Classification of first-episode schizophrenia patients, individuals at ultra-high risk for psychosis, and healthy controls using structural mri, eeg, and machine learning

Classification of first-episode schizophrenia patients, individuals at ultra-high risk for psychosis, and healthy controls using structural mri, eeg, and machine learning

Introduction Machine learning has increasingly been applied to classification of psychosis spectrum in neuroimaging research. However, a number of multimodal studies using MRI and electroencephalography (EEG) is quite limited. Objectives To assess the power of multimodal structural MRI (sMRI) an...

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Bibliographic Details
Main Authors: A. Tomyshev, N. Lutsyak, M. Belyaev, V. Kaleda, I. Lebedeva
Format: Article
Language:English
Published: Cambridge University Press 2021-04-01
Series:European Psychiatry
Subjects:
machine learning
psychosis
MRI
EEG
Online Access:https://www.cambridge.org/core/product/identifier/S092493382101097X/type/journal_article

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