Evidence map›Paper›PMID 26041932›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

Coupled changes in brain white matter microstructure and fluid intelligence in later life.

Stuart J Ritchie, Mark E Bastin, Elliot M Tucker-Drob, Susana Muñoz Maniega, Laura E Engelhardt, Simon R Cox, Natalie A Royle, Alan J Gow, Janie Corley, Alison Pattie and 5 more

Abstract readMulticenter Study
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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
    Article
  4. Article
  5. Review
  6. Article
  7. Lessons we learned from the Lothian Birth Cohorts of 1921 and 1936.Genomic psychiatry : advancing science from genes to society · 2025
    Article
  8. Article
  9. The Neurobiology of Life Course Socioeconomic Conditions and Associated Cognitive Performance in Middle to Late Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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.

Stuart J RitchieDepartment of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, and stuart.ritchie@ed.ac.uk.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, and Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh EH16 4SA, UK, Brain Research Imaging Centre, The University of Edinburgh, Edinburgh EH4 2XU, UK, Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), Edinburgh, UK.ORCID http://orcid.org/0000-0002-0490-0845
Elliot M Tucker-DrobDepartment of Psychology, University of Texas, Austin, Texas 78712-0187, and.
Susana Muñoz ManiegaCentre for Cognitive Ageing and Cognitive Epidemiology, and Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh EH16 4SA, UK, Brain Research Imaging Centre, The University of Edinburgh, Edinburgh EH4 2XU, UK, Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), Edinburgh, UK.
Laura E EngelhardtDepartment of Psychology, University of Texas, Austin, Texas 78712-0187, and.ORCID http://orcid.org/0000-0001-7254-5702
Simon R CoxDepartment of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, and.
Natalie A RoyleCentre for Cognitive Ageing and Cognitive Epidemiology, and Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh EH16 4SA, UK, Brain Research Imaging Centre, The University of Edinburgh, Edinburgh EH4 2XU, UK, Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), Edinburgh, UK.
Alan J GowCentre for Cognitive Ageing and Cognitive Epidemiology, and Department of Psychology, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Janie CorleyDepartment of Psychology.
Alison PattieDepartment of Psychology.
Adele M TaylorDepartment of Psychology.ORCID http://orcid.org/0000-0003-4541-4568
Maria Del C Valdés HernándezCentre for Cognitive Ageing and Cognitive Epidemiology, and Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh EH16 4SA, UK, Brain Research Imaging Centre, The University of Edinburgh, Edinburgh EH4 2XU, UK, Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), Edinburgh, UK.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, and Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh EH8 9JZ, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, and Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh EH16 4SA, UK, Brain Research Imaging Centre, The University of Edinburgh, Edinburgh EH4 2XU, UK, Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), Edinburgh, UK.ORCID http://orcid.org/0000-0002-9812-6642
Ian J DearyDepartment of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, and.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1Wellcome Trust
6 · The paper itself

Abstract

Understanding aging-related cognitive decline is of growing importance in aging societies, but relatively little is known about its neural substrates. Measures of white matter microstructure are known to correlate cross-sectionally with cognitive ability measures, but only a few small studies have tested for longitudinal relations among these variables. We tested whether there were coupled changes in brain white matter microstructure indexed by fractional anisotropy (FA) and three broad cognitive domains (fluid intelligence, processing speed, and memory) in a large cohort of human participants with longitudinal diffusion tensor MRI and detailed cognitive data taken at ages 73 years (n = 731) and 76 years (n = 488). Longitudinal changes in white matter microstructure were coupled with changes in fluid intelligence, but not with processing speed or memory. Individuals with higher baseline white matter FA showed less subsequent decline in processing speed. Our results provide evidence for a longitudinal link between changes in white matter microstructure and aging-related cognitive decline during the eighth decade of life. They are consistent with theoretical perspectives positing that a corticocortical "disconnection" partly explains cognitive aging.

Indexed as

Brain MappingIntelligenceAgedAnisotropyBrainCognitionCohort StudiesDiffusion Tensor ImagingFemaleHumansMaleRetrospective StudiesStatistics as TopicWhite Mattercognitive agingdiffusion tensor imagingfluid intelligencefractional anisotropyprocessing speedwhite matter microstructure

Identifiers

PMID26041932
PMCPMC4452562

What OpenQuestion holds

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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.