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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Dades bibliogràfiques
Publicat a:Front Neurosci
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2018
Matèries:
Neuroscience
Accés en línia: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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