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

A comparison of neuroelectrophysiology databases

Sci Data. 2023 Oct 19;10(1):719. doi: 10.1038/s41597-023-02614-0.

Authors

Priyanka Subash¹, Alex Gray¹, Misque Boswell¹, Samantha L Cohen¹, Rachael Garner¹, Sana Salehi¹, Calvary Fisher¹, Samuel Hobel¹, Satrajit Ghosh², Yaroslav Halchenko³, Benjamin Dichter⁴, Russell A Poldrack⁵, Chris Markiewicz⁵, Dora Hermes⁶, Arnaud Delorme⁷, Scott Makeig⁷, Brendan Behan⁸, Alana Sparks⁹, Stephen R Arnott¹⁰, Zhengjia Wang¹¹, John Magnotti¹¹, Michael S Beauchamp¹¹, Nader Pouratian¹², Arthur W Toga¹, Dominique Duncan¹³

Affiliations

¹ Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA.
² McGovern Institute for Brain Research, MIT Brain and Cognitive Sciences, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
³ Department of Psychological & Brain Sciences, Center for Cognitive Neuroscience, Dartmouth Brain Imaging Center, Dartmouth College, 6207 Moore Hall, Hanover, NH, 03755, USA.
⁴ CatalystNeuro, Benicia, CA, 94510, USA.
⁵ Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA.
⁶ Mayo Clinic, Department of Physiology & Biomedical Engineering, 200 1st Street SW, Rochester, MN, 55905, USA.
⁷ Swartz Center of Computational Neuroscience, INC, University of California San Diego, La Jolla, CA, 92093, USA.
⁸ Ontario Brain Institute, 1 Richmond Street West, Toronto, ON, M5H 3W4, Canada.
⁹ Indoc Research, Toronto, ON, Canada.
¹⁰ Rotman Research Institute, Toronto, ON, Canada.
¹¹ Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
¹² Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5303 Harry Hines Blvd, Dallas, TX, 75390, USA.
¹³ Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA. duncand@usc.edu.

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.

A comparison of neuroelectrophysiology databases

Authors

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Abstract

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Grants and funding