Prediction of motor recovery using indirect connectivity in a lesion network after ischemic stroke

BACKGROUND: Recovery prediction can assist in the planning for impairment-focused rehabilitation after a stroke. This study investigated a new prediction model based on a lesion network analysis. To predict the potential for recovery, we focused on the next link-step connectivity of the direct neigh...

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Detalles Bibliográficos
Autores principales: Lee, Jungsoo, Park, Eunhee, Lee, Ahee, Chang, Won Hyuk, Kim, Dae-Shik, Kim, Yun-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243376/
https://www.ncbi.nlm.nih.gov/pubmed/32499835
http://dx.doi.org/10.1177/1756286420925679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243376/
https://www.ncbi.nlm.nih.gov/pubmed/32499835
http://dx.doi.org/10.1177/1756286420925679

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