Evidence map›Paper›PMID 27976682›Full record

ArticleNature communications2016

Ageing and brain white matter structure in 3,513 UK Biobank participants.

Simon R Cox, Stuart J Ritchie, Elliot M Tucker-Drob, David C Liewald, Saskia P Hagenaars, Gail Davies, Joanna M Wardlaw, Catharine R Gale, Mark E Bastin, Ian J Deary

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 294 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
294citing papers in PubMed, 4 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

294 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  13. Genetic architecture of the limbic white matter microstructure in aging and Alzheimer's Disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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234 more citing papers are in PubMed but not listed here.

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

10 authors.

Simon R CoxCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.ORCID 0000-0003-4036-3642
Stuart J RitchieCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Elliot M Tucker-DrobDepartment of Psychology, University of Texas, Austin, Texas 78712-0187, USA.
David C LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.ORCID 0000-0002-0544-7368
Saskia P HagenaarsCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Gail DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.ORCID 0000-0002-9812-6642
Catharine R GaleCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI UMBERSON, DEBRA J. · 2002 to 2016
$8.4M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
Cortisol, Socioeconomic Status, and Genetic Influences on Cognitive DevelopmentR01HD083613 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2016 to 2020
$3.0M
Chronic stress and executive function in children: a neuroimaging study of twinsR21HD081437 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI CHURCH-LANG, JESSICA ALICE, TUCKER-DROB, ELLIOT MAX · 2015 to 2016
$425k
Testing Gene-Testosterone Interplay in Adolescent Alcohol UseR21AA023322 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI HARDEN, KATHRYN PAIGE · 2014 to 2015
$420k
Medical Research Council G0400491Medical Research Council MC_QA137853Medical Research Council MC_U147574232Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1NIAAA NIH HHS R21 AA023322NICHD NIH HHS P2C HD042849NICHD NIH HHS R01 HD083613NICHD NIH HHS R21 HD081437NICHD NIH HHS R24 HD042849
6 · The paper itself

Abstract

Quantifying the microstructural properties of the human brain's connections is necessary for understanding normal ageing and disease. Here we examine brain white matter magnetic resonance imaging (MRI) data in 3,513 generally healthy people aged 44.64-77.12 years from the UK Biobank. Using conventional water diffusion measures and newer, rarely studied indices from neurite orientation dispersion and density imaging, we document large age associations with white matter microstructure. Mean diffusivity is the most age-sensitive measure, with negative age associations strongest in the thalamic radiation and association fibres. White matter microstructure across brain tracts becomes increasingly correlated in older age. This may reflect an age-related aggregation of systemic detrimental effects. We report several other novel results, including age associations with hemisphere and sex, and comparative volumetric MRI analyses. Results from this unusually large, single-scanner sample provide one of the most extensive characterizations of age associations with major white matter tracts in the human brain.

Indexed as

AgingAdultAgedBiological Specimen BanksBrainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSex FactorsUnited KingdomWhite Matter

Identifiers

PMID27976682
PMCPMC5172385

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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.