Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-28T14:36:41.609Z Has data issue: false hasContentIssue false

EEG power spectrum analysis for Tunisian schizophrenic patients

Published online by Cambridge University Press:  19 July 2023

M. Mnif*
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
N. Smaoui
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
L. Triki
Affiliation:
Functional exploration department, Hbib Borguiba Hospital, Sfax, Tunisia
J. Donia
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
R. Feki
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
I. Gassara
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
S. Omri
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
M. Maalej
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
N. Charfi
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
L. Zouari
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
J. Ben Thabeut
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
K. Masmoudi
Affiliation:
Functional exploration department, Hbib Borguiba Hospital, Sfax, Tunisia
M. Maalej
Affiliation:
Psychiatry C department, Hedi Chakeur Hospital
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Schizophrenia (SCZ) is a common and disabling psychiatric condition. Its diagnosis is entirely clinical. Many researchers have looked into electroencephalogram (EEG) power spectrum analysis for SCZ to find specific abnormalities.

Objectives

The objective of this study was to analyze the EEG of patients with SCZ using power spectral density and to compare them with those of healthy controls, in order to look for specificities.

Methods

This was a cross-sectional, descriptive, and analytical case-control study conducted with patients followed for SCZ in the psychiatry "C" department at the Hedi Chaker hospital in Sfax. Healthy controls were included. Patients were assessed by the Positive and Negative schizophrenia scale (PANSS). All participants benefited from an EEG at rest condition at the service of the functional exploration at the Habib Bourguiba hospital in Sfax. We have measured the powers of each band using Welch power spectral density method called absolute power (AP). Statistical analyses were carried out.

Results

Fifteen schizophrenics and 15 controls, all male, were included. The average age of schizophrenics and healthy controls was 40 years ±12.72 years and 47.93 ± 15.61 years respectively. There were no significant differences in age between patients and controls. Schizophrenics had a mean PANSS of 64.6±22.7.

At the quantitative EEG, differences appeared to be insignificant. There was an overall decrease in AP for the alpha band particularly in the parietal and occipital lobes in schizophrenics (53,16 ± 48,83 μV2 and 75,17 ± 56,28 μV2 respectively) compared to controls (335,15 ± 994,73 μV2 and 400,24 ± 1109,95 μV2 respectively). There was also an overall decrease in AP for the different frequency bands in schizophrenics compared to controls. However, values persisted high in the temporal lobe for all frequency bands.

Conclusions

In conclusion, this decrease in AP for the alpha band in the parietal and occipital lobes in schizophrenics can be a sensitive biomarker for diagnosing SCZ.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.