0208 Behavioral phenotyping based on physical inactivity can predict sleep in female rats before, during, and after sleep disruption

Abstract Introduction Poor sleep affects health. Noise exposure reduces and disrupts in a sex-dependent manner. Non-invasive methods to predict vigilance states have not been tested female rodents, even though is due hormonal changes across the estrous cycle. Here, we hypothesis that duration of physical inactivity (PIA) would 1) change with differences baseline between light dark cycle phases 2) before, during, after disruption (SD) independent circadian phase Methods Female Sprague-Dawley rats (N=5) implanted EEG EMG leads had EEG, EMG, activity measured continuously during SD caused by noise (i.e., baseline, SD, recovery for 4d each study period). Sleep was determined based on two [EEG/EMG criterion continuous (PIA)]. Reliability previously validated (40s). Sensitivity analyses criterion-related validity were conducted multiple criteria (10-120s). Predictability calculated. Results The 10-30s predicted 30s noise-induced but no 10s 24h period, respectively. Thus, range manner dependent Conclusion Although single sleep, different durations PIA, which phase, period. Hence, this validates non-invasive method measure suggests menstrual should be considered when developing measuring women. Support (if any) US Department Agriculture