Reorganization of Dynamic Network in Stroke Patients and Its Potential for Predicting Motor Recovery

Conclusions: The reorganization of dynamic network configurations in stroke patients reveals crucial insights into the mechanisms of motor recovery. These findings suggest that metrics of dynamic network reorganization, particularly global network switching rate, may offer a robust predictor of moto...

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Bibliographic Details
Main Authors: Xiaomin Pang, Longquan Huang, Huahang He, Shaojun Xie, Jinfeng Huang, Xiaorong Ge, Tianqing Zheng, Liren Zhao, Ning Xu, Zhao Zhang
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/np/9932927
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