Evidence map›Paper›PMID 39516511›Full record

ArticleScientific reports2024

The interplay of age, gender and amyloid on brain and cognition in mid-life and older adults.

Léonie Borne, Renate Thienel, Michelle K Lupton, Christine Guo, Philip Mosley, Anna Behler, Joseph Giorgio, Robert Adam, Amelia Ceslis, Pierrick Bourgeat and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

17 authors.

Léonie Borne *School of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, NSW, Australia.
Renate Thienel *School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia. renate.thienel@newcastle.edu.au.
Michelle K LuptonQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Christine GuoActiGraph LLC, Pensacola, FL, USA.
Philip MosleyQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Anna BehlerSchool of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, NSW, Australia.
Joseph GiorgioSchool of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, NSW, Australia.
Robert AdamUQ Centre for Clinical Research (UQCCR), University of Queensland, Brisbane, QLD, Australia.
Amelia CeslisQueensland Brain Institute & School of Psychology, University of Queensland, Brisbane, QLD, Australia.
Pierrick BourgeatCSIRO Health and Biosecurity, Brisbane, QLD, Australia.
Amir FazlollahiCSIRO Health and Biosecurity, Brisbane, QLD, Australia.
Paul MaruffFlorey Institute, University of Melbourne, Melbourne, VIC, Australia.
Christopher C RoweFlorey Institute, University of Melbourne, Melbourne, VIC, Australia.
Colin L MastersFlorey Institute, University of Melbourne, Melbourne, VIC, Australia.
Jurgen FrippCSIRO Health and Biosecurity, Brisbane, QLD, Australia.
Gail A RobinsonQueensland Brain Institute & School of Psychology, University of Queensland, Brisbane, QLD, Australia.
Michael BreakspearSchool of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, NSW, Australia.

Funding

National Health and Medical Research Council APP1095227
6 · The paper itself

Abstract

Deficits in memory are seen as a canonical sign of aging and a prodrome to dementia in older adults. However, our understanding of age-related cognition and brain morphology occurring throughout a broader spectrum of adulthood remains limited. We quantified the relationship between cognitive function and brain morphology (sulcal width, SW) using three cross-sectional observational datasets (PISA, AIBL, ADNI) from mid-life to older adulthood, assessing the influence of age, sex, amyloid (Aβ) and genetic risk for dementia. The data comprised cognitive, genetic and neuroimaging measures of a total of 1570 non-clinical mid-life and older adults (mean age 72, range 49-90 years, 1330 males) and 1365 age- and sex-matched adults with mild cognitive impairment (MCI) or Alzheimer's disease (AD). Among non-clinical adults, we found robust modes of co-variation between regional SW and multidomain cognitive function that differed between the mid-life and older age range. These cortical and cognitive profiles derived from healthy cohorts predicted out-of-sample AD and MCI. Furthermore, Aβ-deposition and educational attainment levels were associated with cognition but not SW. These findings underscoring the complex interplay between factors influencing cognition and brain structure from mid-life onwards, providing valuable insights for future research into neurodegeneration and the development of future screening algorithms.

Indexed as

Alzheimer DiseaseBrainCognitionCognitive DysfunctionAgedAged, 80 and overAge FactorsAgingAmyloid beta-PeptidesCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingAmyloid beta-Peptides

Identifiers

PMID39516511
PMCPMC11549469

What OpenQuestion holds

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LicenceCC BY
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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.