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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...
Autores principales: | Lee, Jungsoo, Park, Eunhee, Lee, Ahee, Chang, Won Hyuk, Kim, Dae-Shik, Kim, Yun-Hee |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
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 |
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