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.