4.7 Article

Small vessel disease is linked to disrupted structural network covariance in Alzheimer's disease

Journal

ALZHEIMERS & DEMENTIA
Volume 13, Issue 7, Pages 749-760

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jalz.2016.12.007

Keywords

Alzheimer's disease; Small vessel disease; White matter hyperintensity; Hippocampal volume; Magnetic resonance imaging; Structural covariance networks; Cortical thickness; Rich-Club network; Shape analysis; Partial least squares

Funding

  1. Canadian Institutes of Health Research Fredrick Banting and Charles Best Canada
  2. McLaughlin Centre Scholarship, University of Toronto
  3. Department of Medicine at Sunnybrook HSC
  4. Sunnybrook Research Institute
  5. Departments of Medicine at Sunnybrook
  6. Sunnybrook Foundation
  7. Canadian Partnership for Stroke Recovery
  8. LC Campbell Cognitive Neurology Research Unit
  9. CIHR
  10. Ontario Brain Institute
  11. Canadian Institutes of Health Research [MOP-13129]

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Introduction: Cerebral small vessel disease (SVD) is thought to contribute to Alzheimer's diseas (AD) through abnormalities in white matter networks. Gray matter (GM) hub covariance networks share only partial overlap with white matter connectivity, and their relationship with SVD has not been examined in AD. Methods: We developed a multivariate analytical pipeline to elucidate the cortical GM thickness systems that covary with major network hubs and assessed whether SVD and neurodegenerative pathologic markers were associated with attenuated covariance network integrity in mild AD and normal elderly control subjects. Results: SVD burden was associated with reduced posterior cingulate corticocortical GM network integrity and subneocorticocortical hub network integrity in AD. Discussion: These findings provide evidence that SVD is linked to the selective disruption of cortical hub GM networks in AD brains and point to the need to consider GM hub covariance networks when assessing network disruption in mixed disease. (C) 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

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