Evidence map›Paper›PMID 23850342›Full record

ArticleNeurobiology of aging2013

Estimated maximal and current brain volume predict cognitive ability in old age.

Natalie A Royle, Tom Booth, Maria C Valdés Hernández, Lars Penke, Catherine Murray, Alan J Gow, Susana Muñoz Maniega, John Starr, Mark E Bastin, Ian J Deary and 1 more

Abstract read
In one paragraph

Article in Neurobiology of aging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Inflammatory protein associations with brain MRI measures: Framingham Offspring Cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

11 authors.

Natalie A RoyleBrain Research Imaging Centre, Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. Electronic address: nat.royle@ed.ac.uk.
Tom Booth
Maria C Valdés Hernández
Lars Penke
Catherine Murray
Alan J Gow
Susana Muñoz Maniega
John Starr
Mark E Bastin
Ian J Deary
Joanna M Wardlaw

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
STRUCTURE, FUNCTION AND COGNITION IN SCHIZOPHRENIAP50MH071616 · NIMH · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2004 to 2008
$11.2M
NEUROMORPHOMETRY IN SCHIZOPHRENIA BY COMPUTER ALGORITHMR01MH056584 · NIMH · WASHINGTON UNIVERSITY · PI CSERNANSKY, JOHN G · 1998 to 2011
$4.2M
Functional-anatomic exploration of cognitive controlR01AG021910 · NIA · WASHINGTON UNIVERSITY · PI BUCKNER, RANDY L · 2005 to 2009
$1.2M
Biotechnology and Biological Sciences Research CouncilMedical Research Council G0700704Medical Research Council G1001245Medical Research Council MR/K026992/1NCRR NIH HHS U24 RR021382NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG03991NIA NIH HHS P50 AG005681NIA NIH HHS P50 AG05681NIA NIH HHS R01 AG021910NIMH NIH HHS P50 MH071616NIMH NIH HHS R01 MH056584NIMH NIH HHS R01 MH56584Wellcome Trust
6 · The paper itself

Abstract

Brain tissue deterioration is a significant contributor to lower cognitive ability in later life; however, few studies have appropriate data to establish how much influence prior brain volume and prior cognitive performance have on this association. We investigated the associations between structural brain imaging biomarkers, including an estimate of maximal brain volume, and detailed measures of cognitive ability at age 73 years in a large (N = 620), generally healthy, community-dwelling population. Cognitive ability data were available from age 11 years. We found positive associations (r) between general cognitive ability and estimated brain volume in youth (male, 0.28; females, 0.12), and in measured brain volume in later life (males, 0.27; females, 0.26). Our findings show that cognitive ability in youth is a strong predictor of estimated prior and measured current brain volume in old age but that these effects were the same for both white and gray matter. As 1 of the largest studies of associations between brain volume and cognitive ability with normal aging, this work contributes to the wider understanding of how some early-life factors influence cognitive aging.

Indexed as

CognitionAdolescentAdultAgedAged, 80 and overAgingBrainChildFemaleForecastingHumansIntelligence TestsMagnetic Resonance ImagingMaleMiddle AgedOrgan SizeAgingBrain volumeIQLife course cognitive abilityStructural brain imaging biomarkers

Identifiers

PMID23850342
PMCPMC3988920

What OpenQuestion holds

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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.