| dc.rights.license | open | en_US |
| dc.contributor.author | COUVY-DUCHESNE, Baptiste | |
| dc.contributor.author | FROUIN, Vincent | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | BOUTELOUP, Vincent | |
| dc.contributor.author | KOUSSIS, Nikitas | |
| dc.contributor.author | SIDORENKO, Julia | |
| dc.contributor.author | JIANG, Jiyang | |
| dc.contributor.author | WINK, Alle Meije | |
| dc.contributor.author | LORENZINI, Luigi | |
| dc.contributor.author | BARKHOF, Frederik | |
| dc.contributor.author | TROLLOR, Julian N | |
| dc.contributor.author | MANGIN, Jean-Francois | |
| dc.contributor.author | SACHDEV, Perminder S | |
| dc.contributor.author | BRODATY, Henry | |
| dc.contributor.author | LUPTON, Michelle K | |
| dc.contributor.author | BREAKSPEAR, Michael | |
| dc.contributor.author | COLLIOT, Olivier | |
| dc.contributor.author | VISSCHER, Peter M | |
| dc.contributor.author | WRAY, Naomi R | |
| dc.contributor.author | ALZHEIMER'S DISEASE NEUROIMAGING, Initiative | |
| dc.contributor.author | AUSTRALIAN IMAGING, Biomarkers | |
| dc.contributor.author | LIFESTYLE FLAGSHIP STUDY OF, Ageing | |
| dc.contributor.author | ALZHEIMER'S DISEASE REPOSITORY WITHOUT BORDERS, Investigators | |
| dc.contributor.author | GROUP, Memento Cohort Study | |
| dc.date.accessioned | 2025-04-14T11:27:08Z | |
| dc.date.available | 2025-04-14T11:27:08Z | |
| dc.date.issued | 2025-02-01 | |
| dc.identifier.issn | 1097-0193 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/206181 | |
| dc.description.abstractEn | 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. | |
| dc.description.sponsorship | PaRis Artificial Intelligence Research InstitutE - ANR-19-P3IA-0001 | en_US |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution-NonCommercial 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/us/ | * |
| dc.title.en | Grey-Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta-Analysis Across 11 Cohorts | |
| dc.title.alternative | Hum Brain Mapp | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1002/hbm.70089 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| dc.identifier.pubmed | 39907291 | en_US |
| bordeaux.journal | Human Brain Mapping | en_US |
| bordeaux.page | e70089 | en_US |
| bordeaux.volume | 46 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.issue | 2 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.team | PHARES_BPH | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.identifier.funderID | Sylvia and Charles Viertel Charitable Foundation | en_US |
| bordeaux.identifier.funderID | Australian Research Council | en_US |
| bordeaux.identifier.funderID | Horizon 2020 | en_US |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | false | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Human%20Brain%20Mapping&rft.date=2025-02-01&rft.volume=46&rft.issue=2&rft.spage=e70089&rft.epage=e70089&rft.eissn=1097-0193&rft.issn=1097-0193&rft.au=COUVY-DUCHESNE,%20Baptiste&FROUIN,%20Vincent&BOUTELOUP,%20Vincent&KOUSSIS,%20Nikitas&SIDORENKO,%20Julia&rft.genre=article | |
