Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall

Objective: 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 micros...

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Main Authors: Renaud Nicolas, Bassem Hiba, Bixente Dilharreguy, Elodie Barse, Marion Baillet, Manon Edde, Amandine Pelletier, Olivier Periot, Catherine Helmer, Michele Allard, Jean-François Dartigues, Hélène Amieva, Karine Pérès, Philippe Fernandez, Gwénaëlle Catheline
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2020.00218/full
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author Renaud Nicolas
Renaud Nicolas
Bassem Hiba
Bassem Hiba
Bixente Dilharreguy
Bixente Dilharreguy
Elodie Barse
Elodie Barse
Elodie Barse
Marion Baillet
Marion Baillet
Marion Baillet
Manon Edde
Manon Edde
Manon Edde
Amandine Pelletier
Amandine Pelletier
Amandine Pelletier
Olivier Periot
Olivier Periot
Catherine Helmer
Catherine Helmer
Michele Allard
Michele Allard
Michele Allard
Jean-François Dartigues
Jean-François Dartigues
Jean-François Dartigues
Hélène Amieva
Hélène Amieva
Karine Pérès
Karine Pérès
Philippe Fernandez
Philippe Fernandez
Philippe Fernandez
Gwénaëlle Catheline
Gwénaëlle Catheline
Gwénaëlle Catheline
spellingShingle Renaud Nicolas
Renaud Nicolas
Bassem Hiba
Bassem Hiba
Bixente Dilharreguy
Bixente Dilharreguy
Elodie Barse
Elodie Barse
Elodie Barse
Marion Baillet
Marion Baillet
Marion Baillet
Manon Edde
Manon Edde
Manon Edde
Amandine Pelletier
Amandine Pelletier
Amandine Pelletier
Olivier Periot
Olivier Periot
Catherine Helmer
Catherine Helmer
Michele Allard
Michele Allard
Michele Allard
Jean-François Dartigues
Jean-François Dartigues
Jean-François Dartigues
Hélène Amieva
Hélène Amieva
Karine Pérès
Karine Pérès
Philippe Fernandez
Philippe Fernandez
Philippe Fernandez
Gwénaëlle Catheline
Gwénaëlle Catheline
Gwénaëlle Catheline
Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
Frontiers in Aging Neuroscience
verbal recall
white matter
cognitive aging predictors
gray matter atrophy
white matter hyperintensities (WMH)
diffusion MRI imaging
author_facet Renaud Nicolas
Renaud Nicolas
Bassem Hiba
Bassem Hiba
Bixente Dilharreguy
Bixente Dilharreguy
Elodie Barse
Elodie Barse
Elodie Barse
Marion Baillet
Marion Baillet
Marion Baillet
Manon Edde
Manon Edde
Manon Edde
Amandine Pelletier
Amandine Pelletier
Amandine Pelletier
Olivier Periot
Olivier Periot
Catherine Helmer
Catherine Helmer
Michele Allard
Michele Allard
Michele Allard
Jean-François Dartigues
Jean-François Dartigues
Jean-François Dartigues
Hélène Amieva
Hélène Amieva
Karine Pérès
Karine Pérès
Philippe Fernandez
Philippe Fernandez
Philippe Fernandez
Gwénaëlle Catheline
Gwénaëlle Catheline
Gwénaëlle Catheline
author_sort Renaud Nicolas
title Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
title_short Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
title_full Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
title_fullStr Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
title_full_unstemmed Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
title_sort changes over time of diffusion mri in the white matter of aging brain, a good predictor of verbal recall
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2020-08-01
description Objective: 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.
topic verbal recall
white matter
cognitive aging predictors
gray matter atrophy
white matter hyperintensities (WMH)
diffusion MRI imaging
url https://www.frontiersin.org/article/10.3389/fnagi.2020.00218/full
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spelling doaj-3d42a9ffd5c347b7bf5ac4d899ee05432020-11-25T03:19:00ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652020-08-011210.3389/fnagi.2020.00218544338Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal RecallRenaud Nicolas0Renaud Nicolas1Bassem Hiba2Bassem Hiba3Bixente Dilharreguy4Bixente Dilharreguy5Elodie Barse6Elodie Barse7Elodie Barse8Marion Baillet9Marion Baillet10Marion Baillet11Manon Edde12Manon Edde13Manon Edde14Amandine Pelletier15Amandine Pelletier16Amandine Pelletier17Olivier Periot18Olivier Periot19Catherine Helmer20Catherine Helmer21Michele Allard22Michele Allard23Michele Allard24Jean-François Dartigues25Jean-François Dartigues26Jean-François Dartigues27Hélène Amieva28Hélène Amieva29Karine Pérès30Karine Pérès31Philippe Fernandez32Philippe Fernandez33Philippe Fernandez34Gwénaëlle Catheline35Gwénaëlle Catheline36Gwénaëlle Catheline37Université de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceLaboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceLaboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceLaboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceLaboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceUniversité de Bordeaux, ISPED, Centre INSERM U1219—Bordeaux Population Health Research Center, Bordeaux, FranceINSERM, ISPED, Centre INSERM U1219—Bordeaux Population Heath Research Center, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceService de Médecine Nucléaire, CHU de Bordeaux, Bordeaux, FranceUniversité de Bordeaux, ISPED, Centre INSERM U1219—Bordeaux Population Health Research Center, Bordeaux, FranceINSERM, ISPED, Centre INSERM U1219—Bordeaux Population Heath Research Center, Bordeaux, FranceCMRR, CHU de Bordeaux, Bordeaux, FranceUniversité de Bordeaux, ISPED, Centre INSERM U1219—Bordeaux Population Health Research Center, Bordeaux, FranceINSERM, ISPED, Centre INSERM U1219—Bordeaux Population Heath Research Center, Bordeaux, FranceUniversité de Bordeaux, ISPED, Centre INSERM U1219—Bordeaux Population Health Research Center, Bordeaux, FranceINSERM, ISPED, Centre INSERM U1219—Bordeaux Population Heath Research Center, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceService de Médecine Nucléaire, CHU de Bordeaux, Bordeaux, FranceUniversité de Bordeaux, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceCNRS, INCIA, UMR 5287—équipe NeuroImagerie et Cognition Humaine, Bordeaux, FranceLaboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, FranceObjective: 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.https://www.frontiersin.org/article/10.3389/fnagi.2020.00218/fullverbal recallwhite mattercognitive aging predictorsgray matter atrophywhite matter hyperintensities (WMH)diffusion MRI imaging