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dc.rights.licenseopenen_US
dc.contributor.authorNICOLAS, R.
dc.contributor.authorHIBA, B.
dc.contributor.authorDILHARREGUY, B.
dc.contributor.authorBARSE, E.
dc.contributor.authorBAILLET, M.
dc.contributor.authorEDDE, M.
dc.contributor.authorPELLETIER, A.
dc.contributor.authorPERIOT, O.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHELMER, Catherine
dc.contributor.authorALLARD, M.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDARTIGUES, Jean-Francois
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorAMIEVA, Helene
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorPERES, Karine
dc.contributor.authorFERNANDEZ, P.
dc.contributor.authorCATHELINE, G.
dc.date.accessioned2021-02-08T15:06:14Z
dc.date.available2021-02-08T15:06:14Z
dc.date.issued2020
dc.identifier.issn1663-4365 (Print) 1663-4365 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/26181
dc.description.abstractEnObjective: Extensive research using water-diffusion MRI reported age-related modifications of cerebral White Matter (WM). Moreover, water-diffusion parameter modifications have been frequently associated with cognitive performances in the elderly sample, reinforcing the idea of aging inducing microstructural disconnection of the brain which in turn impacts cognition. However, only few studies really assessed over-time modifications of these parameters and their relationship with episodic memory outcome of elderly. Materials and Methods: One-hundred and thirty elderly subjects without dementia (74.1 ± 4.1 years; 47% female) were included in this study. Diffusion tensor imaging (DTI) was performed at two-time points (3.49 ± 0.68 years apart), allowing the assessment of changes in water-diffusion parameters over time using a specific longitudinal pipeline. White matter hyperintensity (WMH) burden and gray matter (GM) atrophy were also measured on FLAIR and T1-weighted sequences collected during these two MRI sessions. Free and cued verbal recall scores assessed at the last follow-up of the cohort were used as episodic memory outcome. Changes in water-diffusion parameters over time were included in serial linear regression models to predict retrieval or storage ability of elderly. Results: GM atrophy and an increase in mean diffusivity (MD) and WMH load between the two-time points were observed. The increase in MD was significantly correlated with WMH load and the different memory scores. In models accounting for the baseline cognitive score, GM atrophy, or WMH load, MD changes still significantly predict free verbal recall, and not total verbal recall, suggesting the specific association with the retrieval deficit in healthy aging. Conclusion: In elderly, microstructural WM changes are good predictors of lower free verbal recall performances. Moreover, this contribution is not only driven by WMH load increase. This last observation is in line with studies reporting early water-diffusion modification in WM tissue during aging, resulting lately in the appearance of WMH on conventional MRI.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectSEPIA
dc.subjectLEHA
dc.title.enChanges Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
dc.title.alternativeFront Aging Neuroscien_US
dc.typeArticle de revueen_US
dc.identifier.doi10.3389/fnagi.2020.00218en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed32922282en_US
bordeaux.journalFrontiers in Aging Neuroscienceen_US
bordeaux.page218en_US
bordeaux.volume12en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamSEPIAen_US
bordeaux.teamLEHA_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
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