Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia
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 sam...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2022-06-01
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| Series: | European Psychiatry |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933822003327/type/journal_article |
| _version_ | 1797616277041184768 |
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| author | J.M. Kang S.-E. Cho S.-G. Kang |
| author_facet | J.M. Kang S.-E. Cho S.-G. Kang |
| author_sort | J.M. Kang |
| collection | DOAJ |
| description |
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.
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| first_indexed | 2024-03-11T07:38:50Z |
| format | Article |
| id | doaj.art-2ceaf9da06654135be26ad7f749b24c8 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:38:50Z |
| publishDate | 2022-06-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-2ceaf9da06654135be26ad7f749b24c82023-11-17T05:08:56ZengCambridge University PressEuropean Psychiatry0924-93381778-35852022-06-0165S120S12010.1192/j.eurpsy.2022.332Difference in spectral power density of sleep electroencephalography in individuals with or without insomniaJ.M. Kang0S.-E. Cho1S.-G. Kang2Gachon University Gil Medical Center, College of Medicine, Department Of Psychiatry, Incheon, Korea, Republic ofGachon University Gil Medical Center, College of Medicine, Department Of Psychiatry, Incheon, Korea, Republic ofGachon University Gil Medical Center, College of Medicine, Department Of Psychiatry, Incheon, Korea, Republic of 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. https://www.cambridge.org/core/product/identifier/S0924933822003327/type/journal_articleInsomniaspectral power densitybeta powerqEEG |
| spellingShingle | J.M. Kang S.-E. Cho S.-G. Kang Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia European Psychiatry Insomnia spectral power density beta power qEEG |
| title | Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia |
| title_full | Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia |
| title_fullStr | Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia |
| title_full_unstemmed | Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia |
| title_short | Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia |
| title_sort | difference in spectral power density of sleep electroencephalography in individuals with or without insomnia |
| topic | Insomnia spectral power density beta power qEEG |
| url | https://www.cambridge.org/core/product/identifier/S0924933822003327/type/journal_article |
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