Evidence map›Paper›PMID 20171285›Full record

ArticleNeuroImage2010

Quantifying the effects of normal ageing on white matter structure using unsupervised tract shape modelling.

Mark E Bastin, Susana Muñoz Maniega, Karen J Ferguson, Laura J Brown, Joanna M Wardlaw, Alasdair M J MacLullich, Jonathan D Clayden

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  19. Coupled changes in brain white matter microstructure and fluid intelligence in later life.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
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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

7 authors at 3 institutions in 1 country.

Mark E BastinMedical and Radiological Sciences (Medical Physics), University of Edinburgh, and Western General Hospital, Edinburgh, UK. Mark.Bastin@ed.ac.uk
Susana Muñoz Maniega
Karen J Ferguson
Laura J Brown
Joanna M Wardlaw
Alasdair M J MacLullich
Jonathan D Clayden
University of Edinburgh · GBUniversity College London · GBWestern General Hospital · GB

Funding

MRI+DTI-Based Tools for Analyzing White Matter VariationR01EB004155 · NIBIB · BROWN UNIVERSITY · PI LAIDLAW, DAVID H · 2005 to 2008
$2.0M
Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G108/646NIBIB NIH HHS R01 EB004155NIBIB NIH HHS R01 EB004155-03
6 · The paper itself

Abstract

Quantitative tractography may provide insights into regional heterogeneity of changes in white matter structure in normal ageing. Here we examine how brain atrophy and white matter lesions affect correlations between tract shape, tract integrity and age in a range of frontal and non-frontal tracts in 90 non-demented subjects aged over 65 years using an enhanced version of probabilistic neighbourhood tractography. This novel method for automatic single seed point placement employs unsupervised learning and streamline selection to provide reliable and accurate tract segmentation, whilst also indicating how the shape of an individual tract compares to that of a predefined reference tract. There were significant negative correlations between tract shape similarity to reference tracts derived from a young brain white matter atlas and age in genu and splenium of corpus callosum. Controlling for intracranial and lateral ventricle volume, the latter of which increased significantly with age, attenuated these correlations by 40% and 84%, respectively, indicating that this age-related change in callosal tract topology is significantly mediated by global atrophy and ventricular enlargement. In accordance with the "frontal ageing" hypothesis, there was a significant positive correlation between mean diffusivity (D) and age, and a significant negative correlation between fractional anisotropy (FA) and age in corpus callosum genu; correlations not seen in splenium. Significant positive correlations were also observed between D and age in bilateral cingulum cingulate gyri, uncinate fasciculi and right corticospinal tract. This pattern of correlations was not, however, reproduced when those subjects with significant white matter lesion load were analyzed separately from those without. These data therefore suggest that brain atrophy and white matter lesions play a significant role in driving regional patterns of age-related changes in white matter tract shape and integrity.

Indexed as

AgedAged, 80 and overAgingAnisotropyArtificial IntelligenceAutomationBody WaterBrainCerebral VentriclesDiffusionDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleNerve Fibers, Myelinated

Identifiers

PMID20171285
PMCPMC3763188
OpenAlexW2063514568

What OpenQuestion holds

Textmetadata
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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.