0208 Behavioral phenotyping based on physical inactivity can predict sleep in female rats before, during, and after sleep disruption
Year: 2023
Type: conference-abstract
Abstract: Introduction Poor sleep affects health. Noise exposure reduces and disrupts sleep in a sex-dependent manner. Non-invasive methods to predict vigilance states have not been tested in female rodents, even though sleep is sex-dependent due to hormonal changes across the estrous cycle. Here, we tested the hypothesis that the duration of physical inactivity (PIA) would 1) change with the differences in baseline sleep between the light and dark cycle and estrous cycle phases and 2) predict sleep and the change in sleep before, during, and after sleep disruption (SD) independent of circadian phase and estrous cycle. Methods Female Sprague-Dawley rats (N=5) implanted with EEG and EMG leads had EEG, EMG, and physical activity measured continuously before, during and after SD caused by noise exposure (i.e., baseline, SD, and recovery for 4d during each study period). Sleep was determined based on two methods [EEG/EMG and a criterion based on the duration of continuous (PIA)]. Reliability was tested with a previously validated criterion (40s). Sensitivity analyses and criterion-related validity analyses for sleep during SD and recovery were conducted across multiple criteria (10-120s). Predictability between the two methods and changes in sleep were calculated. Results The 10-30s criteria predicted baseline sleep independent of circadian phase and estrous cycle. The 30s criterion predicted noise-induced SD for the light cycle but no criterion predicted change in sleep for the light cycle. The 10s and 30s criteria predicted noise-induced SD and change in sleep for the dark cycle and 24h period, respectively. Thus, criteria in the 10-30s range predicted recovery sleep and the change in sleep in a manner that was dependent on circadian phase and estrous cycle. Conclusion Although a single criterion predicted baseline sleep, sleep during SD and recovery were predicted by different durations of PIA, which were dependent on the circadian phase, phase of the estrous cycle and study period. Hence, this study validates a non-invasive method to measure sleep in female rats and suggests that menstrual phase should be considered when developing non-invasive methods for measuring sleep in women. Support (if any) US Department of Agriculture
Source: SLEEP
Institution: University of Arizona
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4378673721