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MRI Brain

MRi-Share

MRi-Share: brain MRI substudy of the i-Share student health cohort

Brain MRI of healthy university students, collected to describe brain changes in the late teens and twenties and to pair with UK Biobank across the adult age range. 1,832 students aged 18 to 35 in Bordeaux scanned with a UK Biobank-like protocol. Access by approved collaboration.

Overview

MRi-Share is the brain imaging arm of i-Share, a French cohort study of student health coordinated from the University of Bordeaux. The Neurofunctional Imaging Group (GIN-IMN) scanned students from the Bordeaux site to describe how brain structure and function change in the late teens and twenties, to look for early markers of later-life disease, and to serve as an imaging data platform for other researchers. The protocol copies the UK Biobank brain imaging protocol closely so that the two cohorts can be analysed together across the adult age range.

Composition

Of 2,000 students who met the study physicians between October 2015 and June 2017, 1,870 were scanned. After one withdrawal, one scanner failure and 36 exclusions for incidental findings that needed medical referral, the described sample holds 1,832 participants: 1,320 women and 512 men, mean age 22.1 years (range 18.1 to 34.9). 1,722 were younger than 26. Participants were healthy volunteers; exclusion criteria were age over 35, pregnancy or nursing, claustrophobia and MRI contraindications.

Acquisition

All scans come from one Siemens Prisma 3 T scanner with a 64-channel head coil, acquired between November 2015 and November 2017 in sessions of about 45 minutes. Each session has a 3D MPRAGE T1w and a 3D SPACE FLAIR at 1 mm isotropic, an axial SWI (0.8 x 0.8 x 3.0 mm), multi-shell diffusion at 1.75 mm with b-values 300, 1000 and 2000 s/mm2, and a resting-state fMRI run of about 15 minutes (multiband 6, TR 850 ms, 2.4 mm). All 1,832 have T1w and FLAIR; SWI, diffusion and resting-state fMRI are available for 1,830, 1,823 and 1,814. T1w and FLAIR images are defaced with the UK Biobank face mask.

Annotations

No manual labels are described. The GIN processing platform (ABACI) produces image-derived phenotypes such as cortical thickness, surface area, tissue volumes, diffusion tensor and NODDI metrics, and resting-state connectivity. Global phenotypes for 1,831 participants are openly available as a table; the images are not.

Known limitations

  • Not public. Access needs an approved i-Share collaboration proposal, a signed charter and a contribution to costs.
  • About 72% of participants are women, which reflects the i-Share cohort, and almost all are under 26.
  • Single site and single scanner, so it does not test generalisation across hardware.
  • Cross-sectional: each participant was scanned once.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 1,832 subjects.

Sex

  • Female 1,320 72%
  • Male 512 28%

Table 1 in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

Contrast / sequence

Groups can overlap

  • T1-weighted 1,832 100%
  • FLAIR 1,832 100%
  • Susceptibility-weighted 1,830 100%
  • Diffusion-weighted 1,823 100%
  • BOLD fMRI 1,814 99%

Table 2 in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

Field strength

  • 3 T 1,832 100%

Data Acquisition, MRI acquisition in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

Age

mean 22.1 ± 2.3, range 18.1 to 34.9

0
500
1,000
1,500
1,722
18-25

Table 1 in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

Scanner vendor

  • Siemens Healthineers 1,832 100%

Data Acquisition, MRI acquisition in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

Country

  • France 1,832 100%

Data Acquisition, MRI acquisition in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

Age by sex

Reported cross table. Missing cells were not published (fewer than 10 or not reported).

Female Male
  • 1,252
    18-25
    470

Table 1 in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wFLAIRSubjects with exactly this set
2

Data Acquisition, MRI acquisition in Tsuchida et al. 2020, The MRi-Share database, bioRxiv preprint v1

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Application

A research proposal is reviewed and approved

Access page
For De-identified raw and processed MRi-Share images and data dictionaries.

Ancillary Studies Charter, University of Bordeaux / i-Share study

Every use of i-Share data, including the MRi-Share imaging platform, is an ancillary study that the i-Share executive committee must approve. The lead researcher signs the charter, pays for access, may use the data only for the declared analyses and by the named people, destroys the data at the end, and follows the publication rules, which make the MRi platform lead a co-signatory of every article that uses its data.

The data descriptor says the images cannot go to a public repository under French rules and that requests go to the i-Share Scientific Collaborations Coordinator with a letter of intent, followed by an application package reviewed by the PI, the Steering Committee and operational staff. The i-Share site asks applicants to sign the i-Share ancillary studies charter, and the charter makes requesters fund the cost of access. Global image-derived phenotypes of 1,831 participants (age, sex and 15 summary measures, no images) are open on Dryad under CC0 and are not covered by this entry.

Original license text Version read: ENR-EA-CHART v2.0, 26/10/2017 Checked 2026-10-09

What you can do

  • Not stated
  • Not stated
  • Train ML models Not stated
  • Not stated
  • Conditional

What you can share

  • No
  • Share derived data Not stated
  • Share trained models Not stated

What you must do

  • Yes
  • Share alike No
  • Yes
  • Conditional
  • Conditional
  • Conditional
  • Conditional
  • Yes

Limits

  • Conditional
  • No

Citation

Tsuchida A, Laurent A, Crivello F, et al. The MRi-Share database: brain imaging in a cross-sectional cohort of 1870 university students. Brain Structure and Function 226, 2057-2085 (2021). doi:10.1007/s00429-021-02334-4

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.