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Decreased integration of EEG source-space networks in disorders of consciousness
Increasing evidence links disorders of consciousness (DOC) with disruptions in functional connectivity between distant brain areas. However, to which extent the balance of brain network segregation and integration is modified in DOC patients remains unclear. Using high-density electroencephalography...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503216/ https://www.ncbi.nlm.nih.gov/pubmed/31063944 http://dx.doi.org/10.1016/j.nicl.2019.101841 |
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author | Rizkallah, Jennifer Annen, Jitka Modolo, Julien Gosseries, Olivia Benquet, Pascal Mortaheb, Sepehr Amoud, Hassan Cassol, Helena Mheich, Ahmad Thibaut, Aurore Chatelle, Camille Hassan, Mahmoud Panda, Rajanikant Wendling, Fabrice Laureys, Steven |
author_facet | Rizkallah, Jennifer Annen, Jitka Modolo, Julien Gosseries, Olivia Benquet, Pascal Mortaheb, Sepehr Amoud, Hassan Cassol, Helena Mheich, Ahmad Thibaut, Aurore Chatelle, Camille Hassan, Mahmoud Panda, Rajanikant Wendling, Fabrice Laureys, Steven |
author_sort | Rizkallah, Jennifer |
collection | PubMed |
description | Increasing evidence links disorders of consciousness (DOC) with disruptions in functional connectivity between distant brain areas. However, to which extent the balance of brain network segregation and integration is modified in DOC patients remains unclear. Using high-density electroencephalography (EEG), the objective of our study was to characterize the local and global topological changes of DOC patients' functional brain networks. Resting state high-density-EEG data were collected and analyzed from 82 participants: 61 DOC patients recovering from coma with various levels of consciousness (EMCS (n = 6), MCS+ (n = 29), MCS- (n = 17) and UWS (n = 9)), and 21 healthy subjects (i.e., controls). Functional brain networks in five different EEG frequency bands and the broadband signal were estimated using an EEG connectivity approach at the source level. Graph theory-based analyses were used to evaluate their relationship with decreasing levels of consciousness as well as group differences between healthy volunteers and DOC patient groups. Results showed that networks in DOC patients are characterized by impaired global information processing (network integration) and increased local information processing (network segregation) as compared to controls. The large-scale functional brain networks had integration decreasing with lower level of consciousness. |
format | Online Article Text |
id | pubmed-6503216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65032162019-05-10 Decreased integration of EEG source-space networks in disorders of consciousness Rizkallah, Jennifer Annen, Jitka Modolo, Julien Gosseries, Olivia Benquet, Pascal Mortaheb, Sepehr Amoud, Hassan Cassol, Helena Mheich, Ahmad Thibaut, Aurore Chatelle, Camille Hassan, Mahmoud Panda, Rajanikant Wendling, Fabrice Laureys, Steven Neuroimage Clin Regular Article Increasing evidence links disorders of consciousness (DOC) with disruptions in functional connectivity between distant brain areas. However, to which extent the balance of brain network segregation and integration is modified in DOC patients remains unclear. Using high-density electroencephalography (EEG), the objective of our study was to characterize the local and global topological changes of DOC patients' functional brain networks. Resting state high-density-EEG data were collected and analyzed from 82 participants: 61 DOC patients recovering from coma with various levels of consciousness (EMCS (n = 6), MCS+ (n = 29), MCS- (n = 17) and UWS (n = 9)), and 21 healthy subjects (i.e., controls). Functional brain networks in five different EEG frequency bands and the broadband signal were estimated using an EEG connectivity approach at the source level. Graph theory-based analyses were used to evaluate their relationship with decreasing levels of consciousness as well as group differences between healthy volunteers and DOC patient groups. Results showed that networks in DOC patients are characterized by impaired global information processing (network integration) and increased local information processing (network segregation) as compared to controls. The large-scale functional brain networks had integration decreasing with lower level of consciousness. Elsevier 2019-04-29 /pmc/articles/PMC6503216/ /pubmed/31063944 http://dx.doi.org/10.1016/j.nicl.2019.101841 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Rizkallah, Jennifer Annen, Jitka Modolo, Julien Gosseries, Olivia Benquet, Pascal Mortaheb, Sepehr Amoud, Hassan Cassol, Helena Mheich, Ahmad Thibaut, Aurore Chatelle, Camille Hassan, Mahmoud Panda, Rajanikant Wendling, Fabrice Laureys, Steven Decreased integration of EEG source-space networks in disorders of consciousness |
title | Decreased integration of EEG source-space networks in disorders of consciousness |
title_full | Decreased integration of EEG source-space networks in disorders of consciousness |
title_fullStr | Decreased integration of EEG source-space networks in disorders of consciousness |
title_full_unstemmed | Decreased integration of EEG source-space networks in disorders of consciousness |
title_short | Decreased integration of EEG source-space networks in disorders of consciousness |
title_sort | decreased integration of eeg source-space networks in disorders of consciousness |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503216/ https://www.ncbi.nlm.nih.gov/pubmed/31063944 http://dx.doi.org/10.1016/j.nicl.2019.101841 |
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