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Exploring the Links Between Cognitive Deficits and EEG Spectral Density in Schizophrenia

Published online by Cambridge University Press:  26 August 2025

N. Smaoui
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
D. Jardak*
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
R. Feki
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
M. Bou Ali Maalej
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
I. Gassara
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
N. Charfi
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
J. Ben Thabet
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
M. Maalej
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
S. Omri
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
L. Zouari
Affiliation:
Psychiatry C, Hedi Chaker University Hospital
L. Triki
Affiliation:
Functional Explorations, Habib Bourguiba University Hospital, Sfax, Tunisia
*
*Corresponding author.

Abstract

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Introduction

The research revealed significant correlations between cognitive performance, assessed by psychometric scales, and variations in frequency bands in the electroencephalography (EEG), illustrating the link between electroencephalographic activity and cognitive functions in schizophrenic patients

Objectives

Our study aimed to explore the relationship between the electroencephalographic spectral power of slow frequency bands (delta and theta) and cognitive functions in patients with schizophrenia by comparing them to healthy subjects.

Methods

We conducted a cross-sectional, descriptive, and analytical study involving 15 schizophrenic patients and 15 healthy controls. The study was performed at the Psychiatry Department “C” outpatient unit at Hedi Chaker University Hospital in Sfax in Tunisia. We used the Arabic literary version of the Screen for Cognitive Impairment in Psychiatry (SCIP) scale to assess cognitive functions. Participants underwent a standard wakefulness EEG with eyes closed at the Functional Explorations Department of Habib Bourguiba Hospital in Sfax in Tunisia. Linear regression analysis was used to examine correlations between the total SCIP score and the absolute spectral density (ASD) values of EEG oscillations.

Results

Linear regression analysis revealed a negative correlation between the total SCIP score and the delta wave ASD at T5 (left temporal) (r = -0.37; p = 0.025) and theta wave ASD at Fp2 (right prefrontal) (r = -0.131; p = 0.006). A positive correlation was found between theta wave ASD at F3 (left frontal) (r = 0.125; p = 0.02) and the total SCIP score. It revealed a negative correlation between the total SCIP score and the age of onset of schizophrenia (r = -0.647; p = 0.001).

Conclusions

These results suggest that theta and delta power at rest, as measured by EEG, may serve as potential biomarkers for cognitive deficits in patients with schizophrenia. These findings could contribute to a better understanding of the neurophysiological basis of cognitive alterations associated with this condition.

Disclosure of Interest

None Declared

Information

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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), 2025. Published by Cambridge University Press on behalf of European Psychiatric Association
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