NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy

Functional near-infrared spectroscopy (fNIRS) is an increasingly popular neuroimaging technique that measures cortical hemodynamic activity in a non-invasive and portable fashion. Although the fNIRS community has been successful in disseminating open-source processing tools and a standard file format (SNIRF), reproducible research and sharing of fNIRS data amongst researchers has been hindered by a lack of standards and clarity over how study data should be organized and stored. This problem is not new in neuroimaging, and it became evident years ago with the proliferation of publicly available neuroimaging datasets. To solve this critical issue, the neuroimaging community created the Brain Imaging Data Structure (BIDS) that specifies standards for how datasets should be organized to facilitate sharing and reproducibility of science. Currently, BIDS supports dozens of neuroimaging modalities including MRI, EEG, MEG, PET, and many others. In this paper, we present the extension of BIDS for NIRS data alongside tools that may assist researchers in organizing existing and new data with the goal of promoting public disseminations of fNIRS datasets.

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Publication Details

Journal
Scientific Data
Published
2025-01-27
DOI
https://doi.org/10.1038/s41597-024-04136-9
Citations
10
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
13.60

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article

NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy

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10 citations
Scientific Data
Optical Imaging and Spectroscopy Techniques
13.60
article

NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy

Christopher J. Markiewicz, Rémi Gau, Stefan Appelhoff, Hamish Innes-Brown, David A. Boas, Robert Luke, Meryem A. Yücel, Felipe Orihuela‐Espina, David McAlpine, Robert Oostenveld, Stephen Tucker, Guiomar Niso, Taylor Salo, Maureen J. Shader, Helena Cockx
article en
10 citations

Abstract

Functional near-infrared spectroscopy (fNIRS) is an increasingly popular neuroimaging technique that measures cortical hemodynamic activity in a non-invasive and portable fashion. Although the fNIRS community has been successful in disseminating open-source processing tools and a standard file format (SNIRF), reproducible research and sharing of fNIRS data amongst researchers has been hindered by a lack of standards and clarity over how study data should be organized and stored. This problem is not new in neuroimaging, and it became evident years ago with the proliferation of publicly available neuroimaging datasets. To solve this critical issue, the neuroimaging community created the Brain Imaging Data Structure (BIDS) that specifies standards for how datasets should be organized to facilitate sharing and reproducibility of science. Currently, BIDS supports dozens of neuroimaging modalities including MRI, EEG, MEG, PET, and many others. In this paper, we present the extension of BIDS for NIRS data alongside tools that may assist researchers in organizing existing and new data with the goal of promoting public disseminations of fNIRS datasets.

Scientific DataVol. 12(1)
Boston University (US), Radboud University Nijmegen (NL), Instituto Cajal (ES), Purdue University West Lafayette (US), Karolinska Institutet (SE), Australian Hearing (AU), Basque Center on Cognition, Brain and Language (ES), Max Planck Institute for Human Development (DE), Oticon Medical (Denmark) (DK), Lifespan (US), Centro Internacional de Neurociencia Cajal, University of Houston (US), University of Pennsylvania (US), University of Birmingham (GB), UCLouvain (BE), Stanford University (US), Macquarie University (AU)
National Science Foundation
Openalex Percentile: Top 1%
Optical Imaging and Spectroscopy Techniques
13.60
DOIOpen Access PDFOpenAlex
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