Keywords: Stroke, fMRI (resting state), Multilayer brain network; Module reconfiguration
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.
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