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Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia

Published online by Cambridge University Press:  01 September 2022

J.M. Kang ,
S.-E. Cho  and
S.-G. Kang
J.M. Kang*
Affiliation:
Gachon University Gil Medical Center, College of Medicine, Department Of Psychiatry, Incheon, Korea, Republic of
S.-E. Cho
Affiliation:
Gachon University Gil Medical Center, College of Medicine, Department Of Psychiatry, Incheon, Korea, Republic of
S.-G. Kang
Affiliation:
Gachon University Gil Medical Center, College of Medicine, Department Of Psychiatry, Incheon, Korea, Republic of
*
*Corresponding author.

Abstract

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Introduction

Power spectral analysis is the most common method of quantitative electroencephalogram (qEEG) techniques and enables investigation of the microstructure of insomnia. Previous spectral analysis studies on insomnia have shown inconsistent results due to their heterogeneity and small sample sizes.

Objectives

We compared the difference of electroencephalogram (EEG) spectral power during sleep among participants without insomnia, insomniacs with no hypnotic use, hypnotic users with no insomnia complaints, and hypnotic users with insomnia complaints.

Methods

We used the Sleep Heart Health Study data, which is large sample size and has good quality control. The fast Fourier transformation was used to calculate the EEG power spectrum for total sleep duration within contiguous 30-second epochs of sleep. For 1,985 participants, EEG spectral power was compared among the groups while adjusting for potential confounding factors that could affect sleep EEG.

Results

The power spectra during total sleep differed significantly among the groups in all frequency bands (p corr < 0.001). We found that quantitative EEG spectral power in the beta and sigma bands of total sleep differed (p corr < 0.001) between participants without insomnia and hypnotic users with insomnia complaints after controlling for potential confounders. The higher beta and sigma power were found in the hypnotic users with insomnia complaints than in the non-insomnia participants.

Conclusions

This study suggests differences in the microstructures of polysomnography-derived sleep EEG between the insomnia groups.

Disclosure

No significant relationships.

Keywords

Insomniaspectral power densitybeta powerqEEG
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S120
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 (http://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), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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