Search for schizophrenia and bipolar biotypes using functional network properties.

ABSTRACT:

Introduction

Recent studies support the identification of valid subtypes within schizophrenia and bipolar disorder using cluster analysis. Our aim was to identify meaningful biotypes of psychosis based on network properties of the electroencephalogram. We hypothesized that these parameters would be more altered in a subgroup of patients also characterized by more severe deficits in other clinical, cognitive, and biological measurements.

Methods

A clustering analysis was performed using the electroencephalogram-based network parameters derived from graph-theory obtained during a P300 task of 137 schizophrenia (of them, 35 first episodes) and 46 bipolar patients. Both prestimulus and modulation of the electroencephalogram were included in the analysis. Demographic, clinical, c

SUBMITTER: Fernandez-Linsenbarth I 

PROVIDER: S-EPMC8671779 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature