AI Article Synopsis
- Sleep state misperception (SSM) is a common issue in insomnia disorder, leading to differences between perceived and actual sleep times, which can worsen daytime functioning.
- The study examined how various sleep measurements (like brain activity patterns) relate to misperceptions of sleep latency (the time taken to fall asleep) and total sleep time in patients with insomnia.
- Results showed that increased alpha brain activity during sleep onset correlates with misperceptions about sleep duration, reinforcing the idea that heightened brain arousal contributes to SSM difficulties in insomnia patients.
Article Abstract
Sleep state misperception (SSM) is a common issue in insomnia disorder (ID), causing a discrepancy between objective and subjective sleep/wake time estimation and increased daytime impairments. In this context, the hyperarousal theory assumes that sustained central nervous system activation contributes to the SSM. This study investigates factors influencing SSM during sleep latency (SL) and total sleep time (TST). Objective polysomnographic sleep variables (the alpha density index, latency-to-sleep stages and the first K-complex, and Rapid Eye Movement (REM) arousal density) and subjective sleep indices, taken from sleep diaries, were analyzed in 16 ID patients. Correlation analyses revealed a positive association between the degree of SL misperception (SLm) and the percentage of epochs that contained a visually scored stereotyped alpha rhythm during objective SL. A regression analysis showed that the REM arousal density and alpha density index significantly predicted TST misperception (TSTm). Furthermore, the degree of SLm was associated with an increased probability of transitioning from stage 1 of non-REM sleep to wakefulness during subjective SL. These findings support the role of hyperarousal in SSM and highlight the importance of alpha activity in unravelling the heterogeneous underpinnings of SSM.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10813212 | PMC |
| http://dx.doi.org/10.3390/brainsci14010097 | DOI Listing |
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