A dream EEG and mentation database

Area of Science:

• Neuroscience
• Cognitive Science
• Sleep Research

Background:

• Magneto/electroencephalography (M/EEG) studies are crucial for understanding consciousness during sleep.
• Current dream research faces limitations due to small sample sizes and methodological variability, hindering result integration.

Purpose of the Study:

• To introduce the DREAM database, a standardized collection of human sleep M/EEG and dream report data.
• To overcome limitations in dream research by providing a large-scale, integrated data resource.

Main Methods:

• The initial release of the DREAM database includes 20 datasets, 505 participants, and 2643 awakenings.
• Each data point comprises sleep M/EEG recordings and standardized dream report classifications.
• Standardized M/EEG data includes ≥20s duration, ≥100Hz sampling rate, and ≥2 electrodes.

Main Results:

• Objective features from EEG recordings can predict conscious experiences reported during sleep.
• This prediction is possible in both Rapid Eye Movement (REM) and non-REM (NREM) sleep stages.
• The database facilitates analyses at a scale previously unachievable by single research groups.

Conclusions:

• The DREAM database offers a powerful resource for advancing the study of consciousness during sleep.
• Standardized data and large sample sizes enable robust investigation into the neurocognitive underpinnings of dreaming.
• Future research can leverage this database to explore novel questions in sleep and consciousness research.