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Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors
INTRODUCTION: Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors. METHODS: We evaluated 801 stroke- and dementia-free elde...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829102/ https://www.ncbi.nlm.nih.gov/pubmed/31700990 http://dx.doi.org/10.1016/j.dadm.2019.09.003 |
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author | Lam, Bonnie Yin Ka Leung, Kam Tat Yiu, Brian Zhao, Lei Biesbroek, J. Matthijs Au, Lisa Tang, Yumi Wang, Kai Fan, Yuhua Fu, Jian-Hui Xu, Qun Song, Haiqing Tian, Xiaolin Chu, Winnie Chiu Wing Abrigo, Jill Shi, Lin Ko, Ho Lau, Alexander Duering, Marco Wong, Adrian Mok, Vincent Chung Tong |
author_facet | Lam, Bonnie Yin Ka Leung, Kam Tat Yiu, Brian Zhao, Lei Biesbroek, J. Matthijs Au, Lisa Tang, Yumi Wang, Kai Fan, Yuhua Fu, Jian-Hui Xu, Qun Song, Haiqing Tian, Xiaolin Chu, Winnie Chiu Wing Abrigo, Jill Shi, Lin Ko, Ho Lau, Alexander Duering, Marco Wong, Adrian Mok, Vincent Chung Tong |
author_sort | Lam, Bonnie Yin Ka |
collection | PubMed |
description | INTRODUCTION: Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors. METHODS: We evaluated 801 stroke- and dementia-free elderlies with baseline and 3-year follow-up assessments. Regression analyses were used to assess the association between age-related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age-related cognitive outcomes. RESULTS: PSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3-year follow-up. The association between vascular risk factors and age-related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers. DISCUSSION: PSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age-related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age-related cognitive alterations. |
format | Online Article Text |
id | pubmed-6829102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68291022019-11-07 Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors Lam, Bonnie Yin Ka Leung, Kam Tat Yiu, Brian Zhao, Lei Biesbroek, J. Matthijs Au, Lisa Tang, Yumi Wang, Kai Fan, Yuhua Fu, Jian-Hui Xu, Qun Song, Haiqing Tian, Xiaolin Chu, Winnie Chiu Wing Abrigo, Jill Shi, Lin Ko, Ho Lau, Alexander Duering, Marco Wong, Adrian Mok, Vincent Chung Tong Alzheimers Dement (Amst) Neuroimaging INTRODUCTION: Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors. METHODS: We evaluated 801 stroke- and dementia-free elderlies with baseline and 3-year follow-up assessments. Regression analyses were used to assess the association between age-related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age-related cognitive outcomes. RESULTS: PSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3-year follow-up. The association between vascular risk factors and age-related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers. DISCUSSION: PSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age-related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age-related cognitive alterations. Elsevier 2019-10-25 /pmc/articles/PMC6829102/ /pubmed/31700990 http://dx.doi.org/10.1016/j.dadm.2019.09.003 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Neuroimaging Lam, Bonnie Yin Ka Leung, Kam Tat Yiu, Brian Zhao, Lei Biesbroek, J. Matthijs Au, Lisa Tang, Yumi Wang, Kai Fan, Yuhua Fu, Jian-Hui Xu, Qun Song, Haiqing Tian, Xiaolin Chu, Winnie Chiu Wing Abrigo, Jill Shi, Lin Ko, Ho Lau, Alexander Duering, Marco Wong, Adrian Mok, Vincent Chung Tong Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
title | Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
title_full | Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
title_fullStr | Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
title_full_unstemmed | Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
title_short | Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
title_sort | peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
topic | Neuroimaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829102/ https://www.ncbi.nlm.nih.gov/pubmed/31700990 http://dx.doi.org/10.1016/j.dadm.2019.09.003 |
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