Multimodal resting-state connectivity predicts affective neurofeedback performance

Multimodal resting-state connectivity predicts affective neurofeedback performance

Neurofeedback has been suggested as a potential complementary therapy to different psychiatric disorders. Of interest for this approach is the prediction of individual performance and outcomes. In this study, we applied functional connectivity-based modeling using electroencephalography (EEG) and fu...

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Bibliographic Details
Main Authors: Lucas R. Trambaiolli, Raymundo Cassani, Claudinei E. Biazoli, André M. Cravo, João R. Sato, Tiago H. Falk
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Human Neuroscience
Subjects:
neurofeedback
brain connectivity
electroencephalography
functional near-infrared spectroscopy
resting-state
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.977776/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2022.977776/full

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