Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2017-09-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/28974 |
| _version_ | 1818024078699659264 |
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| author | Michal Ramot Sara Kimmich Javier Gonzalez-Castillo Vinai Roopchansingh Haroon Popal Emily White Stephen J Gotts Alex Martin |
| author_facet | Michal Ramot Sara Kimmich Javier Gonzalez-Castillo Vinai Roopchansingh Haroon Popal Emily White Stephen J Gotts Alex Martin |
| author_sort | Michal Ramot |
| collection | DOAJ |
| description | 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 three 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. |
| first_indexed | 2024-12-10T03:54:30Z |
| format | Article |
| id | doaj.art-73390d4dbc9042e1b38a762765481cf4 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-12-10T03:54:30Z |
| publishDate | 2017-09-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-73390d4dbc9042e1b38a762765481cf42022-12-22T02:03:10ZengeLife Sciences Publications LtdeLife2050-084X2017-09-01610.7554/eLife.28974Direct modulation of aberrant brain network connectivity through real-time NeuroFeedbackMichal Ramot0https://orcid.org/0000-0001-9716-6469Sara Kimmich1Javier Gonzalez-Castillo2Vinai Roopchansingh3Haroon Popal4Emily White5Stephen J Gotts6Alex Martin7Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesFunctional MRI Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, United StatesThe 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 three 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.https://elifesciences.org/articles/28974neurofeedbackreal-time fMRIASD |
| spellingShingle | Michal Ramot Sara Kimmich Javier Gonzalez-Castillo Vinai Roopchansingh Haroon Popal Emily White Stephen J Gotts Alex Martin Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback eLife neurofeedback real-time fMRI ASD |
| title | Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback |
| title_full | Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback |
| title_fullStr | Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback |
| title_full_unstemmed | Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback |
| title_short | Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback |
| title_sort | direct modulation of aberrant brain network connectivity through real time neurofeedback |
| topic | neurofeedback real-time fMRI ASD |
| url | https://elifesciences.org/articles/28974 |
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