Evidence map›Paper›PMID 35195323›Full record

ArticleHuman brain mapping2022

Signatures of life course socioeconomic conditions in brain anatomy.

Leyla Loued-Khenissi, Olga Trofimova, Peter Vollenweider, Pedro Marques-Vidal, Martin Preisig, Antoine Lutti, Matthias Kliegel, Carmen Sandi, Ferhat Kherif, Silvia Stringhini and 1 more

Abstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Linking the exposome to the brain-behaviour phenotype.Nature reviews. Neuroscience · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cortical Surface Area Profile Mediates Effects of Childhood Disadvantage on Later-Life General Cognitive Ability.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. 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
  13. Childhood Disadvantage Moderates Late Midlife Default Mode Network Cortical Microstructure and Visual Memory Association.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  14. Article
  15. Article
  16. Examining the Impact of Socioeconomic Position Across the Life Course on Cognitive Function and Brain Structure in Healthy Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  17. Article
  18. 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

11 authors.

Leyla Loued-KhenissiLaboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.ORCID 0000-0003-3241-6492
Olga TrofimovaLaboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.
Peter VollenweiderDepartment of medicine, Internal medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Pedro Marques-VidalDepartment of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Martin PreisigDepartment of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Antoine LuttiLaboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.ORCID 0000-0003-3281-5477
Matthias KliegelLaboratoire du Vieillissement Cognitif, Université de Genève, Geneva, Switzerland.
Carmen SandiLaboratory of Behavioral Genetics, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland.
Ferhat KherifLaboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.
Silvia StringhiniUniversity Centre for General Medicine and Public Health (UNISANTE), Lausanne University, Lausanne, Switzerland.
Bogdan DraganskiLaboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Socioeconomic status (SES) plays a significant role in health and disease. At the same time, early-life conditions affect neural function and structure, suggesting the brain may be a conduit for the biological embedding of SES. Here, we investigate the brain anatomy signatures of SES in a large-scale population cohort aged 45-85 years. We assess both gray matter morphometry and tissue properties indicative of myelin content. Higher life course SES is associated with increased volume in several brain regions, including postcentral and temporal gyri, cuneus, and cerebellum. We observe more widespread volume differences and higher myelin content in the sensorimotor network but lower myelin content in the temporal lobe associated with childhood SES. Crucially, childhood SES differences persisted in adult brains even after controlling for adult SES, highlighting the unique contribution of early-life conditions to brain anatomy, independent of later changes in SES. These findings inform on the biological underpinnings of social inequality, particularly as they pertain to early-life conditions.

Indexed as

BrainLife Change EventsAdultChildGray MatterHumansSocial ClassSocioeconomic Factorsmultiparametric mapsquantitative MRIsocioeconomic status

Identifiers

PMID35195323
PMCPMC9057097

What OpenQuestion holds

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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.