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

N Chandravadia1, D Liang2, A G P Schjetnan3

  • 1Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Scientific Data
|March 6, 2020
PubMed
Summary

This study introduces a standardized data format, Neurodata Without Borders: Neurophysiology 2.0 (NWB:N), for systems neuroscience. It provides accessible code and datasets for human single-neuron recordings to advance memory research.

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Area of Science:

  • Systems Neuroscience
  • Neurophysiology
  • Cognitive Neuroscience

Background:

  • Data sharing in systems neuroscience is hindered by diverse data formats.
  • Neurodata Without Borders: Neurophysiology 2.0 (NWB:N) offers a standardized solution for cellular data, metadata, and behavioral information.
  • Standardized formats are crucial for data interoperability and reuse.

Purpose of the Study:

  • To present an NWB:N-formatted dataset of human single-neuron recordings.
  • To provide analysis code for importing/exporting data to/from NWB:N.
  • To facilitate the adoption of NWB:N for human neurophysiology research.

Main Methods:

  • Recorded single neurons from the medial temporal lobes of 59 human subjects during a recognition memory task.
  • Formatted electrophysiological recordings, stimulus information, and behavioral data into the NWB:N standard.
  • Developed analysis pipelines for data import/export in MATLAB and Python.

Main Results:

  • A dataset of 1863 single neurons from human subjects is now available in NWB:N format.
  • Code for analyzing and interoperating NWB:N data (stimuli, behavior, electrophysiology) is provided for MATLAB and Python.
  • The NWB:N compliant data ensures cross-platform and cross-language compatibility.

Conclusions:

  • This release serves as a case study for utilizing NWB:N in human single-neuron recordings.
  • The provided data and code promote re-use for both educational and research purposes.
  • Facilitates research into the neural mechanisms of human memory through accessible, standardized data.