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Title: Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
Authors: Cheng, Hsiao-Ju
Ng, Kwun Kei
Qian, Xing
Ji, Fang
Lu, Zhong Kang
Teo, Wei Peng
Hong, Xin
Fatima Ali Nasrallah
Ang, Kai Keng
Chuang, Kai-Hsiang
Guan, Cuntai
Yu, Haoyong
Chew, Effie
Zhou, Helen Juan
Keywords: Science::Medicine
Engineering::Computer science and engineering
Issue Date: 2021
Source: Cheng, H., Ng, K. K., Qian, X., Ji, F., Lu, Z. K., Teo, W. P., Hong, X., Fatima Ali Nasrallah, Ang, K. K., Chuang, K., Guan, C., Yu, H., Chew, E. & Zhou, H. J. (2021). Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke. Scientific Reports, 11(1), 8442-.
Project: NMRC0088/2015 
Journal: Scientific Reports 
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.
ISSN: 2045-2322
DOI: 10.1038/s41598-021-87789-5
Schools: School of Computer Science and Engineering 
National Institute of Education 
Organisations: Institute for Infocomm Research, A*STAR
Rights: © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit
Fulltext Permission: open
Fulltext Availability: With Fulltext
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