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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

Journal of Neuroscience May 14, 2025 DOI: 10.1523/jneurosci.2237-24.2025 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study with pooled EEG data across laboratories Peer reviewed
Sample size 44
Population Human participants (male and female)
Topics Lucid dreaming Dreaming
Keywords Metacognition Self-awareness Lucid-dreaming lucid dreams Consciousness awareness Sleep-science rem sleep Neuroscience brain activity Neural patterns Brain imaging
Citations 8
Key findings Lucid dreaming is characterized by reduced beta power in right central and parietal regions, increased alpha-band connectivity, and increased gamma1 power and connectivity during eye signaling, indicating distinct neural dynamics.

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.

Comparable studies

Other observational and cohort studies on lucid dreaming, most cited first.

Study Year Design Participants
Lucid Dreaming: a State of Consciousness with Features of Both Waking and Non-Lucid Dreaming Student volunteers trained to become lucid and signal lucidity with horizontal eye... 2009 Observational study n = 6
Neural Correlates of Dream Lucidity Obtained from Contrasting Lucid versus Non-Lucid REM Sleep: A Combined EEG/fMRI Case Study Experienced lucid dreamers 2012 Observational cohort n = 4
Real-time dialogue between experimenters and dreamers during REM sleep. Individuals during REM sleep, including frequent lucid dreamers, a novice, and a... 2021 Observational study n = 36
Lucid Dreaming in Narcolepsy Consecutive patients with narcolepsy and healthy controls 2015 Case-control study n = 106
Metacognitive Mechanisms Underlying Lucid Dreaming Human participants split into high- and low-lucidity groups based on reported dream... 2015 Observational cohort

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