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Hyperarousal-state of Insomnia Disorder in Wake-resting State Quantitative Electroencephalography

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dc.contributor.author김찬형-
dc.date.accessioned2024-10-04T02:27:37Z-
dc.date.available2024-10-04T02:27:37Z-
dc.date.issued2024-02-
dc.identifier.issn1738-1088-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/200505-
dc.description.abstractObjective: Insomnia is associated with elevated high-frequency electroencephalogram power in the waking state. Although affective symptoms (e.g., depression and anxiety) are commonly comorbid with insomnia, few reports distinguished objective sleep disturbance from affective symptoms. In this study, we investigated whether daytime electroencephalographic activity explains insomnia, even after controlling for the effects of affective symptoms. Methods: A total of 107 participants were divided into the insomnia disorder (n = 58) and healthy control (n = 49) groups using the Mini-International Neuropsychiatric Interview and diagnostic criteria for insomnia disorder. The participants underwent daytime resting-state electroencephalography sessions (64 channels, eye-closed). Results: The insomnia group showed higher levels of anxiety, depression, and insomnia than the healthy group, as well as increased beta [t(105) = −2.56, p = 0.012] and gamma [t(105) = −2.44, p = 0.016] spectra. Among all participants, insomnia symptoms positively correlated with the intensity of beta (r = 0.28, p < 0.01) and gamma (r = 0.25, p <0.05) spectra. Through hierarchical multiple regression, the beta power showed the additional ability to predict insomnia symptoms beyond the effect of anxiety (ΔR2 = 0.041, p = 0.018). Conclusion: Our results showed a significant relationship between beta electroencephalographic activity and insomnia symptoms, after adjusting for other clinical correlates, and serve as further evidence for the hyperarousal theory of insomnia. Moreover, resting-state quantitative electroencephalography may be a supplementary tool to assess insomnia. Copyright© 2024, Korean College of Neuropsychopharmacology.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish, Korean-
dc.publisherKorean College of Neuropsychopharmacology-
dc.relation.isPartOfCLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleHyperarousal-state of Insomnia Disorder in Wake-resting State Quantitative Electroencephalography-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Psychiatry (정신과학교실)-
dc.contributor.googleauthorGyutae Jang-
dc.contributor.googleauthorHan Wool Jung-
dc.contributor.googleauthorJiheon Kim-
dc.contributor.googleauthorHansol Kim-
dc.contributor.googleauthorJi-Hyeon Shin-
dc.contributor.googleauthorChan-Hyung Kim-
dc.contributor.googleauthorDo-Hoon Kim-
dc.contributor.googleauthorSang-Kyu Lee-
dc.contributor.googleauthorDaeyoung Roh-
dc.identifier.doi10.9758/cpn.23.1063-
dc.contributor.localIdA01036-
dc.relation.journalcodeJ00609-
dc.identifier.eissn2093-4327-
dc.identifier.pmid38247416-
dc.subject.keywordHamilton Anxiety Rating Scale-
dc.subject.keywordHamilton Depression Rating Scale-
dc.subject.keywordPittsburgh Sleep Quality Index-
dc.subject.keywordSpectral power analysis-
dc.contributor.alternativeNameKim, Chan Hyung-
dc.contributor.affiliatedAuthor김찬형-
dc.citation.volume22-
dc.citation.number1-
dc.citation.startPage95-
dc.citation.endPage104-
dc.identifier.bibliographicCitationCLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE, Vol.22(1) : 95-104, 2024-02-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers

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