Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke

Abstract Stroke leads to both regional brain functional disruptions and network reorganization. However, how brain functional networks reconfigure as task demand increases in stroke patients and whether such reorganization at baseline would facilitate post-stroke motor recovery are largely unknown....

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Hsiao-Ju Cheng, Kwun Kei Ng, Xing Qian, Fang Ji, Zhong Kang Lu, Wei Peng Teo, Xin Hong, Fatima Ali Nasrallah, Kai Keng Ang, Kai-Hsiang Chuang, Cuntai Guan, Haoyong Yu, Effie Chew, Juan Helen Zhou
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/f7337ab9f78b431a8293160fb3fb5b78
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f7337ab9f78b431a8293160fb3fb5b78
record_format dspace
spelling oai:doaj.org-article:f7337ab9f78b431a8293160fb3fb5b782021-12-02T16:45:46ZTask-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke10.1038/s41598-021-87789-52045-2322https://doaj.org/article/f7337ab9f78b431a8293160fb3fb5b782021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87789-5https://doaj.org/toc/2045-2322Abstract Stroke leads to both regional brain functional disruptions and network reorganization. However, how brain functional networks reconfigure as task demand increases in stroke patients and whether such reorganization at baseline would facilitate post-stroke motor recovery are largely unknown. To address this gap, brain functional connectivity (FC) were examined at rest and motor tasks in eighteen chronic subcortical stroke patients and eleven age-matched healthy controls. Stroke patients underwent a 2-week intervention using a motor imagery-assisted brain computer interface-based (MI-BCI) training with or without transcranial direct current stimulation (tDCS). Motor recovery was determined by calculating the changes of the upper extremity component of the Fugl–Meyer Assessment (FMA) score between pre- and post-intervention divided by the pre-intervention FMA score. The results suggested that as task demand increased (i.e., from resting to passive unaffected hand gripping and to active affected hand gripping), patients showed greater FC disruptions in cognitive networks including the default and dorsal attention networks. Compared to controls, patients had lower task-related spatial similarity in the somatomotor–subcortical, default–somatomotor, salience/ventral attention–subcortical and subcortical–subcortical connections, suggesting greater inefficiency in motor execution. Importantly, higher baseline network-specific FC strength (e.g., dorsal attention and somatomotor) and more efficient brain network reconfigurations (e.g., somatomotor and subcortical) from rest to active affected hand gripping at baseline were related to better future motor recovery. Our findings underscore the importance of studying functional network reorganization during task-free and task conditions for motor recovery prediction in stroke.Hsiao-Ju ChengKwun Kei NgXing QianFang JiZhong Kang LuWei Peng TeoXin HongFatima Ali NasrallahKai Keng AngKai-Hsiang ChuangCuntai GuanHaoyong YuEffie ChewJuan Helen ZhouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Hsiao-Ju Cheng
Kwun Kei Ng
Xing Qian
Fang Ji
Zhong Kang Lu
Wei Peng Teo
Xin Hong
Fatima Ali Nasrallah
Kai Keng Ang
Kai-Hsiang Chuang
Cuntai Guan
Haoyong Yu
Effie Chew
Juan Helen Zhou
Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
description Abstract Stroke leads to both regional brain functional disruptions and network reorganization. However, how brain functional networks reconfigure as task demand increases in stroke patients and whether such reorganization at baseline would facilitate post-stroke motor recovery are largely unknown. To address this gap, brain functional connectivity (FC) were examined at rest and motor tasks in eighteen chronic subcortical stroke patients and eleven age-matched healthy controls. Stroke patients underwent a 2-week intervention using a motor imagery-assisted brain computer interface-based (MI-BCI) training with or without transcranial direct current stimulation (tDCS). Motor recovery was determined by calculating the changes of the upper extremity component of the Fugl–Meyer Assessment (FMA) score between pre- and post-intervention divided by the pre-intervention FMA score. The results suggested that as task demand increased (i.e., from resting to passive unaffected hand gripping and to active affected hand gripping), patients showed greater FC disruptions in cognitive networks including the default and dorsal attention networks. Compared to controls, patients had lower task-related spatial similarity in the somatomotor–subcortical, default–somatomotor, salience/ventral attention–subcortical and subcortical–subcortical connections, suggesting greater inefficiency in motor execution. Importantly, higher baseline network-specific FC strength (e.g., dorsal attention and somatomotor) and more efficient brain network reconfigurations (e.g., somatomotor and subcortical) from rest to active affected hand gripping at baseline were related to better future motor recovery. Our findings underscore the importance of studying functional network reorganization during task-free and task conditions for motor recovery prediction in stroke.
format article
author Hsiao-Ju Cheng
Kwun Kei Ng
Xing Qian
Fang Ji
Zhong Kang Lu
Wei Peng Teo
Xin Hong
Fatima Ali Nasrallah
Kai Keng Ang
Kai-Hsiang Chuang
Cuntai Guan
Haoyong Yu
Effie Chew
Juan Helen Zhou
author_facet Hsiao-Ju Cheng
Kwun Kei Ng
Xing Qian
Fang Ji
Zhong Kang Lu
Wei Peng Teo
Xin Hong
Fatima Ali Nasrallah
Kai Keng Ang
Kai-Hsiang Chuang
Cuntai Guan
Haoyong Yu
Effie Chew
Juan Helen Zhou
author_sort Hsiao-Ju Cheng
title Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
title_short Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
title_full Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
title_fullStr Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
title_full_unstemmed Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
title_sort task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f7337ab9f78b431a8293160fb3fb5b78
work_keys_str_mv AT hsiaojucheng taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT kwunkeing taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT xingqian taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT fangji taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT zhongkanglu taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT weipengteo taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT xinhong taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT fatimaalinasrallah taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT kaikengang taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT kaihsiangchuang taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT cuntaiguan taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT haoyongyu taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT effiechew taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
AT juanhelenzhou taskrelatedbrainfunctionalnetworkreconfigurationsrelatetomotorrecoveryinchronicsubcorticalstroke
_version_ 1718383492020043776