Quantitative Sleep Electroencephalogram in Parkinson’s Disease: A Case-Control Study

Author:

Memon Adeel A.123,Catiul Corina1,Irwin Zachary34,Pilkington Jennifer1,Memon Raima A.56,Joop Allen1,Wood Kimberly H.17,Cutter Gary8,Miocinovic Svjetlana9,Amara Amy W.110

Affiliation:

1. Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA

2. Rockefeller Neuroscience Institute, Department of Neurology, West Virginia University, Morgantown, WV, USA

3. Neuroengineering Ph.D. program, University of Alabama at Birmingham, Birmingham, AL, USA

4. Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA

5. Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA

6. Department of Pathology, Mayo Clinic, Rochester, MN, USA

7. Department of Psychology, Samford University, Birmingham, AL, USA

8. Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA

9. Department of Neurology, Emory University, Atlanta, GA, USA

10. Department of Neurology, University of Colorado, Anschutz Medical Center, Aurora, CO, USA

Abstract

Background: Sleep disorders are common in Parkinson’s disease (PD) and include alterations in sleep-related EEG oscillations. Objective: This case-control study tested the hypothesis that patients with PD would have a lower density of Scalp-Slow Wave (SW) oscillations and higher slow-to-fast frequencies ratio in rapid eye movement (REM) sleep than non-PD controls. Other sleep-related quantitative EEG (qEEG) features were also examined, including SW morphology, sleep spindles, and Scalp-SW spindle phase-amplitude coupling. Methods: Polysomnography (PSG)-derived sleep EEG was compared between PD participants (n = 56) and non-PD controls (n = 30). Following artifact rejection, sleep qEEG analysis was performed in frontal and central leads. Measures included SW density and morphological features of SW and sleep spindles, SW-spindle phase-amplitude coupling, and spectral power analysis in Non-REM (NREM) and REM. Differences in qEEG features between PD and non-PD controls were compared using two-tailed Welch’s t-tests, and correction for multiple comparisons was performed per the Benjamini-Hochberg method. Results: SW density was lower in PD than in non-PD controls (F = 13.5, p’ = 0.003). The PD group also exhibited higher ratio of slow REM EEG frequencies (F = 4.23, p’ = 0.013), higher slow spindle peak frequency (F = 24.7, p’ < 0.002), and greater SW-spindle coupling angle distribution non-uniformity (strength) (F = 7.30, p’ = 0.034). Conclusion: This study comprehensively evaluates sleep qEEG including SW-spindle phase amplitude coupling in PD compared to non-PD controls. These findings provide novel insights into how neurodegenerative disease disrupts electrophysiological sleep rhythms. Considering the role of sleep oscillatory activity on neural plasticity, future studies should investigate the influence of these qEEG markers on cognition in PD.

Publisher

IOS Press

Subject

Cellular and Molecular Neuroscience,Neurology (clinical)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3