| dc.rights.license | open | en_US |
| dc.contributor.author | COUPE, Pierrick | |
| hal.structure.identifier | ITACA | |
| hal.structure.identifier | Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia [UPV] | |
| dc.contributor.author | MANJON, Jose V. | |
| dc.contributor.author | MANSENCAL, Boris | |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | TOURDIAS, Thomas | |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | CATHELINE, Gwenaelle | |
| hal.structure.identifier | Institut des Maladies Neurodégénératives [Bordeaux] [IMN] | |
| dc.contributor.author | PLANCHE, Vincent | |
| dc.date.accessioned | 2022-10-20T14:22:53Z | |
| dc.date.available | 2022-10-20T14:22:53Z | |
| dc.date.issued | 2022-07 | |
| dc.identifier.issn | 1097-0193 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/170092 | |
| dc.description.abstractEn | In this article, we present an innovative MRI-based method for Alzheimer disease (AD) detection and mild cognitive impairment (MCI) prognostic, using lifespan trajectories of brain structures. After a full screening of the most discriminant structures between AD and normal aging based on MRI volumetric analysis of 3,032 subjects, we propose a novel Hippocampal-Amygdalo-Ventricular Atrophy score (HAVAs) based on normative lifespan models and AD lifespan models. During a validation on three external datasets on 1,039 subjects, our approach showed very accurate detection (AUC ≥ 94%) of patients with AD compared to control subjects and accurate discrimination (AUC = 78%) between progressive MCI and stable MCI (during a 3-year follow-up). Compared to normative modeling, classical machine learning methods and recent state-of-the-art deep learning methods, our method demonstrated better classification performance. Moreover, HAVAs simplicity makes it fully understandable and thus well-suited for clinical practice or future pharmaceutical trials. | |
| dc.description.sponsorship | Apprentissage profond pour la volumétrie cérébrale : vers le BigData en neuroscience | en_US |
| dc.description.sponsorship | Translational Research and Advanced Imaging Laboratory | en_US |
| dc.description.sponsorship | Initiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003 | en_US |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject.en | Alzheimer Disease | |
| dc.subject.en | Atrophy | |
| dc.subject.en | Cognitive Dysfunction | |
| dc.subject.en | Disease Progression | |
| dc.subject.en | Hippocampus | |
| dc.subject.en | Humans | |
| dc.subject.en | Longevity | |
| dc.subject.en | Magnetic Resonance Imaging | |
| dc.title.en | Hippocampal-amygdalo-ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models. | |
| dc.title.alternative | Hum Brain Mapp | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1002/hbm.25850 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] | en_US |
| dc.identifier.pubmed | 35388950 | en_US |
| bordeaux.journal | Human Brain Mapping | en_US |
| bordeaux.page | 3270-3282 | en_US |
| bordeaux.volume | 43 | en_US |
| bordeaux.hal.laboratories | Neurocentre Magendie - UMR-S 1215 | en_US |
| bordeaux.issue | 10 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.institution | CNRS | |
| bordeaux.team | Relations glie-neurone | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.identifier.funderID | Science and Industry Endowment Fund | en_US |
| bordeaux.identifier.funderID | Canadian Institutes of Health Research | en_US |
| bordeaux.identifier.funderID | Alzheimer's Drug Discovery Foundation | en_US |
| bordeaux.identifier.funderID | Alzheimer's Association | en_US |
| bordeaux.identifier.funderID | Science and Industry Endowment Fund | en_US |
| bordeaux.identifier.funderID | Commonwealth Scientific and Industrial Research Organisation | en_US |
| bordeaux.identifier.funderID | National Institute of Biomedical Imaging and Bioengineering | en_US |
| bordeaux.identifier.funderID | National Institute on Aging | en_US |
| bordeaux.identifier.funderID | National Institute of Neurological Disorders and Stroke | en_US |
| bordeaux.identifier.funderID | National Institute of Mental Health | en_US |
| bordeaux.identifier.funderID | National Institute on Drug Abuse | en_US |
| bordeaux.identifier.funderID | National Institute of Child Health and Human Development | en_US |
| bordeaux.import.source | pubmed | |
| hal.export | false | |
| dc.rights.cc | CC BY-NC-ND | 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=2022-07&rft.volume=43&rft.issue=10&rft.spage=3270-3282&rft.epage=3270-3282&rft.eissn=1097-0193&rft.issn=1097-0193&rft.au=COUPE,%20Pierrick&MANJON,%20Jose%20V.&MANSENCAL,%20Boris&TOURDIAS,%20Thomas&CATHELINE,%20Gwenaelle&rft.genre=article | |
