University of Washington, Department of Biology, Seattle, 98195, USA.
University of Washington, eScience Institute, Seattle, USA.
Sci Data. 2022 Apr 21;9(1):184. doi: 10.1038/s41597-022-01280-y.
Understanding the neural basis of human movement in naturalistic scenarios is critical for expanding neuroscience research beyond constrained laboratory paradigms. Here, we describe our Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) dataset, the largest human neurobehavioral dataset that is publicly available; the dataset was recorded opportunistically during passive clinical epilepsy monitoring. AJILE12 includes synchronized intracranial neural recordings and upper body pose trajectories across 55 semi-continuous days of naturalistic movements, along with relevant metadata, including thousands of wrist movement events and annotated behavioral states. Neural recordings are available at 500 Hz from at least 64 electrodes per participant, for a total of 1280 hours. Pose trajectories at 9 upper-body keypoints were estimated from 118 million video frames. To facilitate data exploration and reuse, we have shared AJILE12 on The DANDI Archive in the Neurodata Without Borders (NWB) data standard and developed a browser-based dashboard.
理解人类在自然场景下运动的神经基础对于将神经科学研究从受限制的实验室范式扩展至关重要。在这里，我们描述了我们的 Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) 数据集，这是最大的公开可用的人类神经行为数据集；该数据集是在被动临床癫痫监测期间偶然记录的。AJILE12 包括同步的颅内神经记录和 55 天半连续的自然运动中的上半身姿势轨迹，以及相关的元数据，包括数千个手腕运动事件和注释的行为状态。神经记录可从每个参与者至少 64 个电极以 500 Hz 的频率获取，总共有 1280 小时。来自 1180 万帧视频的 9 个上半身关键点的姿势轨迹被估计。为了促进数据探索和再利用，我们已按照 Neurodata Without Borders (NWB) 数据标准将 AJILE12 共享在 The DANDI Archive 上，并开发了一个基于浏览器的仪表板。
