A NWB-based dataset and processing pipeline of human single-neuron activity during a declarative memory task
A NWB-based dataset and processing pipeline of human single-neuron activity during a declarative memory task
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DOI：
10.1038/s41597-020-0415-9
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发表时间：
2020-03-04
期刊：
影响因子：
9.8
通讯作者：
Rutishauser, U.
中科院分区：
文献类型：
--
作者：
Chandravadia, N.;Liang, D.;Rutishauser, U.
系统神经科学中数据共享的一个挑战是使用多种不同的数据格式。神经数据无国界：神经生理学2.0（NWB：N）已经成为一种标准化的数据格式，用于存储细胞级数据以及元数据，刺激信息和行为。促进NWB：N采用的关键下一步是提供易于使用的处理管道，以从/向NWB：N导入/导出数据。在这里，我们提出了一个NWB格式的数据集的1863个单神经元记录从内侧颞叶的59名人类受试者进行颅内监测，而他们进行了识别记忆任务。我们提供代码来分析和导出/导入刺激，行为和电生理记录到/从MATLAB和Python的NWB。数据文件是NWB：N兼容的，这提供了编程语言和操作系统之间的互操作性。这种数据和代码的结合是如何利用NWB：N进行人类单神经元记录的案例研究，并使这种难以获得的数据能够轻松地重新用于人类记忆机制的教学和研究。
A challenge for data sharing in systems neuroscience is the multitude of different data formats used. Neurodata Without Borders: Neurophysiology 2.0 (NWB:N) has emerged as a standardized data format for the storage of cellular-level data together with meta-data, stimulus information, and behavior. A key next step to facilitate NWB:N adoption is to provide easy to use processing pipelines to import/export data from/to NWB:N. Here, we present a NWB-formatted dataset of 1863 single neurons recorded from the medial temporal lobes of 59 human subjects undergoing intracranial monitoring while they performed a recognition memory task. We provide code to analyze and export/import stimuli, behavior, and electrophysiological recordings to/from NWB in both MATLAB and Python. The data files are NWB:N compliant, which affords interoperability between programming languages and operating systems. This combined data and code release is a case study for how to utilize NWB:N for human single-neuron recordings and enables easy re-use of this hard-to-obtain data for both teaching and research on the mechanisms of human memory.