Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors

Publication date

2019-12-01

Authors

Lam, Bonnie Yin Ka
Leung, Kam Tat
Yiu, Brian
Zhao, Lei
Biesbroek, J. MatthijsORCID 0000-0001-7017-2148
Au, Lisa
Tang, Yumi
Wang, Kai
Fan, Yuhua
Fu, Jian Hui

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Article

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Abstract

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.

Keywords

Community subjects, Diffusion tensor imaging, Peak width of skeletonized mean diffusivity, Processing speed, Small vessel disease, Clinical Neurology, Psychiatry and Mental health, Journal Article

Citation

Lam, B Y K, Leung, K T, Yiu, B, Zhao, L, Biesbroek, J M, Au, L, Tang, Y, Wang, K, Fan, Y, Fu, J H, Xu, Q, Song, H, Tian, X, Chu, W C W, Abrigo, J, Shi, L, Ko, H, Lau, A, Duering, M, Wong, A & Mok, V C T 2019, 'Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors', Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, vol. 11, pp. 721-729. https://doi.org/10.1016/j.dadm.2019.09.003