Cargando…

Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies

There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship of such factors with WM microstructure. This review summarizes the evidenc...

Descripción completa

Detalles Bibliográficos
Autores principales: Wassenaar, Thomas M., Yaffe, Kristine, van der Werf, Ysbrand D., Sexton, Claire E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683729/
https://www.ncbi.nlm.nih.gov/pubmed/31103633
http://dx.doi.org/10.1016/j.neurobiolaging.2019.04.006
_version_ 1783442143530975232
author Wassenaar, Thomas M.
Yaffe, Kristine
van der Werf, Ysbrand D.
Sexton, Claire E.
author_facet Wassenaar, Thomas M.
Yaffe, Kristine
van der Werf, Ysbrand D.
Sexton, Claire E.
author_sort Wassenaar, Thomas M.
collection PubMed
description There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship of such factors with WM microstructure. This review summarizes the evidence regarding the relationship between WM microstructure and recognized modifiable factors, including hearing loss, hypertension, diabetes, obesity, smoking, depressive symptoms, physical (in) activity, and social isolation, as well as sleep disturbances, diet, cognitive training, and meditation. Current cross-sectional evidence suggests a clear link between loss of WM integrity (lower fractional anisotropy and higher mean diffusivity) and hypertension, obesity, diabetes, and smoking; a relationship that seems to hold for hearing loss, social isolation, depressive symptoms, and sleep disturbances. Physical activity, cognitive training, diet, and meditation, on the other hand, may protect WM with aging. Preliminary evidence from cross-sectional studies of treated risk factors suggests that modification of factors could slow down negative effects on WM microstructure. Careful intervention studies are needed for this literature to contribute to public health initiatives going forward.
format Online
Article
Text
id pubmed-6683729
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-66837292019-08-12 Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies Wassenaar, Thomas M. Yaffe, Kristine van der Werf, Ysbrand D. Sexton, Claire E. Neurobiol Aging Article There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship of such factors with WM microstructure. This review summarizes the evidence regarding the relationship between WM microstructure and recognized modifiable factors, including hearing loss, hypertension, diabetes, obesity, smoking, depressive symptoms, physical (in) activity, and social isolation, as well as sleep disturbances, diet, cognitive training, and meditation. Current cross-sectional evidence suggests a clear link between loss of WM integrity (lower fractional anisotropy and higher mean diffusivity) and hypertension, obesity, diabetes, and smoking; a relationship that seems to hold for hearing loss, social isolation, depressive symptoms, and sleep disturbances. Physical activity, cognitive training, diet, and meditation, on the other hand, may protect WM with aging. Preliminary evidence from cross-sectional studies of treated risk factors suggests that modification of factors could slow down negative effects on WM microstructure. Careful intervention studies are needed for this literature to contribute to public health initiatives going forward. Elsevier 2019-08 /pmc/articles/PMC6683729/ /pubmed/31103633 http://dx.doi.org/10.1016/j.neurobiolaging.2019.04.006 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wassenaar, Thomas M.
Yaffe, Kristine
van der Werf, Ysbrand D.
Sexton, Claire E.
Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
title Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
title_full Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
title_fullStr Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
title_full_unstemmed Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
title_short Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
title_sort associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683729/
https://www.ncbi.nlm.nih.gov/pubmed/31103633
http://dx.doi.org/10.1016/j.neurobiolaging.2019.04.006
work_keys_str_mv AT wassenaarthomasm associationsbetweenmodifiableriskfactorsandwhitematteroftheagingbraininsightsfromdiffusiontensorimagingstudies
AT yaffekristine associationsbetweenmodifiableriskfactorsandwhitematteroftheagingbraininsightsfromdiffusiontensorimagingstudies
AT vanderwerfysbrandd associationsbetweenmodifiableriskfactorsandwhitematteroftheagingbraininsightsfromdiffusiontensorimagingstudies
AT sextonclairee associationsbetweenmodifiableriskfactorsandwhitematteroftheagingbraininsightsfromdiffusiontensorimagingstudies