Literature DB >> 26781046

Alpha-wave frequency characteristics in health and insomnia during sleep.

Justus T C Schwabedal1, Maik Riedl2, Thomas Penzel3, Niels Wessel2.   

Abstract

Appearances of alpha waves in the sleep electrencephalogram indicate physiological, brief states of awakening that lie in between wakefulness and sleep. These microstates may also cause the loss in sleep quality experienced by individuals suffering from insomnia. To distinguish such pathological awakenings from physiological ones, differences in alpha-wave characteristics between transient awakening and wakefulness observed before the onset of sleep were studied. In polysomnographic datasets of sleep-healthy participants (n = 18) and patients with insomnia (n = 10), alpha waves were extracted from the relaxed, wake state before sleep onset, wake after sleep-onset periods and arousals of sleep. In these, alpha frequency and variability were determined as the median and standard deviation of inverse peak-to-peak intervals. Before sleep onset, patients with insomnia showed a decreased alpha variability compared with healthy participants (P < 0.05). After sleep onset, both groups showed patterns of decreased alpha frequency that was lower for wake after sleep-onset periods of shorter duration. For patients with insomnia, alpha variability increased for short wake after sleep-onset periods. Major differences between the two groups were encountered during arousal. In particular, the alpha frequency in patients with insomnia rebounded to wake levels, while the frequency in healthy participants remained at the reduced level of short wake after sleep-onset periods. Reductions in alpha frequency during wake after sleep-onset periods may be related to the microstate between sleep and wakefulness that was described for such brief awakenings. Reduced alpha variability before sleep may indicate a dysfunction of the alpha generation mechanism in insomnia. Alpha characteristics may also prove valuable in the study of other sleep and attention disorders.
© 2016 European Sleep Research Society.

Entities:  

Keywords:  Wake after sleep onset (WASO), and phase description; arousals; electroencephalography

Mesh:

Year:  2016        PMID: 26781046     DOI: 10.1111/jsr.12372

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  6 in total

1.  The Need for a Reliable Sleep EEG Biomarker.

Authors:  Thomas Penzel; Ingo Fietze; Christian Veauthier
Journal:  J Clin Sleep Med       Date:  2017-06-15       Impact factor: 4.062

2.  A quantitative theory of gamma synchronization in macaque V1.

Authors:  Eric Lowet; Mark J Roberts; Alina Peter; Bart Gips; Peter De Weerd
Journal:  Elife       Date:  2017-08-31       Impact factor: 8.140

3.  Coupling and dynamics of cortical and autonomic signals are linked to central inhibition during the wake-sleep transition.

Authors:  Christine Ulke; Jue Huang; Justus T C Schwabedal; Galina Surova; Roland Mergl; Tilman Hensch
Journal:  Sci Rep       Date:  2017-09-18       Impact factor: 4.379

4.  Alpha-wave Characteristics in Psychophysiological Insomnia.

Authors:  Mohammad Rezaei; Hiwa Mohammadi; Habibolah Khazaie
Journal:  J Med Signals Sens       Date:  2019-10-24

5.  A pilot study on essential oil aroma stimulation for enhancing slow-wave EEG in sleeping brain.

Authors:  Li-Wei Ko; Cheng-Hua Su; Meng-Hsun Yang; Shen-Yi Liu; Tung-Ping Su
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

6.  Changes in EEG Alpha Activity during Attention Control in Patients: Association with Sleep Disorders.

Authors:  Anastasiya Runnova; Anton Selskii; Anton Kiselev; Rail Shamionov; Ruzanna Parsamyan; Maksim Zhuravlev
Journal:  J Pers Med       Date:  2021-06-25
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.