Evidence map›Paper›PMID 40691153›Full record

ArticleNature communications2025

Measurement characteristics and genome-wide correlates of lifetime brain atrophy estimated from a single MRI.

Anna E Fürtjes, Isabelle F Foote, Charley Xia, Gail Davies, Joanna Moodie, Adele Taylor, David C Liewald, Paul Redmond, Janie Corley, Andrew M McIntosh and 14 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
    Review
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Anna E FürtjesSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK. afurtjes@ed.ac.uk.ORCID http://orcid.org/0000-0001-6590-4957
Isabelle F FooteInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-0253-4116
Charley XiaSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-8194-9351
Gail DaviesSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-1120-7026
Joanna MoodieSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.
Adele TaylorSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.
David C LiewaldSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0544-7368
Paul RedmondSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.
Janie CorleySchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-7551-1871
Andrew M McIntoshCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0198-4588
Heather C WhalleyCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4505-8869
Susana Muñoz ManiegaCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5185-6384
Maria Valdés HernándezCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Ellen BackhouseCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Karen FergusonCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Mark E BastinCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Joanna WardlawCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9812-6642
Javier de la FuenteDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0001-8352-7104
Andrew D GrotzingerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0001-7852-9244
Michelle LucianoSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-7306-3008
W David HillSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-7205-1606
Ian J DearySchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-1733-263X
Elliot M Tucker-DrobDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0001-5599-6237
Simon R CoxSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4036-3642

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI KAREN L FINGERMAN · 2020 to 2026
$5.2M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Dissecting the Multivariate Genetic Architecture of Psychiatric DiseasesR01MH120219 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI NIVARD, MICHEL GUILLAUME, TUCKER-DROB, ELLIOT MAX · 2020 to 2024
$3.3M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetR01AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2024 to 2025
$1.3M
NIA NIH HHS P30 AG066614NIA NIH HHS R01 AG073593NICHD NIH HHS P2C HD042849NIMH NIH HHS R01 MH120219NIMH NIH HHS U54 MH091657Wellcome Trust
6 · The paper itself

Abstract

As a cardinal marker of brain ageing, lifetime brain atrophy obtained from a cross-sectional magnetic resonance image promises to boost statistical power to uncover novel genetic mechanisms of neurodegeneration. By analysing five young and old adult cohorts, we perform the most definitive study on lifetime brain atrophy's measurement and correlates. It is simply calculated from the relationship between total brain volume and intracranial volume, using the difference, ratio, or regression-residual method. Lifetime brain atrophy is correlated with well-validated neuroradiological atrophy ratings (r = 0.37-0.44), cognitive decline (r = 0.36), frailty (r = 0.24), and longitudinally-measured atrophic changes (r = 0.36). Lifetime brain atrophy computed with the difference method yields phenotypic and genetic signal similar to baseline intracranial volume (r

Indexed as

BrainMagnetic Resonance ImagingAdultAgedAged, 80 and overAgingAtrophyCognitive DysfunctionCross-Sectional StudiesFemaleGenome-Wide Association StudyHumansMaleMiddle AgedNeurodegenerative DiseasesOrgan Size

Identifiers

PMID40691153
PMCPMC12280159

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.