Evidence map›Paper›PMID 34413727›Full record

ArticleFrontiers in systems neuroscience2021

Age-Related Variations in Regional White Matter Volumetry and Microstructure During the Post-adolescence Period: A Cross-Sectional Study of a Cohort of 1,713 University Students.

Ami Tsuchida, Alexandre Laurent, Fabrice Crivello, Laurent Petit, Antonietta Pepe, Naka Beguedou, Stephanie Debette, Christophe Tzourio, Bernard Mazoyer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
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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

9 authors at 4 institutions in 1 country.

Ami TsuchidaGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.
Alexandre LaurentGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.
Fabrice CrivelloGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.
Laurent PetitGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.
Antonietta PepeGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.
Naka BeguedouGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.
Stephanie DebetteUniversité de Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.
Christophe TzourioUniversité de Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.
Bernard MazoyerGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.
Institut des Maladies Neurodégénératives · FRUniversité de Bordeaux · FRCentre National de la Recherche Scientifique · FRCentre Hospitalier Universitaire de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human brain white matter undergoes a protracted maturation that continues well into adulthood. Recent advances in diffusion-weighted imaging (DWI) methods allow detailed characterizations of the microstructural architecture of white matter, and they are increasingly utilized to study white matter changes during development and aging. However, relatively little is known about the late maturational changes in the microstructural architecture of white matter during post-adolescence. Here we report on regional changes in white matter volume and microstructure in young adults undergoing university-level education. As part of the MRi-Share multi-modal brain MRI database, multi-shell, high angular resolution DWI data were acquired in a unique sample of 1,713 university students aged 18-26. We assessed the age and sex dependence of diffusion metrics derived from diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) in the white matter regions as defined in the John Hopkins University (JHU) white matter labels atlas. We demonstrate that while regional white matter volume is relatively stable over the age range of our sample, the white matter microstructural properties show clear age-related variations. Globally, it is characterized by a robust increase in neurite density index (NDI), and to a lesser extent, orientation dispersion index (ODI). These changes are accompanied by a decrease in diffusivity. In contrast, there is minimal age-related variation in fractional anisotropy. There are regional variations in these microstructural changes: some tracts, most notably cingulum bundles, show a strong age-related increase in NDI coupled with decreases in radial and mean diffusivity, while others, mainly cortico-spinal projection tracts, primarily show an ODI increase and axial diffusivity decrease. These age-related variations are not different between males and females, but males show higher NDI and ODI and lower diffusivity than females across many tracts. These findings emphasize the complexity of changes in white matter structure occurring in this critical period of late maturation in early adulthood.

Indexed as

cohortcross-sectionaldiffusionDTIMRINODDIpost-adolescencewhite matter

Identifiers

PMID34413727
PMCPMC8369154
OpenAlexW3188968914

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.