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Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia
- Source :
- European Psychiatry, Vol 65, Pp S120-S120 (2022)
- Publication Year :
- 2022
- Publisher :
- Cambridge University Press, 2022.
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Abstract
- 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.
- Subjects :
- Insomnia
spectral power density
beta power
qEEG
Psychiatry
RC435-571
Subjects
Details
- Language :
- English
- ISSN :
- 09249338 and 17783585
- Volume :
- 65
- Database :
- Directory of Open Access Journals
- Journal :
- European Psychiatry
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2ceaf9da06654135be26ad7f749b24c8
- Document Type :
- article
- Full Text :
- https://doi.org/10.1192/j.eurpsy.2022.332