Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Sci Data. 2018 Feb 13;5:180010. doi: 10.1038/sdata.2018.10.
We present a dataset of 1,576 single neurons recorded from the human amygdala and hippocampus in 65 sessions from 42 patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects performed a recognition memory task with pictures as stimuli. Subjects were asked to identify whether they had seen a particular image the first time ('new') or second time ('old') on a 1-6 confidence scale. This comprehensive dataset includes the spike times of all neurons and their extracellular waveforms, behavior, electrode locations determined from post-operative MRI scans, demographics, and the stimuli shown. As technical validation, we provide spike sorting quality metrics and assessment of tuning of cells to verify the presence of visually-and memory selective cells. We also provide analysis code that reproduces key scientific findings published previously on a smaller version of this dataset. Together, this large dataset will facilitate the investigation of the neural mechanism of declarative memory by providing a substantial number of hard to obtain human single-neuron recordings during a well characterized behavioral task.
我们提供了一个数据集，其中包含了 1576 个从 42 名接受颅内监测以定位癫痫发作的患者的杏仁核和海马体中记录的单个神经元。受试者通过图片作为刺激物进行识别记忆任务。受试者被要求在 1-6 的置信度范围内，根据他们第一次看到特定图像的情况来识别（“新”）或第二次看到特定图像的情况（“旧”）。这个综合数据集包括所有神经元的尖峰时间及其细胞外波形、行为、术后 MRI 扫描确定的电极位置、人口统计学数据和显示的刺激物。作为技术验证，我们提供了尖峰排序质量指标和细胞调谐的评估，以验证是否存在视觉和记忆选择性细胞。我们还提供了可重现先前在该数据集较小版本上发表的关键科学发现的分析代码。总的来说，这个大型数据集将通过在一个特征良好的行为任务期间提供大量难以获得的人类单个神经元记录，促进对陈述性记忆的神经机制的研究。
