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A dream EEG and mentation database

Author

Listed:
  • William Wong

    (Monash University)

  • Rubén Herzog

    (Sorbonne Université)

  • Kátia Cristine Andrade

    (Federal University of Rio Grande do Norte)

  • Thomas Andrillon

    (Sorbonne Université
    Monash University)

  • Draulio Barros Araujo

    (Federal University of Rio Grande do Norte)

  • Isabelle Arnulf

    (Sorbonne Université)

  • Somayeh Ataei

    (Ruhr University Bochum
    Cognition and Behaviour
    Cognition and Behavior)

  • Giulia Avvenuti

    (IMT School for Advanced Studies Lucca)

  • Benjamin Baird

    (Department of Psychology, The University of Texas at Austin)

  • Michele Bellesi

    (University of Bristol
    University of Camerino)

  • Damiana Bergamo

    (IMT School for Advanced Studies Lucca
    University of Padova)

  • Giulio Bernardi

    (IMT School for Advanced Studies Lucca)

  • Mark Blagrove

    (Swansea University)

  • Nicolas Decat

    (Sorbonne Université)

  • Çağatay Demirel

    (Cognition and Behaviour)

  • Martin Dresler

    (Cognition and Behavior)

  • Jean-Baptiste Eichenlaub

    (France; Institut Universitaire de France (IUF))

  • Valentina Elce

    (IMT School for Advanced Studies Lucca)

  • Steffen Gais

    (University of Tübingen)

  • Luigi De Gennaro

    (University of Rome Sapienza)

  • Jarrod Gott

    (Cognition and Behavior)

  • Chihiro Hiramatsu

    (Kyushu University)

  • Bjørn Erik Juel

    (University of Oslo
    University of Wisconsin–)

  • Karen R. Konkoly

    (Northwestern University)

  • Deniz Kumral

    (University of Freiburg)

  • Célia Lacaux

    (Sorbonne Université)

  • Joshua J. LaRocque

    (Medical College of Wisconsin)

  • Bigna Lenggenhager

    (Association for independent research)

  • Remington Mallett

    (Northwestern University)

  • Sérgio Arthuro Mota-Rolim

    (Federal University of Rio Grande do Norte)

  • Yuki Motomura

    (Kyushu University)

  • Andre Sevenius Nilsen

    (University of Oslo)

  • Valdas Noreika

    (Queen Mary University of London)

  • Delphine Oudiette

    (Sorbonne Université)

  • Fernanda Palhano-Fontes

    (Federal University of Rio Grande do Norte)

  • Jessica Palmieri

    (University of Freiburg)

  • Ken A. Paller

    (Northwestern University)

  • Lampros Perogamvros

    (University of Geneva)

  • Antti Revonsuo

    (University of Turku
    University of Skövde)

  • Elaine Rijn

    (Swansea University)

  • Serena Scarpelli

    (Cognition and Behaviour)

  • Monika Schönauer

    (University of Freiburg)

  • Sarah F. Schoch

    (Cognition and Behaviour
    Cognition and Behavior
    University of Zurich)

  • Francesca Siclari

    (Netherlands Institute for Neuroscience
    University of Lausanne)

  • Pilleriin Sikka

    (University of Turku
    University of Skövde
    Stanford University
    Stanford University)

  • Johan Frederik Storm

    (University of Oslo)

  • Hiroshige Takeichi

    (Open Systems Information Science Team, Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters (R-IH), RIKEN)

  • Katja Valli

    (University of Turku
    University of Skövde)

  • Erin J. Wamsley

    (Furman University)

  • Jennifer M. Windt

    (Monash University
    Monash University)

  • Jing Zhang

    (University of California)

  • Jialin Zhao

    (Cognition and Behaviour)

  • Naotsugu Tsuchiya

    (Monash University
    ATR Computational Neuroscience Laboratories)

Abstract

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 address these issues, here we present the DREAM database—an expanding collection of standardized datasets on human sleep M/EEG combined with dream report data—with an initial release comprising 20 datasets, 505 participants, and 2643 awakenings. Each awakening consists, at minimum, of sleep M/EEG ( ≥ 20 s, ≥100 Hz, ≥2 electrodes) up to the time of waking and a standardized dream report classification of the subject’s experience during sleep. We observed that reports of conscious experiences can be predicted with objective features extracted from EEG recordings in both Rapid Eye Movement (REM) and non-REM (NREM) sleep. We also provide several examples of analyses, showcasing the database’s high potential in paving the way for new research questions at a scale beyond the capacity of any single research group.

Suggested Citation

  • William Wong & Rubén Herzog & Kátia Cristine Andrade & Thomas Andrillon & Draulio Barros Araujo & Isabelle Arnulf & Somayeh Ataei & Giulia Avvenuti & Benjamin Baird & Michele Bellesi & Damiana Bergamo, 2025. "A dream EEG and mentation database," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61945-1
    DOI: 10.1038/s41467-025-61945-1
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    References listed on IDEAS

    as
    1. Jens B. Stephansen & Alexander N. Olesen & Mads Olsen & Aditya Ambati & Eileen B. Leary & Hyatt E. Moore & Oscar Carrillo & Ling Lin & Fang Han & Han Yan & Yun L. Sun & Yves Dauvilliers & Sabine Schol, 2018. "Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy," Nature Communications, Nature, vol. 9(1), pages 1-15, December.
    2. Daniele Fanelli, 2009. "How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-11, May.
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