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Updated: Jul 10, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Polysomnographic (PSG) Characteristics of Sleep Behaviour in Parkinson's Disease: A Brief Report
Beatrix Feigl1,2, Subodh Gnyawali1, Lucy D Burr3,4
1School of Medicine, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Abstract:
Polysomnography (PSG) is widely used for verifying sleep disruption in Parkinson's disease (PD). However, the determination of impacted PSG parameters specific to PD is complicated by the heterogeneity of study populations, control groups, as well as scoring systems. This brief report aims to account for these variables by comparing PSG results from a well-defined group of people with mild to moderate PD (n = 57) to a large, normative age and gender-matched PSG dataset. We show that every participant with PD had abnormalities in the PSG macrostructure parameters. There were heterogenous and bidirectional changes in the sleep architecture between patients, even when minimising for effects of age, gender, and scoring method. A generalised inference concerning the manifestation of common PSG sleep macrostructure changes presenting in PD cannot be made. The categorisation of sleep structure in PD should recognise its heterogeneity and bidirectionality and involve extended analysis of sleep microstructure.
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