A comparison of neuroelectrophysiology databases

Priyanka Subash; Alex Gray; Misque Boswell; Samantha L. Cohen; Rachael Garner; Sana Salehi; Calvary Fisher; Samuel Hobel; Satrajit Ghosh; Yaroslav Halchenko; Benjamin Dichter; Russell A. Poldrack; Chris Markiewicz; Dora Hermes; Arnaud Delorme; Scott Makeig; Brendan Behan; Alana Sparks; Stephen R Arnott; Zhengjia Wang; John Magnotti; Michael S. Beauchamp; Nader Pouratian; Arthur W. Toga; Dominique Duncan

doi:10.1038/s41597-023-02614-0

Scientific Data (Oct 2023)

A comparison of neuroelectrophysiology databases

Priyanka Subash,
Alex Gray,
Misque Boswell,
Samantha L. Cohen,
Rachael Garner,
Sana Salehi,
Calvary Fisher,
Samuel Hobel,
Satrajit Ghosh,
Yaroslav Halchenko,
Benjamin Dichter,
Russell A. Poldrack,
Chris Markiewicz,
Dora Hermes,
Arnaud Delorme,
Scott Makeig,
Brendan Behan,
Alana Sparks,
Stephen R Arnott,
Zhengjia Wang,
John Magnotti,
Michael S. Beauchamp,
Nader Pouratian,
Arthur W. Toga,
Dominique Duncan

Affiliations

Priyanka Subash: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Alex Gray: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Misque Boswell: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Samantha L. Cohen: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Rachael Garner: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Sana Salehi: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Calvary Fisher: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Samuel Hobel: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Satrajit Ghosh: McGovern Institute for Brain Research, MIT Brain and Cognitive Sciences
Yaroslav Halchenko: Department of Psychological & Brain Sciences, Center for Cognitive Neuroscience, Dartmouth Brain Imaging Center, Dartmouth College
Benjamin Dichter: CatalystNeuro
Russell A. Poldrack: Department of Psychology, Stanford University
Chris Markiewicz: Department of Psychology, Stanford University
Dora Hermes: Mayo Clinic, Department of Physiology & Biomedical Engineering
Arnaud Delorme: Swartz Center of Computational Neuroscience, INC, University of California San Diego
Scott Makeig: Swartz Center of Computational Neuroscience, INC, University of California San Diego
Brendan Behan: Ontario Brain Institute
Alana Sparks: Indoc Research
Stephen R Arnott: Rotman Research Institute
Zhengjia Wang: Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania
John Magnotti: Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania
Michael S. Beauchamp: Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania
Nader Pouratian: Department of Neurological Surgery, University of Texas Southwestern Medical Center
Arthur W. Toga: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Dominique Duncan: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California

DOI: https://doi.org/10.1038/s41597-023-02614-0
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 18

Abstract

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Abstract As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and collaboration. This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed Archives for Neurophysiology Data Integration (DANDI), OpenNeuro, and Brain-CODE. The aim of this review is to describe archives that provide researchers with tools to store, share, and reanalyze both human and non-human neurophysiology data based on criteria that are of interest to the neuroscientific community. The Brain Imaging Data Structure (BIDS) and Neurodata Without Borders (NWB) are utilized by these archives to make data more accessible to researchers by implementing a common standard. As the necessity for integrating large-scale analysis into data repository platforms continues to grow within the neuroscientific community, this article will highlight the various analytical and customizable tools developed within the chosen archives that may advance the field of neuroinformatics.

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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