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Subgroups with characteristically different electroencephalographic profiles identified by cluster analysis within schizophrenic patients

Published online by Cambridge University Press:  16 April 2020

M.N. Papaliaga
Affiliation:
Dpt of Psychiatry, University of Thessaly, School of Health Sciences, Facility of Medicine, Larisa, Greece
A.A. Hatziefthimiou
Affiliation:
Dpt of Psychiatry, University of Thessaly, School of Health Sciences, Facility of Medicine, Larisa, Greece
O. Mouzas
Affiliation:
Dpt of Psychiatry, University of Thessaly, School of Health Sciences, Facility of Medicine, Larisa, Greece
M. Karatziou
Affiliation:
Dpt of Psychiatry, University of Thessaly, School of Health Sciences, Facility of Medicine, Larisa, Greece
N. Angelopoulos
Affiliation:
Dpt of Psychiatry, University of Thessaly, School of Health Sciences, Facility of Medicine, Larisa, Greece

Abstract

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Aim

To examine clinical, electrophysiological differences among subgroups of schizophrenic patients with different QEEG profiles identified by cluster analysis.

Method

Fifty-two schizophrenic patients were studied (age:34.64 ± 10.41, 18–58 years). Digital, resting electroencephalogram was recorded and submitted to quantitative-topographic spectrum analysis (QEEG), and patients’ clinical state was assessed by the Greek version of Positive and Negative Syndrome Scale (PANSS). QEEG data were submitted to cluster analysis, and QEEG, clinical differences were compared using Kruskal-Wallis non-parametric test.

Results

Three groups of patients with different electrophysiological profiles (p < 0.05) were detected by cluster analysis of QEEG data: Group A, characterized by increased levels of relative power in α frequency band, low levels in β, medium levels of relative power in δ, θ frequency bands; Group B, characterized by increased levels of relative power in δ, θ frequency bands and medium in α, β; Group C, characterized by increased levels of relative power in β frequency band, very low in α, medium in δ, θ bands. According to PANSS, group A patients had lower (p < 0.05) levels of agitation, hostility/aggression, difficulty in abstract thinking, stereotypic thought and attention deficit than patients of the other groups.

Conclusions

Cluster analysis can be used to identify characteristically different QEEG profiles of schizophrenic patients. The cluster with increased relative power in the α frequency band, low levels in β, and medium in δ, θ bands was “healthier” in specific PANSS parameters than the clusters with low α and increased relative power in δ, θ and β frequency bands.

Type
P03-299
Copyright
Copyright © European Psychiatric Association 2011
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