Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning

The primary goal of this work was to apply data-driven machine learning regression to assess if resting state functional connectivity (rs-FC) could estimate measures of behavioral domains in stroke subjects who completed brain-computer interface (BCI) intervention for motor rehabilitation. The study...

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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Mohanty, Rosaleena, Sinha, Anita M., Remsik, Alexander B., Dodd, Keith C., Young, Brittany M., Jacobson, Tyler, McMillan, Matthew, Thoma, Jaclyn, Advani, Hemali, Nair, Veena A., Kang, Theresa J., Caldera, Kristin, Edwards, Dorothy F., Williams, Justin C., Prabhakaran, Vivek
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6142044/
https://ncbi.nlm.nih.gov/pubmed/30271318
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00624
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