Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity

Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity

Interventional therapy using brain-computer interface (BCI) technology has shown promise in facilitating motor recovery in stroke survivors; however, the impact of this form of intervention on functional networks outside of the motor network specifically is not well-understood. Here, we investigated...

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Bibliographic Details
Main Authors: Rosaleena Mohanty, Anita M. Sinha, Alexander B. Remsik, Keith C. Dodd, Brittany M. Young, Tyler Jacobson, Matthew McMillan, Jaclyn Thoma, Hemali Advani, Veena A. Nair, Theresa J. Kang, Kristin Caldera, Dorothy F. Edwards, Justin C. Williams, Vivek Prabhakaran
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-05-01
Series:Frontiers in Neuroscience
Subjects:
BCI therapy
stroke recovery
functional MRI
functional connectivity
motor network
non-motor networks
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00353/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.00353/full

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