Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach

Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach

Background: Cognitive dysfunction is widespread in psychiatric disorders and can significantly impact quality of life. Deficits cut across traditional diagnostic boundaries, necessitating new approaches to understand how cognitive function relates to large-scale brain activity and psychiatric sympto...

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Bibliographic Details
Main Authors: Kaia Sargent, UnYoung Chavez-Baldini, Sarah L. Master, Karin J.H. Verweij, Anja Lok, Arjen L. Sutterland, Nienke C. Vulink, Damiaan Denys, Dirk J.A. Smit, Dorien H. Nieman
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage: Clinical
Subjects:
Resting-state EEG
Transdiagnostic psychiatry
Machine learning
Cognitive function
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158221000619

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http://www.sciencedirect.com/science/article/pii/S2213158221000619

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