Predicting poststroke dyskinesia with resting-state functional connectivity in the motor network

SIGNIFICANCE: Motor function evaluation is essential for poststroke dyskinesia rehabilitation. Neuroimaging techniques combined with machine learning help decode a patient’s functional status. However, more research is needed to investigate how individual brain function information predicts the dysk...

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Detalles Bibliográficos
Autores principales: Lin, Shuoshu, Wang, Dan, Sang, Haojun, Xiao, Hongjun, Yan, Kecheng, Wang, Dongyang, Zhang, Yizheng, Yi, Li, Shao, Guangjian, Shao, Zhiyong, Yang, Aoran, Zhang, Lei, Sun, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2023
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072005/
https://www.ncbi.nlm.nih.gov/pubmed/37025568
http://dx.doi.org/10.1117/1.NPh.10.2.025001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072005/
https://www.ncbi.nlm.nih.gov/pubmed/37025568
http://dx.doi.org/10.1117/1.NPh.10.2.025001

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