SLEEP Advances2025Luis Alfredo Moctezuma, Marta Molinas, Takashi Abe1 citation
Abstract This study proposes a method to automatically identify dream experience (DE) and no experience (NE) during the sleep stage N2 of nonrapid eye movement (NREM). We investigated the use of machine learning (ML) to automatically identify when a subject is having a dream during NREM from electroencephalography (EEG) signals. We use permutation-based channel selection to identify the most...
The immersive environments of virtual reality (VR) have potential to engender a vast range of experiences. Although participants recognize these experiences as artificial, the consequences can still be profound. Compared to VR, lucid dreams-characterized by awareness that one is dreaming-potentially allow for even more expansive explorations of immersive multisensory experience. Furthermore,...
This study aimed to investigate relationships between lucid dreaming and sleep and mental health outcomes within a representative sample of the general population. We also sought to examine how nightmares interact with the relationship between lucid dreaming, sleep, and mental health outcomes. Participants (N = 1332) completed measures of lucid dream frequency, nightmare frequency, anxiety and...