Evidence map›Paper›PMID 40800304›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Uncovering patterns of white matter degeneration in normal aging: Links between morphometry and microstructure.

Tyler D Robinson, Yutong L Sun, Paul T H Chang, J Jean Chen

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

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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

4 authors.

Tyler D RobinsonRotman Research Institute, Baycrest, Toronto, Canada.
Yutong L SunRotman Research Institute, Baycrest, Toronto, Canada.
Paul T H ChangRotman Research Institute, Baycrest, Toronto, Canada.
J Jean ChenRotman Research Institute, Baycrest, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While tract-wise differences in volume and microstructure are common targets of investigation in age-related changes in the white matter (WM), there has been relatively little exploration into other attributes of tract morphometry or its relation to microstructure in vivo, and limited understanding on how they jointly inform the understanding of the WM aging trajectory. This study examines 10 WM tracts for tract-wise differences in morphometry (i.e., volume, length, and volume-to-length ratio) and microstructural integrity (i.e., fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity) using diffusion MRI data from the Human Connectome Project in Aging (HCP-A) with the goal of laying the foundation for a more comprehensive model of age-related WM microstructure-morphometry trajectories with a special focus on age-shifted correlations and sex differences. Results indicated that degeneration in microstructure was detectable at younger ages than changes in morphometry, with widely heterogeneous patterns of interrelation and morphometry-microstructural associations in aging both across tracts and between sexes. Multi-parametric signatures of decline suggest differing stages or mechanisms of degeneration across tracts, with female subjects exhibiting a higher proportion of tracts in later stages of decline than males. This work highlights the value of integrating microstructural and morphometric measures of WM health, and encourages the integration of yet more modalities in improving our mechanistic understanding of WM aging.

Indexed as

agingdiffusionmicrostructuremorphometrytractographywhite matter

Identifiers

PMID40800304
PMCPMC12272242

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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.