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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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Autores principales: Nicolas, Renaud, Hiba, Bassem, Dilharreguy, Bixente, Barse, Elodie, Baillet, Marion, Edde, Manon, Pelletier, Amandine, Periot, Olivier, Helmer, Catherine, Allard, Michele, Dartigues, Jean-François, Amieva, Hélène, Pérès, Karine, Fernandez, Philippe, Catheline, Gwénaëlle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456903/
https://www.ncbi.nlm.nih.gov/pubmed/32922282
http://dx.doi.org/10.3389/fnagi.2020.00218
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author Nicolas, Renaud
Hiba, Bassem
Dilharreguy, Bixente
Barse, Elodie
Baillet, Marion
Edde, Manon
Pelletier, Amandine
Periot, Olivier
Helmer, Catherine
Allard, Michele
Dartigues, Jean-François
Amieva, Hélène
Pérès, Karine
Fernandez, Philippe
Catheline, Gwénaëlle
author_facet Nicolas, Renaud
Hiba, Bassem
Dilharreguy, Bixente
Barse, Elodie
Baillet, Marion
Edde, Manon
Pelletier, Amandine
Periot, Olivier
Helmer, Catherine
Allard, Michele
Dartigues, Jean-François
Amieva, Hélène
Pérès, Karine
Fernandez, Philippe
Catheline, Gwénaëlle
author_sort Nicolas, Renaud
collection PubMed
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.
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spelling pubmed-74569032020-09-11 Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall Nicolas, Renaud Hiba, Bassem Dilharreguy, Bixente Barse, Elodie Baillet, Marion Edde, Manon Pelletier, Amandine Periot, Olivier Helmer, Catherine Allard, Michele Dartigues, Jean-François Amieva, Hélène Pérès, Karine Fernandez, Philippe Catheline, Gwénaëlle Front Aging Neurosci Neuroscience 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. Frontiers Media S.A. 2020-08-14 /pmc/articles/PMC7456903/ /pubmed/32922282 http://dx.doi.org/10.3389/fnagi.2020.00218 Text en Copyright © 2020 Nicolas, Hiba, Dilharreguy, Barse, Baillet, Edde, Pelletier, Periot, Helmer, Allard, Dartigues, Amieva, Pérès, Fernandez and Catheline. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Nicolas, Renaud
Hiba, Bassem
Dilharreguy, Bixente
Barse, Elodie
Baillet, Marion
Edde, Manon
Pelletier, Amandine
Periot, Olivier
Helmer, Catherine
Allard, Michele
Dartigues, Jean-François
Amieva, Hélène
Pérès, Karine
Fernandez, Philippe
Catheline, Gwénaëlle
Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall
title 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_short 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
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456903/
https://www.ncbi.nlm.nih.gov/pubmed/32922282
http://dx.doi.org/10.3389/fnagi.2020.00218
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