High-frequency changes in single-trial visual evoked potentials for unattended stimuli in chronic schizophrenia.

Fast Fourier transform (FFT) High-frequency (gamma) oscillations Quantitative EEG (QEEG) Schizophrenia Single-trial potentials Spectral analysis Visual evoked potentials (VEP)

Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
15 07 2022
Historique:
received: 15 11 2021
revised: 26 04 2022
accepted: 18 05 2022
pubmed: 2 6 2022
medline: 22 6 2022
entrez: 1 6 2022
Statut: ppublish

Résumé

Patients with schizophrenia reveal changes in information processing associated with external stimuli, which is reflected in the measurements of brain evoked potentials. We discuss actual knowledge on electro- (EEG) and magnetoencephalographic (MEG) changes in schizophrenia. The commonly used averaging technique entails the loss of information regarding the generation of evoked responses. We propose a methodology to describe single-trial (non-averaged) visual evoked potentials (VEP) using spectral and statistical analyses. We analysed EEG data registered in the O1-Cz and O2-Cz leads during unattended pattern-reversal stimulation, collected from a group of adult patients with chronic schizophrenia, and compared them to those of healthy individuals. Short-time single-trial VEP were transformed to the frequency domain using the FFT algorithm. Changes of the spectral power were visualized using spectrograms which were created by stacking single-trial spectra across all trials. Measures of the absolute and the relative spectral power were calculated and compared statistically. In schizophrenia, the energy density of VEP oscillations is shifted towards higher (gamma) frequencies, compared to healthy individuals. These differences are statistically significant in all analysed frequency bands for the relative power. This indicates distorted early processing of visual stimuli in schizophrenia. The main advantage of the presented methodology is its simplicity and ease of interpretation of obtained results. The presented observations complement the knowledge on gamma oscillations acquired from computationally more complex methods of time-frequency analysis. High-frequency changes for single-trial VEPs are detected in chronic schizophrenia.

Sections du résumé

BACKGROUND
Patients with schizophrenia reveal changes in information processing associated with external stimuli, which is reflected in the measurements of brain evoked potentials. We discuss actual knowledge on electro- (EEG) and magnetoencephalographic (MEG) changes in schizophrenia.
NEW METHOD
The commonly used averaging technique entails the loss of information regarding the generation of evoked responses. We propose a methodology to describe single-trial (non-averaged) visual evoked potentials (VEP) using spectral and statistical analyses. We analysed EEG data registered in the O1-Cz and O2-Cz leads during unattended pattern-reversal stimulation, collected from a group of adult patients with chronic schizophrenia, and compared them to those of healthy individuals. Short-time single-trial VEP were transformed to the frequency domain using the FFT algorithm. Changes of the spectral power were visualized using spectrograms which were created by stacking single-trial spectra across all trials. Measures of the absolute and the relative spectral power were calculated and compared statistically.
RESULTS
In schizophrenia, the energy density of VEP oscillations is shifted towards higher (gamma) frequencies, compared to healthy individuals. These differences are statistically significant in all analysed frequency bands for the relative power. This indicates distorted early processing of visual stimuli in schizophrenia.
COMPARISON WITH EXISTING METHODS
The main advantage of the presented methodology is its simplicity and ease of interpretation of obtained results. The presented observations complement the knowledge on gamma oscillations acquired from computationally more complex methods of time-frequency analysis.
CONCLUSIONS
High-frequency changes for single-trial VEPs are detected in chronic schizophrenia.

Identifiants

pubmed: 35643192
pii: S0165-0270(22)00153-4
doi: 10.1016/j.jneumeth.2022.109626
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109626

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Lech Kipiński (L)

Department of Pathophysiology, Wrocław Medical University, Wrocław 50-367, Poland. Electronic address: lech.kipinski@umw.edu.pl.

Andrzej Maciejowski (A)

Independent Research Scientist.

Krzysztof Małyszczak (K)

Department and Clinic of Psychiatry, Wrocław Medical University, Wrocław 50-367, Poland.

Witold Pilecki (W)

University of Medical Sciences in Legnica, Legnica 59-220, Poland.

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