Dynamic Reconfiguration of Brain Functional Network in Hemiplegic Stroke

Motivation: Research on dynamic brain network reconstruction in stroke patients remains scarce, limiting our understanding of brain functional remodeling mechanisms. Goal(s): This study aims to investigate the dynamic brain network characteristics of hemiplegic stroke patients through multilayer network reconstruction. Approach: We reconstructed the community of dynamic functional connectivity from resting-state fMRI and compared the modularity (Q value) and switching rates between stroke patients and matched healthy controls. Results: Stroke patients showed significantly higher modularity in brain networks, while the frontoparietal network (FPN) exhibited a significantly lower switching rate, both correlated with clinical symptoms. Impact: This study offers a new perspective on dynamic functional network reconstruction in hemiplegic stroke patients, revealing the connection between brain functional remodeling and motor impairments, thereby offering valuable evidence for guiding future clinical interventions.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2518
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic Reconfiguration of Brain Functional Network in Hemiplegic Stroke

Xianchang Zhang, Kaixin Li, Xue Liu, Yu Chen et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
EEG and Brain-Computer Interfaces
article

Dynamic Reconfiguration of Brain Functional Network in Hemiplegic Stroke

Xianchang Zhang, Kaixin Li, Xue Liu, Yu Chen, Meiyun Wang, Yao Ge, Yu Shen, Mengzhu Wang
article en

Abstract

Motivation: Research on dynamic brain network reconstruction in stroke patients remains scarce, limiting our understanding of brain functional remodeling mechanisms. Goal(s): This study aims to investigate the dynamic brain network characteristics of hemiplegic stroke patients through multilayer network reconstruction. Approach: We reconstructed the community of dynamic functional connectivity from resting-state fMRI and compared the modularity (Q value) and switching rates between stroke patients and matched healthy controls. Results: Stroke patients showed significantly higher modularity in brain networks, while the frontoparietal network (FPN) exhibited a significantly lower switching rate, both correlated with clinical symptoms. Impact: This study offers a new perspective on dynamic functional network reconstruction in hemiplegic stroke patients, revealing the connection between brain functional remodeling and motor impairments, thereby offering valuable evidence for guiding future clinical interventions.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
EEG and Brain-Computer Interfaces
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