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The cumulative effect of small vessel disease lesions is reflected in structural brain networks of memory clinic patients. | LitMetric

The cumulative effect of small vessel disease lesions is reflected in structural brain networks of memory clinic patients.

Neuroimage Clin

Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.

Published: January 2019

AI Article Synopsis

  • This study investigates how cognitive impairment in patients with small vessel disease (SVD) is connected to the cumulative effect of SVD-related brain lesions on brain connectivity.
  • Researchers analyzed MRI scans and neuropsychological tests from 173 memory clinic patients to assess the relationship between SVD burden, brain network efficiency, and cognitive performance.
  • Results indicate that higher SVD burden correlates with reduced global brain network efficiency, which in turn affects cognitive functions like information processing speed and attention, highlighting the importance of network efficiency as a potential marker for evaluating SVD-related brain injury.

Article Abstract

Background And Purpose: Mechanisms underlying cognitive impairment in patients with small vessel disease (SVD) are still unknown. We hypothesized that cognition is affected by the cumulative effect of multiple SVD-related lesions on brain connectivity. We therefore assessed the relationship between the total SVD burden on MRI, global brain network efficiency, and cognition in memory clinic patients with vascular brain injury.

Methods: 173 patients from the memory clinic of the University Medical Center Utrecht underwent a 3 T brain MRI scan (including diffusion MRI sequences) and neuropsychological testing. MRI markers for SVD were rated and compiled in a previously developed total SVD score. Structural brain networks were reconstructed using fiber tractography followed by graph theoretical analysis. The relationship between total SVD burden score, global network efficiency and cognition was assessed using multiple linear regression analyses.

Results: Each point increase on the SVD burden score was associated with 0.260 [-0.404 - -0.117] SD units decrease of global brain network efficiency ( < .001). Global network efficiency was associated with information processing speed (standardized B = -0.210,  = .004) and attention and executive functioning (B = 0.164,  .042), and mediated the relationship between SVD burden and information processing speed ( = .027) but not with executive functioning ( = .12).

Conclusion: Global network efficiency is sensitive to the cumulative effect of multiple manifestations of SVD on brain connectivity. Global network efficiency may therefore serve as a useful marker for functionally relevant SVD-related brain injury in clinical trials.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039838PMC
http://dx.doi.org/10.1016/j.nicl.2018.06.025DOI Listing

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