| Popis: |
Markers predictive of Parkinson’s disease (PD)-mild cognitive impairment (PD-MCI) have potential to serve as outcomes in trials investigating disease-modifying therapies. This prospective, longitudinal study examined relationships between NREM quantitative sleep electroencephalography (qEEG) and cognition in 56 participants with PD. Sleep qEEG outcomes included slow wave (SW) density, spindle density, and SW-spindle coupling, evaluated cross-sectionally and as longitudinal predictors of PD-MCI in a subset of 26 participants. At baseline, SW density, spindle density, and SW-spindle coupling were correlated with cognition. Baseline SW and spindle density predicted longitudinal development of PD-MCI. The model with the highest combined sensitivity and specificity for predicting longitudinal development of PD-MCI included spindle density, SW density, comprehensive cognitive score, and levodopa equivalent dose. These findings suggest that sleep qEEG features can identify individuals at risk for PD-MCI. Thus, spindles and SW have potential to serve as markers to optimize clinical trial populations and tailor clinical care. |
