Literature DB >> 29680498

Sleep EEG spectral power is correlated with subjective-objective discrepancy of sleep onset latency in major depressive disorder.

Seung-Gul Kang1, Sara Mariani2, Stephanie A Marvin2, Kwang-Pil Ko3, Susan Redline4, John W Winkelman5.   

Abstract

We aimed to identify the sleep electroencephalography (EEG) spectral power correlates of the subjective-objective discrepancy (SOD) of sleep onset latency (SOL) in major depressive disorder (MDD), primary insomnia (PI), and normal sleeping control (NSC) groups. We examined relative power values in standard frequency bands of the EEG spectra during the first Non-Rapid Eye Movement (NREM) sleep period as correlates of SOD of SOL between sleep diary and polysomnography in MDD (n = 36), PI (n = 19), and NSC (n = 23) groups. We also compared the relative spectral power of sleep EEG among MDD (n = 40), PI (n = 19), and NSC (n = 23) groups. SOD of SOL in MDD patients was positively correlated with relative sigma (r = 0.622, p corrected < 0.001), beta power (r = 0.559, p corrected = 0.002), and alpha power (r = 0.469, p corrected = 0.024) in the first NREM sleep period. There was no significant difference of sleep EEG power spectra among the three groups. SOD was positively correlated with high frequency EEG in MDD. High frequency EEG power is thought to be associated with hyperarousal and memory consolidation, and future larger-scale studies may further elucidate the neurophysiological mechanisms underlying SOD of sleep onset duration.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hyperarousal; Major depressive disorder; Paradoxical insomnia; Polysomnography; Primary insomnia; Sleep EEG; Sleep onset latency; Spectral power

Mesh:

Year:  2018        PMID: 29680498     DOI: 10.1016/j.pnpbp.2018.04.010

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  4 in total

1.  Profile of subjective-objective sleep discrepancy in patients with insomnia and sleep apnea.

Authors:  Yan Ma; Michael R Goldstein; Roger B Davis; Gloria Y Yeh
Journal:  J Clin Sleep Med       Date:  2021-11-01       Impact factor: 4.324

2.  A Novel Microwave Treatment for Sleep Disorders and Classification of Sleep Stages Using Multi-Scale Entropy.

Authors:  Daoshuang Geng; Daoguo Yang; Miao Cai; Lixia Zheng
Journal:  Entropy (Basel)       Date:  2020-03-17       Impact factor: 2.524

3.  Insomnia subtypes characterised by objective sleep duration and NREM spectral power and the effect of acute sleep restriction: an exploratory analysis.

Authors:  Chien-Hui Kao; Angela L D'Rozario; Nicole Lovato; Rick Wassing; Delwyn Bartlett; Negar Memarian; Paola Espinel; Jong-Won Kim; Ronald R Grunstein; Christopher J Gordon
Journal:  Sci Rep       Date:  2021-12-21       Impact factor: 4.379

4.  Spectral sleep electroencephalographic correlates of sleep efficiency, and discrepancies between actigraphy and self-reported measures, in older men.

Authors:  Stephen F Smagula; Tamar Sofer; Na Guo; Michael Prerau; Shaun Purcell; Sara Mariani; Kristine Yaffe; Susan Redline; Katie L Stone
Journal:  J Sleep Res       Date:  2020-03-21       Impact factor: 5.296

  4 in total

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