Performance of the Dreem 2 EEG headband, relative to polysomnography, for assessing sleep in Parkinson’s disease

GOAL AND AIMS:To pilot the feasibility and evaluate the performance of an EEG wearable for measuring sleep in individuals with Parkinson's disease. FOCUS TECHNOLOGY:Dreem Headband, Version 2. REFERENCE TECHNOLOGY:Polysomnography. SAMPLE:Ten individuals with Parkinson's disease. DESIGN:Individuals wore Dreem Headband during a single night of polysomnography. CORE ANALYTICS:Comparison of summary metrics, bias, and epoch-by-epoch analysis. ADDITIONAL ANALYTICS AND EXPLORATORY ANALYSES:Correlation of summary metrics with demographic and Parkinson's disease characteristics. CORE OUTCOMES:Summary statistics showed Dreem Headband overestimated several sleep metrics, including total sleep, efficiency, deep sleep, and rapid eye movement sleep, with an exception in light sleep. Epoch-by-epoch analysis showed greater specificity than sensitivity, with adequate accuracy across sleep stages (0.55-0.82). IMPORTANT SUPPLEMENTAL OUTCOMES:Greater Parkinson's disease duration and rapid eye movement behavior were associated with more wakefulness, and worse Parkinson's disease motor symptoms were associated with less deep sleep. CORE CONCLUSION:The Dreem Headband performs similarly in Parkinson's disease as it did in non-Parkinson's disease samples and shows promise for improving access to sleep assessment in people with Parkinson's disease.