Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach
Kaia Sargent(University of California, Los Angeles), Dorien H. Nieman(Amsterdam UMC Location University of Amsterdam), UnYoung Chavez‐Baldini(Amsterdam University Medical Centers), Nienke Vulink(Amsterdam University Medical Centers), Sarah L. Master(New York University), Arjen L. Sutterland(Amsterdam University Medical Centers), Karin J. H. Verweij(Amsterdam University Medical Centers), Dirk J. A. Smit(Dalhousie University), Anja Lok(Amsterdam University Medical Centers), Damiaan Denys(Amsterdam University of Applied Sciences)
Cited by 34
Related Papers
The Lancet Psychiatry Commission on youth mental health
|The Lancet Psychiatry|2024|504
Prevention of Psychosis
|JAMA Psychiatry|2020|463
Heritability of “small‐world” networks in the brain: A graph theoretical analysis of resting‐state EEG functional connectivity
|Human Brain Mapping|2007|287
The Brain Matures with Stronger Functional Connectivity and Decreased Randomness of Its Network
|PLoS ONE|2012|148
Multi-tissue transcriptome analyses identify genetic mechanisms underlying neuropsychiatric traits
|Nature Genetics|2019|105