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Objective rest-activity cycle analysis by actigraphy identifies isolated rapid eye movement sleep behavior disorder
M Filardi1, A Stefani2, E Holzknecht2
1Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
European Journal of Neurology
|June 10, 2020
Summary
Rest-activity rhythm analysis, specifically the I < O index, can effectively identify isolated REM sleep behavior disorder (iRBD) patients. This method aids in screening large populations for iRBD, a precursor to synucleinopathies.
Area of Science:
- Neurology
- Sleep Medicine
- Biomarkers
Background:
- Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) is a prodromal stage of synucleinopathies.
- Early identification of iRBD is crucial for timely intervention.
- Current screening methods may have limitations in distinguishing iRBD from other sleep disorders.
Purpose of the Study:
- To investigate the utility of rest-activity rhythm features in differentiating iRBD patients from those with other motor sleep disorders and healthy controls.
- To assess whether actigraphy-derived metrics can serve as objective biomarkers for iRBD detection.
Main Methods:
- Nineteen iRBD patients, 39 patients with other motor sleep disorders (RLS, SAS), and 16 healthy controls underwent 2-week actigraphy and polysomnography.
- Non-parametric analyses were used to evaluate rest-activity rhythm features, including the I < O index.
- REM sleep behavior disorder screening questionnaires were also administered.
Main Results:
- iRBD patients exhibited lower sleep efficiency, increased wake after sleep onset, and more frequent prolonged activity bouts compared to RLS patients and controls.
- The I < O index effectively distinguished iRBD patients from RLS, SAS, and controls, outperforming screening questionnaires.
- An I < O value of 98.32 demonstrated optimal sensitivity (63.2%) and specificity (89.1%).
Conclusions:
- The I < O index derived from actigraphy is a valuable objective measure for screening iRBD in large populations.
- This approach can aid in identifying individuals at risk for synucleinopathies.
- Rest-activity rhythm analysis offers a promising tool for early iRBD detection.
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