4.7 Article Data Paper

Nine-day continuous recording of EEG and 2-hour of high-density EEG under chronic sleep restriction in mice

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SCIENTIFIC DATA
卷 9, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01354-x

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资金

  1. National Research Foundation of Korea [NRF-2022R1A2C3003901]
  2. KIST Intramural grant [2E31511]

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This work presents an EEG dataset collected from nine mice during sleep deprivation, including continuous recordings of frontal and parietal EEG data and accelerometer data. The dataset can be used to compare mouse and human HD-EEG, track oscillatory activities of sleep EEG under different conditions, and investigate cortical traveling waves in the mouse brain. Additionally, Python code for basic analyses is provided.
This work provides an EEG dataset collected from nine mice during the sleep deprivation (SD) paradigm for the sleep science community. It includes 9-day of continuous recording of the frontal and parietal EEG, accelerometer, and 2-hour of high-density EEG (HD-EEG) under SD and SD-free conditions. Eighteen hours of SD were conducted on 5 consecutive days. The HD-EEG data were saved in the EEGLAB format and stored as the brain imaging data structure (BIDS). These datasets can be used to (i) compare mouse HD-EEG to human HD-EEG, (ii) track oscillatory activities of the sleep EEG (e.g., slow waves, spindles) across the cortical regions under different conditions of sleep pressure, and (iii) investigate the cortical traveling waves in the mouse brain. We also provided Python code for basic analyses of this dataset, including the detection of slow waves and sleep spindles. We hope that our dataset will reveal hidden activities during sleep and lead to a better understanding of the functions and mechanisms of sleep.

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