Direct modulation of aberrant brain network connectivity through real-time neurofeedback

  1. Michal Ramot  Is a corresponding author
  2. Sara Kimmich
  3. Javier Gonzalez-Castillo
  4. Vinai Roopchansingh
  5. Haroon Popal
  6. Emily White
  7. Stephen J Gotts
  8. Alex Martin
  1. National Institute of Mental Health, National Institutes of Health, United States

Abstract

The existence of abnormal connectivity patterns between resting state networks in neuropsychiatric disorders, including Autism Spectrum Disorder (ASD), has been well established. Traditional treatment methods in ASD are limited, and do not address the aberrant network structure. Using real-time fMRI neurofeedback, we directly trained 3 brain nodes in participants with ASD, in which the aberrant connectivity has been shown to correlate with symptom severity. Desired network connectivity patterns were reinforced in real-time, without participants' awareness of the training taking place. This training regimen produced large, significant long-term changes in correlations at the network level, and whole brain analysis revealed that the greatest changes were focused on the areas being trained. These changes were not found in the control group. Moreover, changes in ASD resting state connectivity following the training were correlated to changes in behavior, suggesting that neurofeedback can be used to directly alter complex, clinically relevant network connectivity patterns.

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The following data sets were generated

Article and author information

Author details

  1. Michal Ramot

    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    For correspondence
    michal.ramot@nih.gov
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9716-6469
  2. Sara Kimmich

    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Javier Gonzalez-Castillo

    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Vinai Roopchansingh

    Functional MRI Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Haroon Popal

    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Emily White

    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Stephen J Gotts

    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Alex Martin

    Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.

Funding

National Institute of Mental Health (ZIAMH002920)

  • Michal Ramot
  • Sara Kimmich
  • Haroon Popal
  • Emily White
  • Stephen J Gotts
  • Alex Martin

National Institute of Mental Health (ZIAMH002783)

  • Javier Gonzalez-Castillo
  • Vinai Roopchansingh

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

Reviewing Editor

  1. Nicholas Turk-Browne, Princeton University, United States

Ethics

Human subjects: The experiment was approved by the NIMH Institutional Review Board, protocol number 10-M-0027, clinical trials number NCT01031407. Written informed consent and consent to publish were obtained from all participants. All procedures performed were in accordance with ethical standards set out by the Federal Policy for the Protection of Human Subjects (or 'Common Rule', U.S. Department of Health and Human Services Title 45 DFR 46).

Version history

  1. Received: May 25, 2017
  2. Accepted: August 30, 2017
  3. Accepted Manuscript published: September 16, 2017 (version 1)
  4. Version of Record published: October 3, 2017 (version 2)
  5. Version of Record updated: August 3, 2018 (version 3)

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.

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  1. Michal Ramot
  2. Sara Kimmich
  3. Javier Gonzalez-Castillo
  4. Vinai Roopchansingh
  5. Haroon Popal
  6. Emily White
  7. Stephen J Gotts
  8. Alex Martin
(2017)
Direct modulation of aberrant brain network connectivity through real-time neurofeedback
eLife 6:e28974.
https://doi.org/10.7554/eLife.28974

Share this article

https://doi.org/10.7554/eLife.28974

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