Evidence map›Paper›PMID 39574607›Full record

ArticlebioRxiv : the preprint server for biology2024

Lifetime brain atrophy estimated from a single MRI: measurement characteristics and genome-wide correlates.

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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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, United Kingdom.ORCID 0000-0001-6590-4957
Isabelle F FooteInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA.
Charley XiaSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Gail DaviesSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Joanna MoodieSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-0404-6295
Adele TaylorSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
David C LiewaldSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Paul RedmondSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Janie CorleySchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-7551-1871
Andrew M McIntoshCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-0198-4588
Heather C WhalleyCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-4505-8869
Susana Muñoz ManiegaCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-5185-6384
Maria Valdés HernándezCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-2771-6546
Ellen BackhouseCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Karen FergusonCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Mark E BastinCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Joanna WardlawCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-9812-6642
Javier de la FuenteDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.
Andrew D GrotzingerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA.
Michelle LucianoSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-7306-3008
W David HillSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Ian J DearySchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
Elliot M Tucker-DrobDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.
Simon R CoxSchool of Philosophy, Psychology & Language Sciences, The University of Edinburgh, Edinburgh, United Kingdom.

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
Medical Research Council MR/M013111/1NIA 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

A measure of lifetime brain atrophy (LBA) obtained from a single magnetic resonance imaging (MRI) scan could be an attractive candidate to boost statistical power in uncovering novel genetic signals and mechanisms of neurodegeneration. We analysed data from five young and old adult cohorts (MRi-Share, Human Connectome Project, UK Biobank, Generation Scotland Subsample, and Lothian Birth Cohort 1936 [LBC1936]) to test the validity and utility of LBA inferred from cross-sectional MRI data, i.e., a single MRI scan per participant. LBA was simply calculated based on the relationship between total brain volume (TBV) and intracranial volume (ICV), using three computationally distinct approaches: the difference (

Identifiers

PMID39574607
PMCPMC11580880

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.