A comparison of functional and tractography based networks in cerebral small vessel disease

Andrew J Lawrence1, Daniel J Tozer1, Emmanuel A Stamatakis2

  • 1Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.

Neuroimage. Clinical
|March 16, 2018
PubMed
Abstract

Insights

Structural MRI networks show significant loss of integrity in cerebral small vessel disease (SVD) and are reproducible. Functional networks did not differ between SVD patients and controls and showed poor reproducibility.

Area of Science:

  • Neuroimaging
  • Neurology
  • Biomedical Engineering

Background:

  • Cerebral small vessel disease (SVD) impacts brain networks.
  • Magnetic Resonance Imaging (MRI) offers potential disease markers for SVD.

Purpose of the Study:

  • To compare the sensitivity and reproducibility of structural and functional MRI-derived network measures in SVD.
  • To evaluate MRI network integrity as a potential marker for SVD disease severity.

Main Methods:

  • Used diffusion tractography and resting-state fMRI to create structural and functional connectivity matrices in 26 SVD patients and 19 controls.
  • Calculated network parameters across multiple resolutions and thresholds.
  • Assessed reproducibility in a subset of participants scanned twice.

Main Results:

  • Structural networks demonstrated significantly reduced integrity in SVD patients compared to controls across all measures.
  • Functional networks showed no significant differences between SVD patients and controls.
  • Structural network measures exhibited high reproducibility (ICC > 0.8), while functional measures showed poor reproducibility (ICC 0.4-0.6).

Conclusions:

  • Structural network integrity is impaired and highly reproducible in SVD, supporting its use as a disease severity marker.
  • Functional networks lack reproducibility, especially in SVD cases, and did not detect group differences in this study.

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