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Apathy is associated with large-scale white matter network disruption in small vessel disease.

Tay, J; Tuladhar, AM; Hollocks, MJ; Brookes, RL; Tozer, DJ; Barrick, TR; Husain, M; de Leeuw, F-E; Markus, HS (2019) Apathy is associated with large-scale white matter network disruption in small vessel disease. Neurology, 92 (11). e1157-e1167. ISSN 1526-632X https://doi.org/10.1212/WNL.0000000000007095
SGUL Authors: Barrick, Thomas Richard

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Abstract

OBJECTIVE: To investigate whether white matter network disruption underlies the pathogenesis of apathy, but not depression, in cerebral small vessel disease (SVD). METHODS: Three hundred thirty-one patients with SVD from the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC) study completed measures of apathy and depression and underwent structural MRI. Streamlines reflecting underlying white matter fibers were reconstructed with diffusion tensor tractography. First, path analysis was used to determine whether network measures mediated associations between apathy and radiologic markers of SVD. Next, we examined differences in whole-brain network measures between participants with only apathy, only depression, and comorbid apathy and depression and a control group free of neuropsychiatric symptoms. Finally, we examined regional network differences associated with apathy. RESULTS: Path analysis demonstrated that network disruption mediated the relationship between apathy and SVD markers. Patients with apathy, compared to all other groups, were impaired on whole-brain measures of network density and efficiency. Regional network analyses in both the apathy subgroup and the entire sample revealed that apathy was associated with impaired connectivity in premotor and cingulate regions. CONCLUSIONS: Our results suggest that apathy, but not depression, is associated with white matter tract disconnection in SVD. The subnetworks delineated suggest that apathy may be driven by damage to white matter networks underlying action initiation and effort-based decision making.

Item Type: Article
Additional Information: Copyright © 2019 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: 1103 Clinical Sciences, 1109 Neurosciences, 1702 Cognitive Science, Neurology & Neurosurgery
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
12 March 2019Published
8 February 2019Published Online
6 November 2018Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
TSA PPA 2015-02Stroke Associationhttp://dx.doi.org/10.13039/501100000364
PG/13/30005British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
016 · 126 · 351Netherlands Organisation for Health Research and Developmenthttp://dx.doi.org/10.13039/501100001826
PubMed ID: 30737341
Web of Science ID: WOS:000463953200010
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/110855
Publisher's version: https://doi.org/10.1212/WNL.0000000000007095

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