EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.
Elif SarisikDavid PopovicDaniel KeeserAdyasha KhuntiaKolja SchiltzPeter G FalkaiOliver PogarellNikolaos KoutsoulerisPublished in: Schizophrenia bulletin (2024)
ML models can extract electrophysiological signatures of MDD and SCZ for potential clinical use. However, the impact of aging processes on diagnostic separability calls for timely application of such models, possibly in early recognition settings.