Functional connectivity associated with severe upper limb impairment in resting-state electroencephalography among chronic stroke survivors: a machine learning approach

Abstract Background Severe upper limb impairment (ULI) presents a significant challenge in the rehabilitation of chronic stroke survivors and affects their quality of life. Identifying biomarkers and understanding the neural mechanisms associated with severe ULI are essential for evaluating recovery...

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Autori principali:	Ji-Yoon Lee, Miseon Shim, Won Kee Chang, Hee-Mun Cho, Ji-Soo Choi, Hyunji Kim, Bongwon Suh, Nam-Jong Paik, Han-Jeong Hwang, Won-Seok Kim
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2025-12-01
Serie:	Journal of NeuroEngineering and Rehabilitation
Soggetti:	Stroke Upper limb impairment Motor recovery Fugl-Meyer assessment Electroencephalography Coherence
Accesso online:	https://doi.org/10.1186/s12984-025-01859-7
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