Abstract
We report on MRi-Share, a multi-modal brain MRI database acquired in a unique sample of 1870 young healthy adults, aged 18–35 years, while undergoing university-level education. MRi-Share contains structural (T1 and FLAIR), diffusion (multispectral), susceptibility-weighted (SWI), and resting-state functional imaging modalities. Here, we described the contents of these different neuroimaging datasets and the processing pipelines used to derive brain phenotypes, as well as how quality control was assessed. In addition, we present preliminary results on associations of some of these brain image-derived phenotypes at the whole brain level with both age and sex, in the subsample of 1722 individuals aged less than 26 years. We demonstrate that the post-adolescence period is characterized by changes in both structural and microstructural brain phenotypes. Grey matter cortical thickness, surface area and volume were found to decrease with age, while white matter volume shows increase. Diffusivity, either radial or axial, was found to robustly decrease with age whereas fractional anisotropy only slightly increased. As for the neurite orientation dispersion and densities, both were found to increase with age. The isotropic volume fraction also showed a slight increase with age. These preliminary findings emphasize the complexity of changes in brain structure and function occurring in this critical period at the interface of late maturation and early ageing.
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Availability of data and material
Due to French regulations regarding sharing of the medical imaging data, individual raw data used for this study cannot be shared through a public repository. Rather, to access i-Share and MRi-Share de-identified data, a request can be submitted to the i-Share Scientific Collaborations Coordinator (ilaria.montagni@u-bordeaux.fr) with a letter of intent (explaining the rationale and objectives of the research proposal), and a brief summary of the planned means and options for funding. The i-Share Steering Committee will assess this request, and provide a response (principle agreement, request to reformulate the application or for further information, refusal with reasons). If positive, applicants will have to complete and return an application package that will be reviewed by the principal investigator, the Steering Committee, and the operational staff. Reviews will be based on criteria such as the regulatory framework and adherence to regulations (access to data, confidentiality), the scientific and methodological quality of the project, the relevance of the project in relation to the overall consistency of the cohort in the long term, the complementarity/competition with projects planned or currently underway, ethical aspects. Both de-identified raw and processed data (and data dictionaries) will be shared after (i) final approval of the application, and (ii) formalization of the specifics of the collaboration. The group average images and the global imaging-derived phenotypes reported in the present manuscript are available in the Neurovault (http://neurovault.org/collections/9973/) and the Dryad repository (https://doi.org/10.5061/dryad.q573n5tj2), respectively.
Code availability
Source codes used for the processing of images in the MRi-Share database are part of ABACI, an IDDN referenced software (Inter Deposit Digital Number: IDDN.FR.001.410013.000.S.P.2016.000.31235) and its intellectual property rights accorded to University of Bordeaux, CNRS and CEA. For academic institutions, these codes are available free of charge upon request to F.C. (fabrice.crivelo@u-bordeaux.fr). Source codes for the statistical analysis presented in the manuscript are available on GitHub (https://github.com/atsuch/MRiShare_globalIDP_analysis) or Zenodo (https://doi.org/10.5281/zenodo.4776037) repository.
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Acknowledgements
The authors express their deep gratitude to Loïc Labache for his help in preparing the manuscript. They are also indebted to the following individuals for their invaluable contribution to the MRi-Share project: Serge Anandra, Amandine André, Gregory Beaudet, Christophe Bernard, Bruno Brochet, Aurore Capelli, Claire Cardona, Arnaud Chaussé, Christophe Delalande, Vincent Durand, Louise Knafo, Morgane Lachaize, Hugues Loiseau, Elena Milesi, Marie Mougin, Maylis Melin, Guy Perchey, Clothilde Pollet, Thomas Tourdias, Cécile Marchal, Guillaume Penchet, Cécile Dulau, Igor Sibon, Sabrina Debruxelle, Sophie Auriacombe, Caroline Roussillon, Nicolas Vinuesa, and the i-Share “relay” students. The authors are also indebted to Paul Matthews (Imperial College, London, UK) and to the personnel of the UK-Biobank imaging center at Stockport (UK) for their help while designing the Mri-Share image acquisition protocol, and to Maxime Descoteaux (Sherbrooke University, Canada) for his help in implementing the DWI processing and QC pipelines. Finally, the authors would like to express their gratitude to the 1,870 students of the Bordeaux University who gave their consent to participate in MRi-Share.
Funding
The i-Share cohort has been funded by a grant ANR-10-COHO-05-01 (P.I. C Tzourio) as part of the Programme pour les Investissements d’Avenir. Supplementary funding was received from the Conseil Régional of Nouvelle-Aquitaine, Reference 4370420 (P.I. C Tzourio). The MRi-Share cohort and the ABACI software development have been supported by grants ANR-10-LABX-57 (P.I. B Mazoyer) and ANR-16-LCV2-0006 (GINESISLAB for the software, P.I. M Joliot). The bio-Share cohort and some regulatory and ethical aspects of MRi-Share have been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 640643 (P.I. S Debette) and the FHU SMART. A Tsuchida, N Beguedou, and A Laurent have been supported by a grant from the Fondation pour la Recherche Médicale (DIC202161236446, P.I. B Mazoyer), M-F Gueye, V Verrecchia, and V Nozais by a grant ANR-16-LCV2-0006 (GINESISLAB), and A Pepe by a Grant ANR-15-HBPR-0001-03 (P.I. F Crivello, as part of the EU FLAG-ERA MULTI-LATERAL consortium). Additional support for A Tsuchida and A Laurent was provided by Grant ANR-18-RHUS-002 (RHU SHIVA, P.I. S Debette) as part of the Programme Investissements d’Avenir.
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BM, CT, and SD contributed to conception and design of the study. BM and EM acquired the data. AT, AL, FC, MFG, MJ, VV, and NZ organized and processed imaging data to obtain IDPs described in the paper. AP and NB contributed to the QC of the IDPs. AT and BM performed the statistical analysis. AT and BM wrote the first draft of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.
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The study protocol was approved by the Comité de Protection des Personnes Sud-Ouest et Outre-Mer (local ethics committee CPP SOOMIII) with agreement nr 2015-A00850-49.
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Tsuchida, A., Laurent, A., Crivello, F. et al. The MRi-Share database: brain imaging in a cross-sectional cohort of 1870 university students. Brain Struct Funct 226, 2057–2085 (2021). https://doi.org/10.1007/s00429-021-02334-4
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DOI: https://doi.org/10.1007/s00429-021-02334-4