Evidence map›Paper›PMID 29149632›Full record

ArticleNeurobiology of aging2018

Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume.

Stuart J Ritchie, David Alexander Dickie, Simon R Cox, Maria Del C Valdés Hernández, Ruth Sibbett, Alison Pattie, Devasuda Anblagan, Paul Redmond, Natalie A Royle, Janie Corley and 9 more

Abstract read
In one paragraph

Article in Neurobiology of aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Review
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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

19 authors.

Stuart J RitchieDepartment of Psychology, The University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK. Electronic address: stuart.ritchie@ed.ac.uk.
David Alexander DickieInstitute of Cardiovascular and Medical Sciences, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK; Brain Research Imaging Centre, the University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Simon R CoxDepartment of Psychology, The University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.
Maria Del C Valdés HernándezCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, the University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Ruth SibbettCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, UK.
Alison PattieDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Devasuda AnblaganCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Paul RedmondDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Natalie A RoyleCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, the University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Janie CorleyDepartment of Psychology, The University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.
Susana Muñoz ManiegaCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, the University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Adele M TaylorDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Sherif KaramaDepartment of Neurology and Neurosurgery, McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada.
Tom BoothDepartment of Psychology, The University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.
Alan J GowCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Department of Psychology, Heriot-watt University, Edinburgh, UK.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, UK.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, the University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, the University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration; Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Ian J DearyDepartment of Psychology, The University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.

Funding

Biotechnology and Biological Sciences Research Council 15/SAG09977Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1Medical Research Council MR/N003403/1Medical Research Council MR/R024065/1Wellcome Trust
6 · The paper itself

Abstract

Fully characterizing age differences in the brain is a key task for combating aging-related cognitive decline. Using propensity score matching on 2 independent, narrow-age cohorts, we used data on childhood cognitive ability, socioeconomic background, and intracranial volume to match participants at mean age of 92 years (n = 42) to very similar participants at mean age of 73 years (n = 126). Examining a variety of global and regional structural neuroimaging variables, there were large differences in gray and white matter volumes, cortical surface area, cortical thickness, and white matter hyperintensity volume and spatial extent. In a mediation analysis, the total volume of white matter hyperintensities and total cortical surface area jointly mediated 24.9% of the relation between age and general cognitive ability (tissue volumes and cortical thickness were not significant mediators in this analysis). These findings provide an unusual and valuable perspective on neurostructural aging, in which brains from the 8th and 10th decades of life differ widely despite the same cognitive, socioeconomic, and brain-volumetric starting points.

Indexed as

Socioeconomic FactorsAgedAged, 80 and overAgingBrainCerebral CortexCognitionCognitive AgingCohort StudiesCross-Sectional StudiesHumansIntelligenceNeuroimagingOrgan SizePropensity ScoreWhite MatterAgingBrain volumeLesion mappingStructural MRIWhite matter hyperintensities

Identifiers

PMID29149632
PMCPMC5759896

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.