Optimal spindle detection parameters for predicting cognitive performance.

ABSTRACT:

Study objectives

Alterations in sleep spindles have been linked to cognitive impairment. This finding has contributed to a growing interest in identifying sleep-based biomarkers of cognition and neurodegeneration, including sleep spindles. However, flexibility surrounding spindle definitions and algorithm parameter settings present a methodological challenge. The aim of this study was to characterize how spindle detection parameter settings influence the association between spindle features and cognition and to identify parameters with the strongest association with cognition.

Methods

Adult patients (n = 167, 49 ± 18 years) completed the NIH Toolbox Cognition Battery after undergoing overnight diagnostic polysomnography recordings for suspected sleep disorders. We explored 1

SUBMITTER: Adra N 

PROVIDER: S-EPMC8996023 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature