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Longitudinal decline in structural networks predicts dementia in cerebral small vessel disease.

Lawrence, AJ; Zeestraten, EA; Benjamin, P; Lambert, CP; Morris, RG; Barrick, TR; Markus, HS (2018) Longitudinal decline in structural networks predicts dementia in cerebral small vessel disease. Neurology, 90 (21). e1898-e1910. ISSN 1526-632X https://doi.org/10.1212/WNL.0000000000005551
SGUL Authors: Lambert, Christian Paul

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Abstract

OBJECTIVE: To determine whether longitudinal change in white matter structural network integrity predicts dementia and future cognitive decline in cerebral small vessel disease (SVD). To investigate whether network disruption has a causal role in cognitive decline and mediates the association between conventional MRI markers of SVD with both cognitive decline and dementia. METHODS: In the prospective longitudinal SCANS (St George's Cognition and Neuroimaging in Stroke) Study, 97 dementia-free individuals with symptomatic lacunar stroke were followed with annual MRI for 3 years and annual cognitive assessment for 5 years. Conversion to dementia was recorded. Structural networks were constructed from diffusion tractography using a longitudinal registration pipeline, and network global efficiency was calculated. Linear mixed-effects regression was used to assess change over time. RESULTS: Seventeen individuals (17.5%) converted to dementia, and significant decline in global cognition occurred (p = 0.0016). Structural network measures declined over the 3-year MRI follow-up, but the degree of change varied markedly between individuals. The degree of reductions in network global efficiency was associated with conversion to dementia (B = -2.35, odds ratio = 0.095, p = 0.00056). Change in network global efficiency mediated much of the association of conventional MRI markers of SVD with cognitive decline and progression to dementia. CONCLUSIONS: Network disruption has a central role in the pathogenesis of cognitive decline and dementia in SVD. It may be a useful disease marker to identify that subgroup of patients with SVD who progress to dementia.

Item Type: Article
Additional Information: Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Neurology & Neurosurgery, 1103 Clinical Sciences, 1109 Neurosciences, 1702 Cognitive Science
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Neurology
ISSN: 1526-632X
Language: eng
Dates:
DateEvent
22 May 2018Published
25 April 2018Published Online
6 March 2018Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
081589Wellcome Trusthttp://dx.doi.org/10.13039/100004440
ARUK-PG2013-2Alzheimer’s Research UKhttp://dx.doi.org/10.13039/501100002283
ARUK-EXT2015B-1Alzheimer’s Research UKhttp://dx.doi.org/10.13039/501100002283
PubMed ID: 29695593
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/109866
Publisher's version: https://doi.org/10.1212/WNL.0000000000005551

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