Literature DB >> 33716946

EEG Power Spectral Analysis of Abnormal Cortical Activations During REM/NREM Sleep in Obstructive Sleep Apnea.

Shuling Liu1, Jiucheng Shen2, Yezhou Li3, Jing Wang2, Jianhua Wang1, Juan Xu1, Qiaojun Wang4, Rui Chen1.   

Abstract

Objective: To characterize electroencephalogram (EEG) power in different frequency bands during rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep in patients with obstructive sleep apnea (OSA).
Methods: Retrospective data on 151 patients were collected and divided into three groups: primary snoring group (AHI < 5/h), mild-moderate OSA group (6 ≤ AHI < 30/h), and severe OSA group (AHI ≥ 30/h). EEG recordings in the frontal, central, and occipital regions were extracted from both REM and NREM sleep, to compute the normalized spectral power densities in the delta, theta, alpha, sigma, beta, and gamma frequency bands, using Fast Fourier Transform. Correlations between the computed EEG power and PSG parameters were analyzed.
Results: In NREM sleep, elevated normalized power spectral density (PSD) in the delta band was observed in the severe OSA group compared to the other two groups. In contrast, the PSD of the other frequency bands showed a corresponding decrease in the severe OSA group. In REM sleep, similar changes were observed in the frontal region. Delta band PSD was positively correlated with Apnea Hypopnea Index (AHI) (r = 0.33), longest time of apnea, oxygen desaturation index (ODI) (r = 0.34), percent sleep time below 90% SaO2 (T90%) (r = 0.30), Arousal Index (ArI) (r = 0.29), and negatively correlated with N3%, minimum oxygen saturation (minSaO2).
Conclusion: Our findings provide neurophysiological evidence for pathological cortical activation during REM/NREM sleep, which may be associated with the arousals and cognitive impairments in OSA. The technique of power spectral analysis could prove a potentially useful tool in complementing traditional PSG parameters in assessing disease burden to guide therapeutic decisions.
Copyright © 2021 Liu, Shen, Li, Wang, Wang, Xu, Wang and Chen.

Entities:  

Keywords:  REM and NREM sleep; normalized EEG power; obstructive sleep apnea; polysomnography; power spectral analysis

Year:  2021        PMID: 33716946      PMCID: PMC7953149          DOI: 10.3389/fneur.2021.643855

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


  48 in total

1.  Quantitative sleep EEG and polysomnographic predictors of driving simulator performance in obstructive sleep apnea.

Authors:  Andrew Vakulin; Angela D'Rozario; Jong-Won Kim; Brooke Watson; Nathan Cross; David Wang; Alessandra Coeytaux; Delwyn Bartlett; Keith Wong; Ronald Grunstein
Journal:  Clin Neurophysiol       Date:  2015-09-25       Impact factor: 3.708

2.  Intermittent hypoxia causes REM sleep deficits and decreases EEG delta power in NREM sleep in the C57BL/6J mouse.

Authors:  Vsevolod Y Polotsky; Arnon E Rubin; Alex Balbir; Terry Dean; Philip L Smith; Alan R Schwartz; Christopher P O'Donnell
Journal:  Sleep Med       Date:  2005-11-23       Impact factor: 3.492

3.  Neurocognitive impairment in Chinese patients with obstructive sleep apnoea hypopnoea syndrome.

Authors:  Rui Chen; Kang-Ping Xiong; Juan-Ying Huang; Yi-Xin Lian; Fa Jin; Zhen-Hua Li; Min-Yan Zhao; Chun-Feng Liu
Journal:  Respirology       Date:  2011-07       Impact factor: 6.424

4.  Diagnosis and Management of Obstructive Sleep Apnea: A Review.

Authors:  Daniel J Gottlieb; Naresh M Punjabi
Journal:  JAMA       Date:  2020-04-14       Impact factor: 56.272

Review 5.  Obstructive sleep apnoea syndrome.

Authors:  Patrick Lévy; Malcolm Kohler; Walter T McNicholas; Ferran Barbé; R Doug McEvoy; Virend K Somers; Lena Lavie; Jean-Louis Pépin
Journal:  Nat Rev Dis Primers       Date:  2015-06-25       Impact factor: 52.329

6.  Upper airway function and arousability to ventilatory challenge in slow wave versus stage 2 sleep in obstructive sleep apnoea.

Authors:  Rajeev Ratnavadivel; Daniel Stadler; Samantha Windler; Jana Bradley; Denzil Paul; R Douglas McEvoy; Peter G Catcheside
Journal:  Thorax       Date:  2009-10-22       Impact factor: 9.139

7.  Severity of individual obstruction events increases with age in patients with obstructive sleep apnea.

Authors:  Timo Leppänen; Juha Töyräs; Esa Mervaala; Thomas Penzel; Antti Kulkas
Journal:  Sleep Med       Date:  2017-06-24       Impact factor: 3.492

Review 8.  Defining common outcome metrics used in obstructive sleep apnea.

Authors:  Baha A Al-Shawwa; Arunkumar N Badi; Andrew N Goldberg; B Tucker Woodson
Journal:  Sleep Med Rev       Date:  2008-12       Impact factor: 11.609

Review 9.  Sleep-disordered breathing: effects on brain structure and function.

Authors:  Ronald M Harper; Rajesh Kumar; Jennifer A Ogren; Paul M Macey
Journal:  Respir Physiol Neurobiol       Date:  2013-05-01       Impact factor: 1.931

10.  Visual Imagery and Perception Share Neural Representations in the Alpha Frequency Band.

Authors:  Siying Xie; Daniel Kaiser; Radoslaw M Cichy
Journal:  Curr Biol       Date:  2020-06-11       Impact factor: 10.834

View more
  2 in total

1.  Fuzzy Approximate Entropy of Extrema Based on Multiple Moving Averages as a Novel Approach in Obstructive Sleep Apnea Screening.

Authors:  Peiyu Weng; Keming Wei; Tian Chen; Mingjing Chen; Guanzheng Liu
Journal:  IEEE J Transl Eng Health Med       Date:  2022-08-11

2.  Electroencephalography Theta/Beta Ratio Decreases in Patients with Severe Obstructive Sleep Apnea.

Authors:  Jingjing Li; Jingyuan You; Guoping Yin; Jinkun Xu; Yuhuan Zhang; Xuemei Yuan; Qiang Chen; Jingying Ye
Journal:  Nat Sci Sleep       Date:  2022-05-30
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.