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Michele Bellesi

6 papers in the library · 32 citations · publishing 2023-2026

Papers

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.

The semantics of dreams

bioRxiv (Cold Spring Harbor Laboratory) May 21, 2025 Valentina Elce, Giorgia Bontempi, Serena Scarpelli et al. 1 citation preprint

Dreams are shaped by both stable individual traits and major external events. A large adult cohort provided dream and wakefulness reports alongside demographic, psychometric, cognitive, and sleep measures. Natural language processing revealed semantic features that distinguish dream from wakefulness reports, with this distinction significantly modulated by individual-specific factors. Longitudinal and cross-sample analyses showed that the COVID-19 pandemic left lasting traces on dream content. The findings highlight a dynamic interplay between personal characteristics and external events in shaping dream experiences, offering insights into the cognitive and emotional architecture of dreaming.

Individual traits and experiences predict the content of dreams

Communications Psychology April 28, 2026 Valentina Elce, Giorgia Bontempi, Serena Scarpelli et al.

Dreams are universal yet highly personal. By analyzing 3,366 reports of dreams and waking experiences from 207 adults collected between 2020 and 2024, along with demographic, cognitive, psychometric, and sleep measures, researchers found that dreams differ from waking thoughts: they are less self-referential and thought-centered, and more perceptual, dominated by visuo-spatial details, multiple characters, and bizarre events. Stable traits like attitude toward dreaming, mind-wandering propensity, and subjective sleep quality selectively influenced dream content. During the first 2020 COVID-19 lockdown, dreams from an independent dataset of 80 participants showed increased references to limitations and heightened emotional intensity, which gradually normalized over subsequent years. Stable individual traits and incidental experiences jointly shape dream semantics.

The individual determinants of morning dream recall.

Communications Psychology February 18, 2025 Valentina Elce, Damiana Bergamo, Giorgia Bontempi et al.

Dream recall varies widely between people and across nights. In 217 healthy adults aged 18 to 70, attitude toward dreaming, tendency to mind-wander, and sleep patterns were associated with whether a person reported a dream upon waking. The likelihood of recalling dream content was predicted by age and vulnerability to interference. Night-to-night changes in sleep patterns and seasonal fluctuations also influenced dream recall. These findings help explain why some people remember dreams more often than others and why recall varies within the same person.

The individual determinants of morning dream recall

Valentina Elce, Damiana Bergamo, Giorgia Bontempi et al. preprint

Dream recall varies greatly between people and across nights. In a study of 204 healthy adults aged 18 to 70, attitude toward dreaming, tendency to mind-wander, and sleep patterns were associated with how likely someone was to report a dream upon waking. The probability of recalling specific dream content was predicted by age and vulnerability to interference. Dream recall also fluctuated with nightly changes in sleep patterns and showed seasonal variation. These findings help explain why dream recall differs both between individuals and within the same person over time.