Functional disconnection of associative cortical areas predicts performance during BCI training

Functional disconnection of associative cortical areas predicts performance during BCI training

Brain-computer interfaces (BCIs) have been largely developed to allow communication, control, and neurofeedback in human beings. Despite their great potential, BCIs perform inconsistently across individuals and the neural processes that enable humans to achieve good control remain poorly understood....

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Bibliographic Details
Main Authors: Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio De Vico Fallani
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:NeuroImage
Subjects:
Learning
Motor imagery
Brain-computer interface
EEG
MEG
Network
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919310912

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http://www.sciencedirect.com/science/article/pii/S1053811919310912

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