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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Ngā kaituhi matua:	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
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	BMC 2025-12-01
Rangatū:	Journal of NeuroEngineering and Rehabilitation
Ngā marau:	Stroke Upper limb impairment Motor recovery Fugl-Meyer assessment Electroencephalography Coherence
Urunga tuihono:	https://doi.org/10.1186/s12984-025-01859-7
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!