Evidence map›Paper›PMID 34283296›Full record

ArticleBrain structure & function2021

The MRi-Share database: brain imaging in a cross-sectional cohort of 1870 university students.

Ami Tsuchida, Alexandre Laurent, Fabrice Crivello, Laurent Petit, Marc Joliot, Antonietta Pepe, Naka Beguedou, Marie-Fateye Gueye, Violaine Verrecchia, Victor Nozais and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. A Human Brain Map of Mitochondrial Respiratory Capacity and Diversity.bioRxiv : the preprint server for biology · 2024
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  13. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ami TsuchidaGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0001-5160-6203
Alexandre LaurentGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.
Fabrice CrivelloGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0001-6950-984X
Laurent PetitGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0003-2499-5367
Marc JoliotGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0001-7792-308X
Antonietta PepeGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0002-3407-9752
Naka BeguedouGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.
Marie-Fateye GueyeGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.
Violaine VerrecchiaGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0002-2385-3079
Victor NozaisGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0003-2529-1839
Laure ZagoGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0001-8235-2154
Emmanuel MelletGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.
Stéphanie DebetteUniversité de Bordeaux, INSERM, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0001-8675-7968
Christophe TzourioUniversité de Bordeaux, INSERM, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.ORCID http://orcid.org/0000-0002-6517-2984
Bernard MazoyerGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France. bernard.mazoyer@u-bordeaux.fr.ORCID http://orcid.org/0000-0003-0970-2837

Funding

Agence Nationale de la Recherche ANR-10-COHO-05-01Agence Nationale de la Recherche ANR-10-LABX-57Agence Nationale de la Recherche ANR-15-HBPR-0001-03Agence Nationale de la Recherche ANR-16-LCV2-0006Agence Nationale de la Recherche ANR-18- RHUS-002Conseil Régional Aquitaine 4370420Fondation pour la Recherche Médicale (FR) DIC202161236446H2020 European Research Council 640643
6 · The paper itself

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.

Indexed as

BrainUniversitiesAdolescentAdultCross-Sectional StudiesDiffusion Tensor ImagingHumansMagnetic Resonance ImagingNeuroimagingStudentsYoung AdultBrainCohortCross-sectionalMRIPost-adolescenceStudent

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.