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Çağatay Demirel

7 papers in the library · 75 citations · publishing 2021-2026

Papers

Virtual reality training of lucid dreaming.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences February 1, 2021 Jarrod Gott, Leonore Bovy, Emma Peters et al. 33 citations

Lucid dreaming—being aware that one is dreaming while still asleep—is rare but can be trained by regularly questioning whether current experience is real or a dream. Virtual reality (VR) scenarios containing dream-like elements enhanced this training. Over four weeks, volunteers who received VR-assisted lucid dreaming training showed significantly greater increases in lucid dreaming than those who received no training. Eye-signal-verified lucid dreams during polysomnography supported these behavioral results. Potential mechanisms include synthetic dream-like experiences, incorporation of VR content into dream imagery as memory cues, and dissociative effects of VR that may amplify lucid dreaming training during wakefulness.

DREAM: A Dream EEG and Mentation database

May 16, 2023 William Wong, Kátia C. Andrade, Thomas Andrillon et al. 21 citations preprint

A new open-access database, DREAM, combines sleep magneto/electroencephalography (M/EEG) recordings with standardized dream reports to enable large-scale neurocognitive research on dreaming. The initial release includes 20 datasets from 561 participants and 2649 awakenings, each with at least 20 seconds of high-frequency M/EEG data and a classification of the subject's experience. Analyses demonstrate that features extracted from EEG can predict whether a person reports having had a conscious experience during both REM and NREM sleep. The database aims to overcome the limitations of small sample sizes and methodological variability in dream research, allowing new questions to be addressed at a scale unattainable by individual labs.

A dream EEG and mentation database.

Nature communications August 13, 2025 William Wong, Rubén Herzog, Kátia Cristine Andrade et al. 10 citations

A new open database, the DREAM database, combines standardized sleep magneto/electroencephalography (M/EEG) recordings with dream reports from 505 participants across 20 datasets, totaling 2,643 awakenings. Each awakening includes at least 20 seconds of high-resolution sleep EEG (≥100 Hz, ≥2 electrodes) and a classification of the sleeper's reported experience. Analyses showed that reports of conscious experiences during sleep can be predicted from objective EEG features in both REM and NREM sleep. The database aims to overcome limitations of small sample sizes and methodological variability in dream research, enabling larger-scale investigations of the neurocognitive basis of dreaming.

Electrophysiological Correlates of Lucid Dreaming: Sensor and Source Level Signatures.

The Journal of neuroscience : the official journal of the Society for Neuroscience May 14, 2025 Çağatay Demirel, Jarrod Gott, Kristoffer Appel et al. 8 citations

Lucid dreaming, where a person becomes aware they are dreaming, is linked to REM sleep. To overcome previous research limitations, a new preprocessing pipeline was applied to pooled EEG data from multiple labs. Sensor-level differences between lucid and nonlucid REM sleep were minimal, but source-level analysis revealed reduced beta power (12-30 Hz) in right central and parietal areas, including the temporoparietal junction, during lucid dreaming. Alpha-band (8-12 Hz) connectivity increased compared to nonlucid REM sleep. During eye signaling of lucidity, gamma1 power (30-36 Hz) increased in right temporo-occipital regions, including the precuneus, and interhemispheric gamma1 connectivity rose. These patterns suggest shifts in network communication underlying changes in perception, self-awareness, and cognitive control.

Electrophysiological correlates of lucid dreaming: sensor and source level signatures

bioRxiv Preprint Server April 9, 2024 Çağatay Demirel, Jarrod Gott, Kristoffer Appel et al. 2 citations preprint

Lucid 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.

Inducing unusual bodily sensations and out-of-body experiences across the wake-sleep cycle: a high-density EEG and neurophenomenology study

PsyArXiv April 13, 2025 Teresa Campillo-Ferrer, Antonella Iadarola, Ramona Cordani et al. 1 citation preprint

During the transition from wakefulness to sleep, unusual bodily sensations and out-of-body experiences can be induced. A high-density EEG and neurophenomenology approach reveals specific brain activity patterns associated with these phenomena, suggesting that the brain's altered state during sleep onset may facilitate such experiences.

Facilitating unusual bodily experiences and out-of-body experiences across wakefulness and sleep: A high-density EEG and neurophenomenology study

Consciousness and Cognition February 11, 2026 Teresa Campillo-Ferrer, Antonella Iadarola, Ramona Cordani et al.

Unusual bodily experiences (UBEs)—illusory perceptions such as floating, body distortions, or out-of-body sensations—can occur during meditation and sleep. In a controlled sleep laboratory, 20 of 35 healthy participants reported 36 UBEs, primarily during meditation (wakefulness) but also during arousals, REM sleep, and non-REM sleep. Electroencephalography (EEG) analyses revealed that UBEs emerge during intermediate states of consciousness that combine features of wakefulness and sleep. Specifically, UBEs were associated with EEG reactivation: increased high-frequency activity (beta and gamma) and decreased low-frequency activity (delta and theta), especially around temporal regions. These findings offer new insights into the neural correlates of self-consciousness and body perception across sleep and wakefulness.