NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy
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 f...
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Nature Portfolio
2025-01-01
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Online Access: | https://doi.org/10.1038/s41597-024-04136-9 |
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author | Robert Luke Robert Oostenveld Helena Cockx Guiomar Niso Maureen J Shader Felipe Orihuela-Espina Hamish Innes-Brown Stephen Tucker David Boas Meryem A. Yücel Remi Gau Taylor Salo Stefan Appelhoff Christopher J. Markiewicz David McAlpine The BIDS Maintainers Luca Pollonini |
author_facet | Robert Luke Robert Oostenveld Helena Cockx Guiomar Niso Maureen J Shader Felipe Orihuela-Espina Hamish Innes-Brown Stephen Tucker David Boas Meryem A. Yücel Remi Gau Taylor Salo Stefan Appelhoff Christopher J. Markiewicz David McAlpine The BIDS Maintainers Luca Pollonini |
author_sort | Robert Luke |
collection | DOAJ |
description | 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. |
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institution | Kabale University |
issn | 2052-4463 |
language | English |
publishDate | 2025-01-01 |
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spelling | doaj-art-0a5dbe9f1ef143f3bed8ec61bd9eddf32025-02-02T12:08:08ZengNature PortfolioScientific Data2052-44632025-01-011211710.1038/s41597-024-04136-9NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared SpectroscopyRobert Luke0Robert Oostenveld1Helena Cockx2Guiomar Niso3Maureen J Shader4Felipe Orihuela-Espina5Hamish Innes-Brown6Stephen Tucker7David Boas8Meryem A. Yücel9Remi Gau10Taylor Salo11Stefan Appelhoff12Christopher J. Markiewicz13David McAlpine14The BIDS MaintainersLuca Pollonini15Macquarie University Hearing & Department of Linguistics, Australian Hearing HubDonders Institute for Brain, Cognition and Behaviour, Radboud UniversityDonders Institute for Brain, Cognition and Behaviour, Radboud UniversityInstituto Cajal and Cajal International Neuroscience Center, CSIC, Madrid, Spain, CSICDepartment of Speech, Language, and Hearing Sciences, Purdue UniversitySchool of Computer Science, University of BirminghamEriksholm Research InstituteNeurophotonics Center, Department of Biomedical Engineering, Boston UniversityNeurophotonics Center, Department of Biomedical Engineering, Boston UniversityNeurophotonics Center, Department of Biomedical Engineering, Boston UniversityInstitute of Psychology, Université Catholique de LouvainLifespan Informatics & Neuroimaging Center, University of PennsylvaniaCenter for Adaptive Rationality, Max Planck Institute for Human DevelopmentDepartment of Psychology, Stanford UniversityMacquarie University Hearing & Department of Linguistics, Australian Hearing HubDepartment of Engineering Technology, University of HoustonAbstract 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.https://doi.org/10.1038/s41597-024-04136-9 |
spellingShingle | Robert Luke Robert Oostenveld Helena Cockx Guiomar Niso Maureen J Shader Felipe Orihuela-Espina Hamish Innes-Brown Stephen Tucker David Boas Meryem A. Yücel Remi Gau Taylor Salo Stefan Appelhoff Christopher J. Markiewicz David McAlpine The BIDS Maintainers Luca Pollonini NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy Scientific Data |
title | NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy |
title_full | NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy |
title_fullStr | NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy |
title_full_unstemmed | NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy |
title_short | NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy |
title_sort | nirs bids brain imaging data structure extended to near infrared spectroscopy |
url | https://doi.org/10.1038/s41597-024-04136-9 |
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