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

Cite this dataset

Crivello, Fabrice; Tsuchida, Ami; Mazoyer, Bernard; Tzourio, Christohpe (2022). Data from: The MRi-Share database: Brain imaging in a cross-sectional cohort of 1,870 university students [Dataset]. Dryad. https://doi.org/10.5061/dryad.q573n5tj2

Abstract

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.

Methods

The dataset is based on magnetic resonance imaging (MRI) data collected as part of MRiShare database. The anatomical and diffusion-weighted imaging data from 1,832 healthy subjects were processed as described in the associated publication. The dataset contains global imaging-derived phenotypes (IDPs) described in the paper.

Usage notes

The dataset can be used with the associated R script Global_morphometry

List of variables and their units:

  • Age:  age in years
  • Sex: F-females, M-males
  • eTIV: estimate of total intracranial volume based on Freesurfer v6.0 in mm3
  • FS6_mean_CT: mean CT based on Freesurfer v6.0 in mm
  • FS6_total_innerCSA: total inner(white) CSA based on Freesurfer v6.0 in mm2
  • FS6_total_pialCSA: total pial CSA based on Freesurfer v6.0 in mm2
  • SPM_GM_volume: total grey matter volume based on SPM12 in mm3
  • SPM_WM_volume: total white matter volume based on SPM12 in mm3
  • FS6_cerebralWM_mask_vol: volume of the cerebral white matter mask based on Freesurfer v6.0 segmentation in mm3
  • cerebralWM_mean_FA: mean FA within the subject-specific cerebral WM mask (unitless)
  • cerebralWM_mean_MD: mean MD within the subject-specific cerebral WM mask in mm2/sec
  • cerebralWM_mean_AD: mean AD within the subject-specific cerebral WM mask in mm2/sec
  • cerebralWM_mean_RD: mean RD within the subject-specific cerebral WM mask in mm2/sec
  • cerebralWM_mean_NDI: mean NDI within the subject-specific cerebral WM mask (unitless)
  • cerebralWM_mean_ISOVF: mean ISOVF within the subject-specific cerebral WM mask (unitless)
  • cerebralWM_mean_ODI: mean ODI within the subject-specific cerebral WM mask (unitless)

Missing data: 

Due to the premature end of the scanning session, data from 9 subjects are missing for the IDPs based on DWI (last 8 columns). These are coded as NA.

Also, one participant withdrew from the study since the writing of the associated publication, and therefore data contain values from 1,831, instead of 1,832 participants.

Funding

European Research Council, Award: 640643

Aquitaine Regional Council, Award: 4370420

Fondation pour la Recherche Médicale, Award: DIC202161236446

Agence Nationale de la Recherche, Award: ANR-10-LABX-57

Agence Nationale de la Recherche, Award: ANR-16-LCV2-0006

Agence Nationale de la Recherche, Award: ANR-10-COHO-05-01