Evidence map›Paper›PMID 30779761›Full record

ArticlePloS one2019

Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study.

Anya Topiwala, Sana Suri, Charlotte Allan, Vyara Valkanova, Nicola Filippini, Claire E Sexton, Verena Heise, Enikő Zsoldos, Abda Mahmood, Archana Singh-Manoux and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

Anya TopiwalaDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8408-0372
Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Charlotte AllanDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Vyara ValkanovaDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Nicola FilippiniDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-1513-5269
Claire E SextonDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Verena HeiseDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5625-4128
Enikő ZsoldosDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0478-6165
Abda MahmoodDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Archana Singh-ManouxCentre for Research in Epidemiology and Population Health, INSERM, Villejuif, France.ORCID 0000-0002-1244-5037
Clare E MackayDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6111-8318
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, London, United Kingdom.ORCID 0000-0002-4699-5627
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5190-7038
University of Oxford · GBInserm · FRUniversity College London · GB

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Health behaviors over the adult lifecourse and cognitive agingR01AG034454 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2009 to 2013
$1.5M
Role of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5M
Department of HealthMedical Research Council G1001354Medical Research Council MC_EX_MR/N50192X/1Medical Research Council MR/K013351/1Medical Research Council MR/L023784/1Medical Research Council MR/M024962/1Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1NIA NIH HHS R01 AG013196NIA NIH HHS R01 AG034454NIA NIH HHS R01 AG056477Wellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

backgroundThere is significant heterogeneity in the clinical expression of structural brain abnormalities, including Alzheimer's disease biomarkers. Some individuals preserve their memory despite the presence of risk factors or pathological brain changes, indicating resilience. We aimed to test whether resilient individuals could be distinguished from those who develop cognitive impairment, using sociodemographic variables and neuroimaging.

methodsWe included 550 older adults participating in the Whitehall II study with longitudinal data, cognitive test results, and multi-modal MRI. Hippocampal atrophy was defined as Scheltens Scores >0. Resilient individuals (n = 184) were defined by high cognitive performance despite hippocampal atrophy (HA). Non-resilient participants (n = 133) were defined by low cognitive performance (≥1.5 standard deviations (S.D.) below the group mean) in the presence of HA. Dynamic and static exposures were evaluated for their ability to predict later resilience status using multivariable logistic regression. In a brain-wide analysis we tested for group differences in the integrity of white matter (structural connectivity) and resting-state networks (functional connectivity).

findingsYounger age (OR: 0.87, 95% CI: 0.83 to 0.92, p<0.001), higher premorbid FSIQ (OR: 1.06, 95% CI: 1.03 to 1.10, p<0.0001) and social class (OR 1 vs. 3: 4.99, 95% CI: 1.30 to 19.16, p = 0.02, OR 2 vs. 3: 8.43, 95% CI: 1.80 to 39.45, p = 0.007) were independently associated with resilience. Resilient individuals could be differentiated from non-resilient participants by higher fractional anisotropy (FA), and less association between anterior and posterior resting state networks. Higher FA had a significantly more positive effect on cognitive performance in participants with HA, compared to those without.

conclusionsResilient individuals could be distinguished from those who developed impairments on the basis of sociodemographic characteristics, brain structural and functional connectivity, but not midlife lifestyles. There was a synergistic deleterious effect of hippocampal atrophy and poor white matter integrity on cognitive performance. Exploiting and supporting neural correlates of resilience could offer a fresh approach to postpone or avoid the appearance of clinical symptoms.

Indexed as

Magnetic Resonance ImagingAgedBrainBrain MappingCognitive DysfunctionFemaleHumansLife StyleMaleMiddle AgedProspective Studies

Identifiers

PMID30779761
PMCPMC6380585
OpenAlexW2908799441

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.