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The MRi-Share database: brain imaging in a cross-sectional cohort of 1,870 university students

By Ami Tsuchida, Alexandre Laurent, Fabrice Crivello, Laurent Petit, Marc Joliot, Antonietta Pepe, Naka Beguedou, Marie-Fateye Gueye, Violaine Verrecchia, Victor Nozais, Laure Zago, Nathalie Tzourio-Mazoyer, Emmanuel Mellet, Stephanie Debette, Christophe Tzourio, Bernard Mazoyer

Posted 18 Jun 2020
bioRxiv DOI: 10.1101/2020.06.17.154666

We report on MRi-Share, a multi-modal brain MRI database acquired in a unique sample of 1,870 young healthy adults, aged 18 to 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 1,722 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 aging. ### Competing Interest Statement The authors have declared no competing interest.

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