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A dream EEG and mentation database

Onderzoeksgroep Siclari
Publicatiejaar 2025
Gepubliceerd in Nature Communications
Auteur(s) William Wong, Rubén Herzog, Kátia Cristine Andrade, Thomas Andrillon, Draulio Barros de Araujo, Isabelle Arnulf, Somayeh Ataei, Giulia Avvenuti, Benjamin Baird, Michele Bellesi, Damiana Bergamo, Giulio Bernardi, Mark Blagrove, Nicolas Decat, Çağatay Demirel, Martin Dresler, Jean-Baptiste Eichenlaub, Valentina Elce, Steffen Gais, Luigi De Gennaro, Jarrod Gott, Chihiro Hiramatsu, Bjørn Erik Juel, Karen R Konkoly, Deniz Kumral, Célia Lacaux, Joshua J LaRocque, Bigna Lenggenhager, Remington Mallett, Sérgio Arthuro Mota-Rolim, Yuki Motomura, Andre Sevenius Nilsen, Valdas Noreika, Delphine Oudiette, Fernanda Palhano-Fontes, Jessica Palmieri, Ken A Paller, Lampros Perogamvros, Antti Revonsuo, Elaine van Rijn, Serena Scarpelli, Monika Schönauer, Sarah F Schoch, Francesca Siclari, Pilleriin Sikka, Johan Frederik Storm, Hiroshige Takeichi, Katja Valli, Erin J Wamsley, Jennifer M Windt, Jing Zhang, Jialin Zhao, Naotsugu Tsuchiya

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.

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