Electrophysiological correlates of lucid dreaming: sensor and source level signatures
Çağatay Demirel, Jarrod Gott, Kristoffer Appel, Katharina Lüth, Christian Fischer, Cecilia Raffaelli, Britta Westner, Xinlin Wang, Zsófia Zavecz, Axel Steiger, Daniel Erlacher, Stephen LaBerge, Sérgio Mota-Rolim, Sidarta Ribeiro, Marcel Zeising, Nico Adelhöfer, Martin Dresler
bioRxiv Preprint Server April 9, 2024 preprint DOI: 10.1101/2024.04.09.588765 via bioRxiv
Summary
AI-generated from the abstractLucid dreaming, a state of conscious awareness during REM sleep, is associated with specific brain activity patterns. Compared to non-lucid REM sleep, EEG sensor-level differences were few. However, source-level analysis revealed increased gamma1 power (30-36 Hz) in left-hemispheric temporal areas during lucid dreaming, potentially reflecting verbal insight processes, and in right temporo-occipital regions including the precuneus around the onset of lucid eye signaling, linked to self-referential thinking. Beta power (12-30 Hz) decreased in right central and parietal areas including the temporo-parietal junction, possibly related to conscious reality assessment. Alpha-band (8-12 Hz) functional connectivity increased, contrasting with psychedelic states and highlighting enhanced self-awareness.
Study at a glance
| Characteristics | Observational cohort |
|---|---|
| Sample size | 44 |
| Population | Participants with lucid dreaming data collected across laboratories |
| Topics | Lucid dreaming |
| Keywords | Dream consciousness Self-aware dreaming Brain science Neurobiology |
| Citations | 2 |
| Key finding | Lucid dreaming shows increased gamma1 power in left temporal and right temporo-occipital areas, decreased beta power in right central and parietal regions, and increased alpha-band functional connectivity compared to non-lucid REM sleep. |
Abstract
Lucid dreaming (LD) is a state of conscious awareness of the current dream state, predominantly associated with REM sleep. Research progress in uncovering the neurobiological basis of LD has been hindered by low sample sizes, diverse EEG setups, and specific artifact issues like saccadic eye movements and signal non-stationarity. To address these matters, we developed a multi-stage preprocessing pipeline that integrates standardized early-stage preprocessing, artifact subspace reconstruction, and signal-space projection. This approach enhanced data quality by precisely removing saccadic potential effects even in setups with minimal channels. To robustly identify the electrophysiological correlates of LD, we applied this methodology to LD data collected across laboratories (pooled N = 44) and explored sensor-and source-level markers hypothesized to underlie LD. Compared to non-lucid REM sleep, we observed few robust differences on the EEG sensor level, which is in line with recent findings. In contrast, on the source level, gamma1 power (30-36 Hz) showed increases during LD in left-hemispheric temporal areas, which might reflect verbal insight processes. Gamma1 power also increased around the onset of LD eye signaling in right temporo-occipital regions including the right precuneus, in line with its involvement in self-referential thinking. Reductions in beta power (12-30 Hz) during LD in right central and parietal areas including the temporo-parietal junction are potentially associated with a conscious reassessment of the veridicality of the currently perceived reality. Notably, functional connectivity in alpha band (8-12 Hz) increased during LD, in contrast to the reductions typically seen in psychedelic states, highlighting enhanced self-awareness. Taken together, these findings illuminate the electrophysiological correlates of LD state, and may serve as a basis to uncover neural mechanisms at the time point of lucid dream insight.