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Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy

Epilepsy is a common brain network disorder associated with disrupted large‐scale excitatory and inhibitory neural interactions. Recent resting‐state fMRI evidence indicates that global signal (GS) fluctuations that have commonly been ignored are linked to neural activity. However, the mechanisms un...

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Autores principales: Li, Rong, Wang, Hongyu, Wang, Liangcheng, Zhang, Leiyao, Zou, Ting, Wang, Xuyang, Liao, Wei, Zhang, Zhiqiang, Lu, Guangming, Chen, Huafu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776006/
https://www.ncbi.nlm.nih.gov/pubmed/33073893
http://dx.doi.org/10.1002/hbm.25231
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author Li, Rong
Wang, Hongyu
Wang, Liangcheng
Zhang, Leiyao
Zou, Ting
Wang, Xuyang
Liao, Wei
Zhang, Zhiqiang
Lu, Guangming
Chen, Huafu
author_facet Li, Rong
Wang, Hongyu
Wang, Liangcheng
Zhang, Leiyao
Zou, Ting
Wang, Xuyang
Liao, Wei
Zhang, Zhiqiang
Lu, Guangming
Chen, Huafu
author_sort Li, Rong
collection PubMed
description Epilepsy is a common brain network disorder associated with disrupted large‐scale excitatory and inhibitory neural interactions. Recent resting‐state fMRI evidence indicates that global signal (GS) fluctuations that have commonly been ignored are linked to neural activity. However, the mechanisms underlying the altered global pattern of fMRI spontaneous fluctuations in epilepsy remain unclear. Here, we quantified GS topography using beta weights obtained from a multiple regression model in a large group of epilepsy with different subtypes (98 focal temporal epilepsy; 116 generalized epilepsy) and healthy population (n = 151). We revealed that the nonuniformly distributed GS topography across association and sensory areas in healthy controls was significantly shifted in patients. Particularly, such shifts of GS topography disturbances were more widespread and bilaterally distributed in the midbrain, cerebellum, visual cortex, and medial and orbital cortex in generalized epilepsy, whereas in focal temporal epilepsy, these networks spread beyond the temporal areas but mainly remain lateralized. Moreover, we found that these abnormal GS topography patterns were likely to evolve over the course of a longer epilepsy disease. Our study demonstrates that epileptic processes can potentially affect global excitation/inhibition balance and shift the normal GS topological distribution. These progressive topographical GS disturbances in subcortical–cortical networks may underlie pathophysiological mechanisms of global fluctuations in human epilepsy.
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spelling pubmed-77760062021-01-07 Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy Li, Rong Wang, Hongyu Wang, Liangcheng Zhang, Leiyao Zou, Ting Wang, Xuyang Liao, Wei Zhang, Zhiqiang Lu, Guangming Chen, Huafu Hum Brain Mapp Research Articles Epilepsy is a common brain network disorder associated with disrupted large‐scale excitatory and inhibitory neural interactions. Recent resting‐state fMRI evidence indicates that global signal (GS) fluctuations that have commonly been ignored are linked to neural activity. However, the mechanisms underlying the altered global pattern of fMRI spontaneous fluctuations in epilepsy remain unclear. Here, we quantified GS topography using beta weights obtained from a multiple regression model in a large group of epilepsy with different subtypes (98 focal temporal epilepsy; 116 generalized epilepsy) and healthy population (n = 151). We revealed that the nonuniformly distributed GS topography across association and sensory areas in healthy controls was significantly shifted in patients. Particularly, such shifts of GS topography disturbances were more widespread and bilaterally distributed in the midbrain, cerebellum, visual cortex, and medial and orbital cortex in generalized epilepsy, whereas in focal temporal epilepsy, these networks spread beyond the temporal areas but mainly remain lateralized. Moreover, we found that these abnormal GS topography patterns were likely to evolve over the course of a longer epilepsy disease. Our study demonstrates that epileptic processes can potentially affect global excitation/inhibition balance and shift the normal GS topological distribution. These progressive topographical GS disturbances in subcortical–cortical networks may underlie pathophysiological mechanisms of global fluctuations in human epilepsy. John Wiley & Sons, Inc. 2020-10-19 /pmc/articles/PMC7776006/ /pubmed/33073893 http://dx.doi.org/10.1002/hbm.25231 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Li, Rong
Wang, Hongyu
Wang, Liangcheng
Zhang, Leiyao
Zou, Ting
Wang, Xuyang
Liao, Wei
Zhang, Zhiqiang
Lu, Guangming
Chen, Huafu
Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
title Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
title_full Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
title_fullStr Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
title_full_unstemmed Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
title_short Shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
title_sort shared and distinct global signal topography disturbances in subcortical and cortical networks in human epilepsy
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776006/
https://www.ncbi.nlm.nih.gov/pubmed/33073893
http://dx.doi.org/10.1002/hbm.25231
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