Wide-field calcium imaging sleep state database

A collection of wide-field calcium imaging (WFCI) sleep and wake recordings collected from twelve transgenic mice expressing GCaMP6f in excitatory neurons. Each mouse underwent a three-hour undisturbed WFCI recording session where wake, REM (rapid eye movement) sleep and NREM (non-REM) sleep was recorded. Each WFCI recording is manually scored by sleep scoring experts in 10-second epochs as wake, NREM or REM by use of adjunct EEG/EMG. The dataset contains annotated WFCI recordings, brain mask and the Paxinos atlas used for defining the brain regions. The dataset was collected as part of a study evaluating a deep learning-based automated sleep state classification method.

本数据集收录了12只在兴奋性神经元中表达GCaMP6f的转基因小鼠的宽场钙成像（wide-field calcium imaging, WFCI）睡眠与觉醒记录。每只小鼠均接受了3小时无干扰的WFCI记录时段，期间同步记录了觉醒、快速眼动（rapid eye movement, REM）睡眠与非快速眼动（non-REM, NREM）睡眠三种状态。所有WFCI记录均由睡眠评分专家借助配套脑电图（electroencephalogram, EEG）与肌电图（electromyogram, EMG），以10秒为一个评分时段（epoch）手动标注为觉醒、NREM睡眠或REM睡眠。本数据集包含带标注的宽场钙成像记录、脑掩膜（brain mask）以及用于划定脑区的帕西诺脑图谱（Paxinos atlas）。本数据集是一项评估基于深度学习的自动化睡眠状态分类方法的研究的采集内容之一。