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Giulio Bernardi

16 papers in the library · 242 citations · publishing 2018-2026

Papers

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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 idiosyncratic experiences. While memories and personal concerns are known to influence dream content, how such influences evolve over time and how stable individual traits shape dreaming remain unclear. Here, we systematically quantified the semantic structure of dreams in a large, multimodal dataset comprising 3366 reports of dreams and waking experiences...

Immersive NREM2 dreaming preserves subjective sleep depth against declining sleep pressure.

PLoS Biology March 1, 2026 Adriana Michalak, Davide Marzoli, Francesco Pietrogiacomi et al.

Perceived sleep depth is a key determinant of subjective sleep quality, traditionally thought to reflect unconsciousness and reduced cortical activation. Here, we combined high-density EEG with a serial awakening paradigm during NREM2 (N2) sleep in healthy human participants to examine its neural and experiential correlates. As expected, deeper sleep was associated with reduced cortical...

Immersive NREM dreaming preserves subjective sleep depth against declining sleep pressure

bioRxiv (Cold Spring Harbor Laboratory) September 8, 2025 Adriana Michalak, Davide Marzoli, Francesco Pietrogiacomi et al. preprint

Perceived sleep depth is a key determinant of subjective sleep quality, traditionally thought to reflect unconsciousness and reduced cortical activation. Here, we combined high-density EEG with a serial awakening paradigm during NREM sleep to examine its neural and experiential correlates. As expected, deeper sleep was associated with reduced cortical activation, reflected in a lower...

A dream EEG and mentation database.

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

Magneto/electroencephalography (M/EEG) studies of dreaming are an essential paradigm in the investigation of neurocognitive processes of human consciousness during sleep, but they are limited by the number of observations that can be collected per study. Dream research also involves substantial methodological and conceptual variability, which poses problems for the integration of results. To...

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 universal yet deeply personal experiences. While memory and personal concerns influence dream content, the impact of other individual, generalizable traits remains poorly understood. To address this gap, we built a multimodal dataset including dream and wakefulness reports, alongside demographic, psychometric, cognitive, and sleep-related measures in a large adult cohort. Natural...

The individual determinants of morning dream recall.

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

Evidence suggests that (almost) everyone dreams during their sleep and may actually do so for a large part of the night. Yet, dream recall shows large interindividual variability. Understanding the factors that influence dream recall is crucial for advancing our knowledge regarding dreams' origin, significance, and functions. Here, we tackled this issue by prospectively collecting dream reports...

Automatic Annotation of Dream Report’s Emotional Content with Large Language Models

Workshop on Computational Linguistics and Clinical Psychology 2024 Lorenzo Bertolini, Valentina Elce, Adriana Michalak et al.

In the field of dream research, the study of dream content typically relies on the analysis of verbal reports provided by dreamers upon awakening from their sleep. This task is classically performed through manual scoring provided by trained annotators, at a great time expense. While a consistent body of work suggests that natural language processing (NLP) tools can support the automatic...

DREAM: A Dream EEG and Mentation database

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

Magneto/electroencephalography (M/EEG) studies of dreaming are an essential paradigm in the investigation of neurocognitive processes of human consciousness during sleep, but they are limited by the number of observations that can be collected per study. Dream research also involves substantial methodological and conceptual variability, which poses problems for the integration of results. To...

Memory reactivations during sleep: a neural basis of dream experiences?

March 6, 2023 Claudia Picard-Deland, Giulio Bernardi, Lisa Genzel et al. 2 citations preprint

Newly encoded memory traces are spontaneously reactivated during sleep. Since their discovery in the 1990s, these memory reactivations have been discussed as a potential neural basis for dream experiences. New results from animal and human research, as well as the rapidly growing field of sleep and dream engineering, provide essential insights into this question, revealing both strong parallels...

Automatic Scoring of Dream Reports' Emotional Content with Large Language Models

arXiv (Cornell University) February 28, 2023 Lorenzo Bertolini, Valentina Elce, Adriana Michalak et al. 1 citation

In the field of dream research, the study of dream content typically relies on the analysis of verbal reports provided by dreamers upon awakening from their sleep. This task is classically performed through manual scoring provided by trained annotators, at a great time expense. While a consistent body of work suggests that natural language processing (NLP) tools can support the automatic...

The Language of Dreams: Application of Linguistics-Based Approaches for the Automated Analysis of Dream Experiences

Clocks & Sleep September 19, 2021 Valentina Elce, Giacomo Handjaras, Giulio Bernardi 29 citations

The study of dreams represents a crucial intersection between philosophical, psychological, neuroscientific, and clinical interests. Importantly, one of the main sources of insight into dreaming activity are the (oral or written) reports provided by dreamers upon awakening from their sleep. Classically, two main types of information are commonly extracted from dream reports: structural and...

Cross-participant prediction of vigilance stages through the combined use of wPLI and wSMI EEG functional connectivity metrics.

Sleep May 14, 2021 Laura Sophie Imperatori, Jacinthe Cataldi, Monica Betta et al. 30 citations

Functional connectivity (FC) metrics describe brain inter-regional interactions and may complement information provided by common power-based analyses. Here, we investigated whether the FC-metrics weighted Phase Lag Index (wPLI) and weighted Symbolic Mutual Information (wSMI) may unveil functional differences across four stages of vigilance-wakefulness (W), NREM-N2, NREM-N3, and REM sleep-with...

Reductions in perceived stress following Transcendental Meditation practice are associated with increased brain regional connectivity at rest.

Brain and Cognition January 13, 2020 Giulia Avvenuti, Andrea Leo, Luca Cecchetti et al.

Transcendental Meditation (TM) is defined as a mental process of transcending using a silent mantra. Previous work showed that relatively brief period of TM practice leads to decreases in stress and anxiety. However, whether these changes are subserved by specific morpho-functional brain modifications (as observed in other meditation techniques) is still unclear. Using a longitudinal design, we...

EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions.

Scientific Reports June 20, 2019 Laura Sophie Imperatori, Monica Betta, Luca Cecchetti et al.

The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual Information (wSMI) represent two robust and widely used methods for MEG/EEG functional connectivity estimation. Interestingly, both methods have been shown to detect relative alterations of brain functional connectivity in conditions associated with changes in the level of consciousness, such as following severe brain injury...

Dreaming in NREM Sleep: A High-Density EEG Study of Slow Waves and Spindles

Journal of Neuroscience September 10, 2018 Francesca Siclari, Giulio Bernardi, Jacinthe Cataldi et al. 148 citations

Dreaming can occur in both rapid eye movement (REM) and non-REM (NREM) sleep. We recently showed that in both REM and NREM sleep, dreaming is associated with local decreases in slow wave activity (SWA) in posterior brain regions. To expand these findings, here we asked how specific features of slow waves and spindles, the hallmarks of NREM sleep, relate to dream experiences. Fourteen healthy...

The latent geometry of dream content

Daniele Gatti, Tomaso Vecchi, Pietro Pietrini et al. preprint

Dreams provide a potential unique window into human cognition, yet it remains unclear whether dream content reflects structured representational organization or largely idiosyncratic expression. Here, we analyze a large-scale dataset of dream narratives (21,607 reports) using a transformer language model to construct a high-dimensional representational space of dreams, in which each report is...