Identifying Clinically and Functionally Distinct Groups Among Healthy Controls and First Episode Psychosis Patients by Clustering on EEG Patterns

Identifying Clinically and Functionally Distinct Groups Among Healthy Controls and First Episode Psychosis Patients by Clustering on EEG Patterns

ObjectiveThe mismatch negativity (MMN) is considered as a promising biomarker that can inform future therapeutic studies. However, there is a large variability among patients with first episode psychosis (FEP). Also, most studies report a single electrode site and on comparing case–control group dif...

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Bibliographic Details
Main Authors: Xiaodong Qu, Saran Liukasemsarn, Jingxuan Tu, Amy Higgins, Timothy J. Hickey, Mei-Hua Hall
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Psychiatry
Subjects:
mismatch negativity
first episode psychosis
heterogeneity
machine learning
K-means clustering
longitudinal study
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2020.541659/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyt.2020.541659/full

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