocytes; instead, it relies on the presence of global and transient OL responses to local action potentials in the axons they myelinate. While inspired by OL morphology, we provide the theoretical underpinnings that motivated the model and explore its performance for a wide range of its parameters. Our results indicate that when the characteristic time of OL’s transient intracellular responses to neural spikes is between 10 and 40 ms and the firing rates in individual axons are relatively low (⪅ 10 Hz), the OMP model efficiently synchronizes correlated and time-locked signals while latencies in axons carrying independent signals are unaffected. This suggests a novel form of selective synchronization in the CNS in which oligodendrocytes play an active role by modulating the conduction delays of correlated spike trains as they traverse to their targets.

Data availability

All results shown in our figures are produced via computer simulations of our model. The code and the scripts that generated these results are provided on GitHub https://github.com/pajevic/OMPmodel. The only data shown that are not the result of our simulations are the images in panels A and B of Figure 1, which are reused with permission, as they also appeared in another publication.

Article and author information

Author details

  1. Sinisa Pajevic

    Section on Critical Brain Dynamics, National Institute of Mental Health, Bethesda, United States
    For correspondence
    pajevic@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8880-3320
  2. Dietmar Plenz

    Section on Critical Brain Dynamics, National Institute of Mental Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0008-3657
  3. Peter J Basser

    Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4795-6088
  4. R Douglas Fields

    Nervous System Development and Plasticity Section, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.

Funding

Intramural Research Program of NIMH/NIH (ZIAMH002797)

  • Dietmar Plenz

Intramural Research Program of NICHD/NIH (ZIAHD000713)

  • R Douglas Fields

Intramural Research Program of NICHD/NIH (1ZIAHD008972-04)

  • Peter J Basser

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Inna Slutsky, Tel Aviv University, Israel

Version history

  1. Preprint posted: July 3, 2022 (view preprint)
  2. Received: July 19, 2022
  3. Accepted: March 15, 2023
  4. Accepted Manuscript published: March 28, 2023 (version 1)
  5. Version of Record published: April 26, 2023 (version 2)

Copyright

This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Metrics

  • 1,515
    views
  • 295
    downloads
  • 2
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Sinisa Pajevic
  2. Dietmar Plenz
  3. Peter J Basser
  4. R Douglas Fields
(2023)
Oligodendrocyte-mediated myelin plasticity and its role in neural synchronization
eLife 12:e81982.
https://doi.org/10.7554/eLife.81982

Share this article

https://doi.org/10.7554/eLife.81982