Abstract
Lucid dreaming, a type of dreaming where individuals are aware that they are dreaming and may control their dreams, was examined in adults with chronic PTSD symptoms. The study explored the relationship between sleep metrics and lucid dreaming, analyzing 168 nights of sleep data from 27 individuals using portable EEG headsets. Participants reported lucid dreams on 25 nights. To identify key predictors of lucid dreaming, the study employed generalized linear modeling (GLM) with 5-fold cross-validation to reduce statistical bias. Sleep Onset Latency, the time it takes to fall asleep, consistently emerged as the strongest predictor. Longer latency was associated with a lower likelihood of lucid dreaming, suggesting that specific patterns of sleep onset play a critical role. Wake After Sleep Onset, which measures sleep fragmentation, was positively correlated with lucid dreaming, indicating that more interrupted sleep might increase the chances of achieving lucidity. Additionally, lower delta wave (1-2 Hz) activity during REM sleep, often linked to deeper sleep, was negatively associated with lucid dreaming. These findings underscore the intricate interplay between sleep quality, brainwave activity, and the occurrence of lucid dreaming. The results highlight sleep metrics that could guide future therapeutic strategies, particularly for individuals with PTSD, by improving sleep quality and leveraging lucid dreaming to manage symptoms such as nightmares. Furthermore, the insights gained from this research may extend to the general population, broadening our understanding of the mechanisms and potential benefits of lucid dreaming.
