Electrophysiological Correlates of Lucid Dreaming: Sensor and Source Level Signatures

Lucid dreaming (LD) is a state of conscious awareness of the ongoing oneiric state, predominantly linked to REM sleep. Progress in understanding its neurobiological basis has been hindered by small sample sizes, diverse EEG setups, and artifacts like saccadic eye movements. To address these challenges in characterizing the electrophysiological correlates of LD, we introduced an adaptive multistage preprocessing pipeline, applied to human data (male and female) pooled across laboratories, allowing us to explore sensor- and source-level markers of LD. We observed that, while sensor-level differences between LD and nonlucid REM sleep were minimal, mixed-frequency analysis revealed broad low alpha to gamma power reductions during LD compared with wakefulness. Source-level analyses showed significant beta power (12-30 Hz) reductions in right central and parietal areas, including the temporoparietal junction, during LD. Moreover, functional connectivity in the alpha band (8-12 Hz) increased during LD compared with nonlucid REM sleep. During initial LD eye signaling compared with the baseline, source-level gamma1 power (30-36 Hz) increased in right temporo-occipital regions, including the right precuneus. Finally, functional connectivity analysis revealed increased interhemispheric and inter-regional gamma1 connectivity during LD, reflecting widespread network engagement. These results suggest that distinct source-level power and connectivity patterns characterize the dynamic neural processes underlying LD, including shifts in network communication and regional activation that may underlie the specific changes in perception, memory processing, self-awareness, and cognitive control. Taken together, these findings illuminate the electrophysiological correlates of LD, laying the groundwork for decoding the mechanisms of this intriguing state of consciousness.

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Publication Details

Journal
Journal of Neuroscience
Published
2025-04-21
DOI
https://doi.org/10.1523/jneurosci.2237-24.2025
Citations
7
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
10.02
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article

Electrophysiological Correlates of Lucid Dreaming: Sensor and Source Level Signatures

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Journal of Neuroscience
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article

Electrophysiological Correlates of Lucid Dreaming: Sensor and Source Level Signatures

Çağatay Demirel, Kristoffer Appel, Daniel Erlacher, Axel Steiger, Britta U. Westner, Marcel Zeising, Zsófia Zavecz, Jarrod Gott, Martin Dresler, Sidarta Ribeiro, Cecilia Raffaelli, Xinlin Wang, Stephen LaBerge, Katharina Lüth, Nico Adelhöfer, Sérgio Mota‐Rolim, Christian Fischer
article en
7 citations

Abstract

Lucid dreaming (LD) is a state of conscious awareness of the ongoing oneiric state, predominantly linked to REM sleep. Progress in understanding its neurobiological basis has been hindered by small sample sizes, diverse EEG setups, and artifacts like saccadic eye movements. To address these challenges in characterizing the electrophysiological correlates of LD, we introduced an adaptive multistage preprocessing pipeline, applied to human data (male and female) pooled across laboratories, allowing us to explore sensor- and source-level markers of LD. We observed that, while sensor-level differences between LD and nonlucid REM sleep were minimal, mixed-frequency analysis revealed broad low alpha to gamma power reductions during LD compared with wakefulness. Source-level analyses showed significant beta power (12-30 Hz) reductions in right central and parietal areas, including the temporoparietal junction, during LD. Moreover, functional connectivity in the alpha band (8-12 Hz) increased during LD compared with nonlucid REM sleep. During initial LD eye signaling compared with the baseline, source-level gamma1 power (30-36 Hz) increased in right temporo-occipital regions, including the right precuneus. Finally, functional connectivity analysis revealed increased interhemispheric and inter-regional gamma1 connectivity during LD, reflecting widespread network engagement. These results suggest that distinct source-level power and connectivity patterns characterize the dynamic neural processes underlying LD, including shifts in network communication and regional activation that may underlie the specific changes in perception, memory processing, self-awareness, and cognitive control. Taken together, these findings illuminate the electrophysiological correlates of LD, laying the groundwork for decoding the mechanisms of this intriguing state of consciousness.

Journal of NeuroscienceVol. 45(20)
University of Bern (CH), Radboud University Nijmegen (NL), Osnabrück University (DE), University of Cambridge (GB), Radboud University Medical Center (NL), Universidade Federal do Rio Grande do Norte (BR), Dream Laboratory (United Kingdom) (GB), Max Planck Institute of Psychiatry (DE), Fundação Oswaldo Cruz (BR), University of Bologna (IT), Stanford University (US)
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Openalex Percentile: Top 2%
Sleep and Wakefulness Research
10.02
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