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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142044/
https://www.ncbi.nlm.nih.gov/pubmed/30271318
http://dx.doi.org/10.3389/fnins.2018.00624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142044/
https://www.ncbi.nlm.nih.gov/pubmed/30271318
http://dx.doi.org/10.3389/fnins.2018.00624

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