A NWB-based dataset and processing pipeline of human single-neuron activity during a declarative memory task

被引：10

作者：

Chandravadia, N. ^{[1
]}

Liang, D. ^{[2
]}

Schjetnan, A. G. P. ^{[3
]}

Carlson, A. ^{[1
]}

Faraut, M. ^{[1
]}

Chung, J. M. ^{[4
]}

Reed, C. M. ^{[4
]}

Dichter, B. ^{[5
,6
]}

Maoz, U. ^{[2
,7
]}

Kalia, S. K. ^{[3
,8
]}

Valiante, T. A. ^{[3
,8
]}

Mamelak, A. N. ^{[1
]}

Rutishauser, U. ^{[1
,4
,7
,9
,10
]}

机构：

[1] Cedars Sinai Med Ctr, Dept Neurosurg, Los Angeles, CA 90048 USA

[2] Chapman Univ, Schmid Coll Sci & Technol, Crean Coll Hlth & Behav Sci, Inst Interdisciplinary Brain & Behav Sci, Orange, CA USA

[3] Toronto Western Hosp, Krembil Brain Inst, Toronto, ON, Canada

[4] Cedars Sinai Med Ctr, Dept Neurol, Los Angeles, CA 90048 USA

[5] Lawrence Berkeley Natl Lab, Biol Syst & Engn Div, Berkeley, CA USA

[6] Stanford Univ, Dept Neurosurg, Stanford, CA 94305 USA

[7] CALTECH, Div Biol & Biol Engn, Pasadena, CA 91125 USA

[8] Univ Toronto, Div Neurosurg, Dept Surg, Toronto, ON, Canada

[9] CALTECH, Computat & Neural Syst Program, Pasadena, CA 91125 USA

[10] Cedars Sinai Med Ctr, Dept Biomed Sci, Ctr Neural Sci & Med, Los Angeles, CA 90048 USA

来源：

SCIENTIFIC DATA | 2020年 / 7卷 / 01期

基金：

美国国家科学基金会;

关键词：

HUMAN HIPPOCAMPUS; RECOGNITION; RECORDINGS; AMYGDALA; FORMAT;

D O I：

10.1038/s41597-020-0415-9

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：12

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