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The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study

BACKGROUND AND OBJECTIVES: The resting‐state brain is composed of several discrete networks, which remain stable for 10–100 ms. These functional microstates are considered the building blocks of spontaneous consciousness. Electroencephalography (EEG) microstate analysis may provide insight into the...

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Autores principales: Zhang, Chunyun, Yang, Yi, Han, Shuai, Xu, Long, Chen, Xueling, Geng, Xiaoli, Bie, Li, He, Jianghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804064/
https://www.ncbi.nlm.nih.gov/pubmed/36317719
http://dx.doi.org/10.1111/cns.14003
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author Zhang, Chunyun
Yang, Yi
Han, Shuai
Xu, Long
Chen, Xueling
Geng, Xiaoli
Bie, Li
He, Jianghong
author_facet Zhang, Chunyun
Yang, Yi
Han, Shuai
Xu, Long
Chen, Xueling
Geng, Xiaoli
Bie, Li
He, Jianghong
author_sort Zhang, Chunyun
collection PubMed
description BACKGROUND AND OBJECTIVES: The resting‐state brain is composed of several discrete networks, which remain stable for 10–100 ms. These functional microstates are considered the building blocks of spontaneous consciousness. Electroencephalography (EEG) microstate analysis may provide insight into the altered brain dynamics underlying consciousness recovery in patients with disorders of consciousness (DOC). We aimed to analyze microstates in the resting‐state EEG source space in patients with DOC, the relationship between state‐specific features and consciousness levels, and the corresponding patterns of microstates and functional networks. METHODS: We obtained resting‐state EEG data from 84 patients with DOC (27 in a minimally conscious state [MCS] and 57 in a vegetative state [VS] or with unresponsive wakefulness syndrome). We conducted a microstate analysis of the resting‐state (EEG) source space and developed a state‐transition analysis protocol for patients with DOC. RESULTS: We identified seven microstates with distinct spatial distributions of cortical activation. Multivariate pattern analyses revealed that different functional connectivity patterns were associated with source‐level microstates. There were significant differences in the microstate properties, including spatial activation patterns, temporal dynamics, state shifts, and connectivity construction, between the MCS and VS groups. DISCUSSION: Our findings suggest that consciousness depends on complex dynamics within the brain and may originate from the anterior cortex.
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spelling pubmed-98040642023-01-04 The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study Zhang, Chunyun Yang, Yi Han, Shuai Xu, Long Chen, Xueling Geng, Xiaoli Bie, Li He, Jianghong CNS Neurosci Ther Original Articles BACKGROUND AND OBJECTIVES: The resting‐state brain is composed of several discrete networks, which remain stable for 10–100 ms. These functional microstates are considered the building blocks of spontaneous consciousness. Electroencephalography (EEG) microstate analysis may provide insight into the altered brain dynamics underlying consciousness recovery in patients with disorders of consciousness (DOC). We aimed to analyze microstates in the resting‐state EEG source space in patients with DOC, the relationship between state‐specific features and consciousness levels, and the corresponding patterns of microstates and functional networks. METHODS: We obtained resting‐state EEG data from 84 patients with DOC (27 in a minimally conscious state [MCS] and 57 in a vegetative state [VS] or with unresponsive wakefulness syndrome). We conducted a microstate analysis of the resting‐state (EEG) source space and developed a state‐transition analysis protocol for patients with DOC. RESULTS: We identified seven microstates with distinct spatial distributions of cortical activation. Multivariate pattern analyses revealed that different functional connectivity patterns were associated with source‐level microstates. There were significant differences in the microstate properties, including spatial activation patterns, temporal dynamics, state shifts, and connectivity construction, between the MCS and VS groups. DISCUSSION: Our findings suggest that consciousness depends on complex dynamics within the brain and may originate from the anterior cortex. John Wiley and Sons Inc. 2022-11-01 /pmc/articles/PMC9804064/ /pubmed/36317719 http://dx.doi.org/10.1111/cns.14003 Text en © 2022 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Zhang, Chunyun
Yang, Yi
Han, Shuai
Xu, Long
Chen, Xueling
Geng, Xiaoli
Bie, Li
He, Jianghong
The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study
title The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study
title_full The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study
title_fullStr The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study
title_full_unstemmed The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study
title_short The temporal dynamics of Large‐Scale brain network changes in disorders of consciousness: A Microstate‐Based study
title_sort temporal dynamics of large‐scale brain network changes in disorders of consciousness: a microstate‐based study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804064/
https://www.ncbi.nlm.nih.gov/pubmed/36317719
http://dx.doi.org/10.1111/cns.14003
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