Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers

Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As symptoms may overlap, misdiagnosis is common, potentially leading to ineffective or destabilizing treatment. Diagnostic biomarkers could significantly improve clini...

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Bibliographic Details

Published in:	Journal of affective disorders Vol. 346; pp. 285 - 298
Main Authors:	Ravan, Maryam, Noroozi, Amin, Sanchez, Mary Margarette, Borden, Lee, Alam, Nafia, Flor-Henry, Pierre, Colic, Sinisa, Khodayari-Rostamabad, Ahmad, Minuzzi, Luciano, Hasey, Gary
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.02.2024
Subjects:	Bipolar Disorder - diagnosis Deep Learning Depressive Disorder, Major - diagnosis Depressive Disorder, Major - psychology Electroencephalography Healthy Volunteers Humans Psychiatric/Mental Health Schizophrenia - diagnosis
ISSN:	0165-0327, 1573-2517, 1573-2517
Online Access:	Get full text
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