Effects of brain network segregation and integration on motor imagery sensorimotor rhythm
Diverse cognitive processes place different demands on locally segregated and globally integrated brain activities. Motor imagery (MI) is a complex mental operation characterized by sensorimotor rhythms. However, how the brain network acts on MI rhythms is not well-known. The present work aimed to e...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2023-12-01
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Series: | Brain-Apparatus Communication |
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Online Access: | http://dx.doi.org/10.1080/27706710.2022.2147404 |
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author | Maoqin Peng Danwei Lai Sipei Li Zhihong Liu Dongrui Gao Yun Qin Tiejun Liu |
author_facet | Maoqin Peng Danwei Lai Sipei Li Zhihong Liu Dongrui Gao Yun Qin Tiejun Liu |
author_sort | Maoqin Peng |
collection | DOAJ |
description | Diverse cognitive processes place different demands on locally segregated and globally integrated brain activities. Motor imagery (MI) is a complex mental operation characterized by sensorimotor rhythms. However, how the brain network acts on MI rhythms is not well-known. The present work aimed to explore the effects of brain integration and segregation on brain rhythmic oscillations. The power spectrum dynamics, topography distribution, and brain network metrics in the alpha and beta bands were calculated. And the correlations were investigated with the network metrics and sensorimotor rhythm. The results showed that the degree of event-related desynchronization/synchronization (ERD/ERS) was higher in alpha band than in beta band during [−1, 1 s] (p < 0.01). The topography of the alpha band demonstrated a bilateral distribution during MI processing, while the beta band had more diffuse distributions around the centre. Moreover, global efficiency was associated with bilateral ERD, and the transitivity was related to contralateral local power. These results suggested that network functions could facilitate the completion of behavior tasks. The integration was related to bilateral hemisphere coordination and the segregation was related to local activation, which shaped the local neural modulation of individuals in MI. |
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format | Article |
id | doaj.art-a5bc038983eb4307b921cfdde6753557 |
institution | Directory Open Access Journal |
issn | 2770-6710 |
language | English |
last_indexed | 2024-03-12T00:55:23Z |
publishDate | 2023-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Brain-Apparatus Communication |
spelling | doaj.art-a5bc038983eb4307b921cfdde67535572023-09-14T13:24:41ZengTaylor & Francis GroupBrain-Apparatus Communication2770-67102023-12-012110.1080/27706710.2022.21474042147404Effects of brain network segregation and integration on motor imagery sensorimotor rhythmMaoqin Peng0Danwei Lai1Sipei Li2Zhihong Liu3Dongrui Gao4Yun Qin5Tiejun Liu6MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of ChinaMOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of ChinaGlasgow College, University of Electronic Science and Technology of ChinaCollege of Electronic Engineering, Chengdu University of Information TechnologySchool of Computer Science, Chengdu University of Information TechnologyMOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of ChinaMOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of ChinaDiverse cognitive processes place different demands on locally segregated and globally integrated brain activities. Motor imagery (MI) is a complex mental operation characterized by sensorimotor rhythms. However, how the brain network acts on MI rhythms is not well-known. The present work aimed to explore the effects of brain integration and segregation on brain rhythmic oscillations. The power spectrum dynamics, topography distribution, and brain network metrics in the alpha and beta bands were calculated. And the correlations were investigated with the network metrics and sensorimotor rhythm. The results showed that the degree of event-related desynchronization/synchronization (ERD/ERS) was higher in alpha band than in beta band during [−1, 1 s] (p < 0.01). The topography of the alpha band demonstrated a bilateral distribution during MI processing, while the beta band had more diffuse distributions around the centre. Moreover, global efficiency was associated with bilateral ERD, and the transitivity was related to contralateral local power. These results suggested that network functions could facilitate the completion of behavior tasks. The integration was related to bilateral hemisphere coordination and the segregation was related to local activation, which shaped the local neural modulation of individuals in MI.http://dx.doi.org/10.1080/27706710.2022.2147404motor imagerysegregationintegrationsensorimotor rhythm |
spellingShingle | Maoqin Peng Danwei Lai Sipei Li Zhihong Liu Dongrui Gao Yun Qin Tiejun Liu Effects of brain network segregation and integration on motor imagery sensorimotor rhythm Brain-Apparatus Communication motor imagery segregation integration sensorimotor rhythm |
title | Effects of brain network segregation and integration on motor imagery sensorimotor rhythm |
title_full | Effects of brain network segregation and integration on motor imagery sensorimotor rhythm |
title_fullStr | Effects of brain network segregation and integration on motor imagery sensorimotor rhythm |
title_full_unstemmed | Effects of brain network segregation and integration on motor imagery sensorimotor rhythm |
title_short | Effects of brain network segregation and integration on motor imagery sensorimotor rhythm |
title_sort | effects of brain network segregation and integration on motor imagery sensorimotor rhythm |
topic | motor imagery segregation integration sensorimotor rhythm |
url | http://dx.doi.org/10.1080/27706710.2022.2147404 |
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