Evidence map›Paper›PMID 39907291›Full record

SynthesisHuman brain mapping2025

Grey-Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta-Analysis Across 11 Cohorts.

Baptiste Couvy-Duchesne, Vincent Frouin, Vincent Bouteloup, Nikitas Koussis, Julia Sidorenko, Jiyang Jiang, Alle Meije Wink, Luigi Lorenzini, Frederik Barkhof, Julian N Trollor and 12 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Disease stage-specific atrophy markers in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Article
  9. 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

22 authors.

Baptiste Couvy-DuchesneInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0002-0719-9302
Vincent FrouinCEA, CNRS, Neurospin, Baobab, Paris-Saclay University, Saclay, France.
Vincent BouteloupUniv. Bordeaux, Inserm, Bordeaux Population Health, UMR1219, CIC 1401 EC, Pôle Santé Publique, CHU de Bordeaux, Bordeaux, France.
Nikitas KoussisSchool of Psychological Sciences, The University of Newcastle, Callaghan, New South Wales, Australia.
Julia SidorenkoInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.
Jiyang JiangCentre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-2147-6302
Alle Meije WinkDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Luigi LorenziniDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Julian N TrollorDepartment of Developmental Disability Neuropsychiatry, School of Clinical Medicine, UNSW, Sydney, New South Wales, Australia.
Jean-François ManginCEA, CNRS, Neurospin, Baobab, Paris-Saclay University, Saclay, France.
Perminder S SachdevCentre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9595-3220
Henry BrodatyCentre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
Michelle K LuptonQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Michael BreakspearSchool of Psychological Sciences, The University of Newcastle, Callaghan, New South Wales, Australia.
Olivier ColliotParis Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Sorbonne University, Paris, France.
Peter M VisscherInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.
Naomi R WrayInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.
Alzheimer's Disease Neuroimaging Initiative
Australian Imaging Biomarkers and Lifestyle flagship study of ageing
Alzheimer's Disease Repository Without Borders Investigators
MEMENTO cohort Study Group

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MONICA G. RIVERA-MINDT · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
THE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3M
DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASER01AG043434 · NIA · WASHINGTON UNIVERSITY · PI ROE, CATHERINE M · 2012 to 2016
$2.4M
Agence Nationale de la Recherche ANR-10-IAIHU-06Agence Nationale de la Recherche ANR-16-NEUC-0001-01Agence Nationale de la Recherche ANR-19-P3IA-0001Australian Research Council DP0774213Australian Research Council FL180100072Australian Research Council FT180100186European Union H2020 666992EU/ The European Federation of Pharmaceutical Industries and Associations (EFPIA) 115736Fondation Plan AlzheimerMinistero della SaluteNational Health and Medical Research Council 1024224National Health and Medical Research Council 1025243National Health and Medical Research Council 1045325National Health and Medical Research Council 1078037National Health and Medical Research Council 1078901National Health and Medical Research Council 1085606National Health and Medical Research Council 1093083National Health and Medical Research Council 1095227National Health and Medical Research Council 1107258National Health and Medical Research Council 1113400National Health and Medical Research Council 1161356National Health and Medical Research Council 350833National Health and Medical Research Council 510175National Health and Medical Research Council 568969NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG043434NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NIBIB NIH HHS R01 EB009352NIH HHS AG024904NIH HHS P01AG003991NIH HHS P01AG026276NIH HHS P30NS09857781NIH HHS P50AG00561NIH HHS R01AG043434NIH HHS R01EB009352NIH HHS UL1TR000448U.S. Department of Defense W81XWH-12-2-0012
6 · The paper itself

Abstract

Alzheimer's disease (AD) brain markers are needed to select people with early-stage AD for clinical trials and as quantitative endpoint measures in trials. Using 10 clinical cohorts (N = 9140) and the community volunteer UK Biobank (N = 37,664) we performed region of interest (ROI) and vertex-wise analyses of grey-matter structure (thickness, surface area and volume). We identified 94 trait-ROI significant associations, and 307 distinct cluster of vertex-associations, which partly overlap the ROI associations. For AD versus controls, smaller hippocampus, amygdala and of the medial temporal lobe (fusiform and parahippocampal gyri) was confirmed and the vertex-wise results provided unprecedented localisation of some of the associated region. We replicated AD associated differences in several subcortical (putamen, accumbens) and cortical regions (inferior parietal, postcentral, middle temporal, transverse temporal, inferior temporal, paracentral, superior frontal). These grey-matter regions and their relative effect sizes can help refine our understanding of the brain regions that may drive or precede the widespread brain atrophy observed in AD. An AD grey-matter score evaluated in independent cohorts was significantly associated with cognition, MCI status, AD conversion (progression from cognitively normal or MCI to AD), genetic risk, and tau concentration in individuals with none or mild cognitive impairments (AUC in 0.54-0.70, p-value < 5e-4). In addition, some of the grey-matter regions associated with cognitive impairment, progression to AD ('conversion'), and cognition/functional scores were also associated with AD, which sheds light on the grey-matter markers of disease stages, and their relationship with cognitive or functional impairment. Our multi-cohort approach provides robust and fine-grained maps the grey-matter structures associated with AD, symptoms, and progression, and calls for even larger initiatives to unveil the full complexity of grey-matter structure in AD.

Indexed as

Alzheimer DiseaseBrainCognitive DysfunctionGray MatterAgedAged, 80 and overCognitionCohort StudiesDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID39907291
PMCPMC11795582

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.