ArticleJournal of Parkinson's disease2023
Quantitative Sleep Electroencephalogram in Parkinson's Disease: A Case-Control Study.
Article in Journal of Parkinson's disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Enhancing sleep slow waves with auditory stimulation in people with Parkinson's disease: a randomized proof-of-concept trial.Scientific reports · 2026Trial
- Bidirectional Mechanisms Linking Circadian Rhythm Disruption and Parkinson's Disease: Chronobiomarkers and Therapeutic Implications.International journal of molecular sciences · 2026Review
- Associations Between Daily Step Counts and Sleep Parameters in Parkinson's Disease: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Alterations in non-REM sleep and EEG spectra precede REM-sleep deficits in a model of synucleinopathy.Journal of Parkinson's disease · 2025Article
- Effects of deep brain stimulation on quantitative sleep electroencephalogram during non-rapid eye movement in Parkinson's disease.Frontiers in human neuroscience · 2023Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSleep disorders are common in Parkinson's disease (PD) and include alterations in sleep-related EEG oscillations.
objectiveThis 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.
methodsPolysomnography (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.
resultsSW 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).
conclusionThis 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.
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