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dc.contributor.author | Coupé, Pierrick | es_ES |
dc.contributor.author | Catheline, Gwenaelle | es_ES |
dc.contributor.author | Lanuza, Enrique | es_ES |
dc.contributor.author | Manjón Herrera, José Vicente | es_ES |
dc.date.accessioned | 2020-10-06T03:31:57Z | |
dc.date.available | 2020-10-06T03:31:57Z | |
dc.date.issued | 2017-11 | es_ES |
dc.identifier.issn | 1065-9471 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/151162 | |
dc.description | "This is the peer reviewed version of the following article: Coupé, Pierrick, Gwenaelle Catheline, Enrique Lanuza, and José Vicente Manjón. 2017. Towards a Unified Analysis of Brain Maturation and Aging across the Entire Lifespan: A MRI Analysis. Human Brain Mapping 38 (11). Wiley: 5501 18. doi:10.1002/hbm.23743, which has been published in final form at https://doi.org/10.1002/hbm.23743. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving." | es_ES |
dc.description.abstract | [EN] There is no consensus in literature about lifespan brain maturation and senescence, mainly because previous lifespan studies have been performed on restricted age periods and/or with a limited number of scans, making results instable and their comparison very difficult. Moreover, the use of nonharmonized tools and different volumetric measurements lead to a great discrepancy in reported results. Thanks to the new paradigm of BigData sharing in neuroimaging and the last advances in image processing enabling to process baby as well as elderly scans with the same tool, new insights on brain maturation and aging can be obtained. This study presents brain volume trajectory over the entire lifespan using the largest age range to date (from few months of life to elderly) and one of the largest number of subjects (N=2,944). First, we found that white matter trajectory based on absolute and normalized volumes follows an inverted U-shape with a maturation peak around middle life. Second, we found that from 1 to 8-10 y there is an absolute gray matter (GM) increase related to body growth followed by a GM decrease. However, when normalized volumes were considered, GM continuously decreases all along the life. Finally, we found that this observation holds for almost all the considered subcortical structures except for amygdala which is rather stable and hippocampus which exhibits an inverted U-shape with a longer maturation period. By revealing the entire brain trajectory picture, a consensus can be drawn since most of the previously discussed discrepancies can be explained. Hum Brain Mapp 38:5501-5518, 2017. (C) 2017 Wiley Periodicals, Inc. | es_ES |
dc.description.sponsorship | French State (French National Research Ageny in the frame of the Investments for the future Program IdEx Bordeaux); Contract grant number: ANR-10-IDEX-03-02, HL-MRI Project; Contract grant sponsor: Cluster of excellence CPU and TRAIL (HR-DTI ANR-10-LABX-57); Contract grant sponsor: CNRS ("Defi imag'In and the dedicated volBrain support); Contract grant sponsor: Ministerio de Economia y competitividad (Spanish); Contract grant number: TIN2013-43457-R; Contract grant sponsor: National Institute of Child Health and Human Development; Contract grant number: HHSN275200900018C; Contract grant sponsors: National Institute of Child Health and Human Development, the National Institute on Drug Abuse, the National Institute of Mental Health, and the National Institute of Neurological Disorders and Stroke; Contract grant numbers: N01- HD02-3343, N01-MH9-0002, and N01-NS-9-2314, -2315, -2316, -2317, -2319 and -2320; Contract grant sponsor: National Institutes of Health; Contract grant number: U01 AG024904; Contract grant sponsor: National Institute on Aging and the National Institute of Biomedical Imaging and Bioengineering (ADNI); Contract grant sponsor: NIH; Contract grant number: P30AG010129, K01 AG030514; Contract grant sponsor: Dana Foundation; Contract grant sponsor: OASIS project (OASIS data); Contract grant numbers: P50 AG05681, P01 AG03991, R01 AG021910, P50 MH071616, U24 RR021382, R01 MH56584; Contract grant sponsor: Common-wealth Scientific Industrial Research Organization (a publicly funded government research organization); Contract grant sponsor: Science Industry Endowment Fund, National Health and Medical Research Council of Australia; Contract grant number: 1011689; Contract grant sponsors: Alzheimer's Association, Alzheimer's Drug Discovery Foundation, and an anonymous foundation; Contract grant sponsor: Human Brain Project; Contract grant number: PO1MHO52176-11 (ICBM, P.I. Dr John Mazziotta); Contract grant sponsor: Canadian Institutes of Health Research; Contract grant number: MOP-34996; Contract grant sponsor: U.K. Engineering and Physical Sciences Research Council (EPSRC); Contract grant number: GR/S21533/02; Contract grant sponsor: ABIDE funding resources; Contract grant sponsor: NIMH; Contract grant number: K23MH087770; Contract grant sponsor: Leon Levy Foundation; Contract grant sponsor: NIMH award to MPM; Contract grant number: R03MH096321 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | John Wiley & Sons | es_ES |
dc.relation.ispartof | Human Brain Mapping | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Aging | es_ES |
dc.subject | Maturation | es_ES |
dc.subject | Lifespan | es_ES |
dc.subject | MRI segmentation | es_ES |
dc.subject | Patch-based processing | es_ES |
dc.subject | Brain trajectory | es_ES |
dc.subject.classification | FISICA APLICADA | es_ES |
dc.title | Towards a Unified Analysis of Brain Maturation and Aging across the Entire Lifespan: A MRI Analysis | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1002/hbm.23743 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CIHR//MOP34996/CA | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Human Brain Project//PO1MHO5217611/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NHMRC/NHMRC Project Grants/1011689/AU/Neuroimaging Stream/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/ANR//ANR-10-IDEX-0003/FR/Initiative d’excellence de l’Université de Bordeaux/IDEX BORDEAUX/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/UKRI//GR%2FS21533%2F02/GB/Information eXtraction from Images (IXI)/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//U24RR021382/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//U01AG024904/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//R03MH096321/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//R01MH56584/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//R01AG021910/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//P50MH071616/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//P50AG05681/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//P30AG010129/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//P01AG03991/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01NS92320/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01NS92319/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01NS92317/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01NS92316/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01NS92315/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01NS92314/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01MH90002/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//N01HD023343/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//K23MH087770/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//K01 AG030514/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//275200900018C/US/PEDIATRIC FUNCTIONAL NEUROIMAGING RESEARCH NETWORK/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ANR//ANR-10-LABX-0057/FR/Translational Research and Advanced Imaging Laboratory/TRAIL/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2013-43457-R/ES/CARACTERIZACION DE FIRMAS BIOLOGICAS DE GLIOBLASTOMAS MEDIANTE MODELOS NO-SUPERVISADOS DE PREDICCION ESTRUCTURADA BASADOS EN BIOMARCADORES DE IMAGEN/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada | es_ES |
dc.description.bibliographicCitation | Coupé, P.; Catheline, G.; Lanuza, E.; Manjón Herrera, JV. (2017). Towards a Unified Analysis of Brain Maturation and Aging across the Entire Lifespan: A MRI Analysis. Human Brain Mapping. 38(11):5501-5518. https://doi.org/10.1002/hbm.23743 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1002/hbm.23743 | es_ES |
dc.description.upvformatpinicio | 5501 | es_ES |
dc.description.upvformatpfin | 5518 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 38 | es_ES |
dc.description.issue | 11 | es_ES |
dc.identifier.pmid | 28737295 | es_ES |
dc.identifier.pmcid | PMC6866824 | es_ES |
dc.relation.pasarela | S\355210 | es_ES |
dc.contributor.funder | Dana Foundation | es_ES |
dc.contributor.funder | UK Research and Innovation | es_ES |
dc.contributor.funder | Human Brain Project | es_ES |
dc.contributor.funder | Leon Levy Foundation | es_ES |
dc.contributor.funder | Alzheimer's Australia | es_ES |
dc.contributor.funder | National Institute on Aging, EEUU | es_ES |
dc.contributor.funder | National Institutes of Health, EEUU | es_ES |
dc.contributor.funder | Alzheimer's Drug Discovery Foundation | es_ES |
dc.contributor.funder | Canadian Institutes of Health Research | es_ES |
dc.contributor.funder | National Institute on Drug Abuse, EEUU | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Agence Nationale de la Recherche, Francia | es_ES |
dc.contributor.funder | National Institute of Mental Health, EEUU | es_ES |
dc.contributor.funder | Centre National de la Recherche Scientifique, Francia | es_ES |
dc.contributor.funder | National Health and Medical Research Council, Australia | es_ES |
dc.contributor.funder | Commonwealth Scientific and Industrial Research Organisation | es_ES |
dc.contributor.funder | National Institute of Neurological Disorders and Stroke, EEUU | es_ES |
dc.contributor.funder | National Institute of Child Health and Human Development, EEUU | es_ES |
dc.contributor.funder | Engineering and Physical Sciences Research Council, Reino Unido | es_ES |
dc.contributor.funder | National Institute of Biomedical Imaging and Bioengineering, EEUU | es_ES |
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