Abstract

The Brain Imaging Data Structure (BIDS) established community consensus on the organization of data and metadata for several neuroimaging modalities. Traditionally, BIDS had a strong focus on functional magnetic resonance imaging (MRI) datasets and lacked guidance on how to store multimodal structural MRI datasets. Here, we present and describe the BIDS Extension Proposal 001 (BEP001), which adds a range of quantitative MRI (qMRI) applications to the BIDS. In general, the aim of qMRI is to characterize brain microstructure by quantifying the physical MR parameters of the tissue via computational, biophysical models. By proposing this new standard, we envision standardization of qMRI through multicenter dissemination of interoperable datasets. This way, BIDS can act as a catalyst of convergence between qMRI methods development and application-driven neuroimaging studies that can help develop quantitative biomarkers for neural tissue characterization. In conclusion, this BIDS extension offers a common ground for developers to exchange novel imaging data and tools, reducing the entrance barrier for qMRI in the field of neuroimaging.

Details

Title
qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data
Author
Karakuzu, Agah 1   VIAFID ORCID Logo  ; Appelhoff, Stefan 2   VIAFID ORCID Logo  ; Auer, Tibor 3   VIAFID ORCID Logo  ; Boudreau, Mathieu 1 ; Feingold, Franklin 4   VIAFID ORCID Logo  ; Khan, Ali R. 5   VIAFID ORCID Logo  ; Lazari, Alberto 6   VIAFID ORCID Logo  ; Markiewicz, Chris 4   VIAFID ORCID Logo  ; Mulder, Martijn 7 ; Phillips, Christophe 8   VIAFID ORCID Logo  ; Salo, Taylor 9   VIAFID ORCID Logo  ; Stikov, Nikola 10 ; Whitaker, Kirstie 11   VIAFID ORCID Logo  ; de Hollander, Gilles 12 

1  Polytechnique Montreal, NeuroPoly Lab, Institute of Biomedical Engineering, Montréal, Canada (GRID:grid.183158.6) (ISNI:0000 0004 0435 3292); Montreal Heart Institute, Montreal, Canada (GRID:grid.482476.b) (ISNI:0000 0000 8995 9090) 
2  Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany (GRID:grid.419526.d) (ISNI:0000 0000 9859 7917) 
3  University of Surrey, NeuroModulation Lab, School of Psychology, Guildford, UK (GRID:grid.5475.3) (ISNI:0000 0004 0407 4824) 
4  Stanford University, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956) 
5  University of Western Ontario, Department of Medical Biophysics, Robarts Research Institute, London, Canada (GRID:grid.39381.30) (ISNI:0000 0004 1936 8884) 
6  University of Oxford, Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
7  Utrecht University, Department of Experimental Psychology, Utrecht, the Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234) 
8  University of Liège, GIGA Cyclotron Research Centre in vivo imaging, GIGA Institute, Liège, Belgium (GRID:grid.4861.b) (ISNI:0000 0001 0805 7253) 
9  Florida International University, Miami, USA (GRID:grid.65456.34) (ISNI:0000 0001 2110 1845) 
10  Polytechnique Montreal, NeuroPoly Lab, Institute of Biomedical Engineering, Montréal, Canada (GRID:grid.183158.6) (ISNI:0000 0004 0435 3292); Montreal Heart Institute, Montreal, Canada (GRID:grid.482476.b) (ISNI:0000 0000 8995 9090); Ss. Cyril and Methodius University, Center for Advanced Interdisciplinary Research, Skopje, North Macedonia (GRID:grid.7858.2) (ISNI:0000 0001 0708 5391) 
11  The Alan Turing Institute, London, UK (GRID:grid.499548.d) (ISNI:0000 0004 5903 3632) 
12  University of Zurich, Zurich Center for Neuroeconomics (ZNE), Department of Economics, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); Spinoza Centre for Neuroimaging, Amsterdam, The Netherlands (GRID:grid.458380.2) (ISNI:0000 0004 0368 8664) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-022-01571-4
ProQuest document ID
2705971799
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.