Machine Learning-Based Electroencephalographic Phenotypes of Schizophrenia and Major Depressive Disorder

Machine Learning-Based Electroencephalographic Phenotypes of Schizophrenia and Major Depressive Disorder

Background: Psychiatric diagnosis is formulated by symptomatic classification; disease-specific neurophysiological phenotyping could help with its fundamental treatment. Here, we investigated brain phenotyping in patients with schizophrenia (SZ) and major depressive disorder (MDD) by using electroen...

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Bibliographic Details
Main Authors: Kuk-In Jang, Sungkean Kim, Soo Young Kim, Chany Lee, Jeong-Ho Chae
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Psychiatry
Subjects:
electroencephalographic phenotyping
machine learning
auditory P300
schizophrenia
major depressive disorder
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.745458/full

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https://www.frontiersin.org/articles/10.3389/fpsyt.2021.745458/full

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