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Published on: July 5, 2021
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.
Objective:
MRI measures of network integrity may be useful disease markers in cerebral small vessel disease (SVD). We compared the sensitivity and reproducibility of MRI derived structural and functional network measures in healthy controls and SVD subjects.
Methods:
Diffusion tractography and resting state fMRI were used to create connectivity matrices from 26 subjects with symptomatic MRI confirmed lacunar stroke and 19 controls. Matrices were constructed at multiple scales based on a multi-resolution cortical atlas and at multiple thresholds for the matrix density. Network parameters were calculated over the multiple resolutions and thresholds. In addition the reproducibility of structural and functional network parameters was determined in a subset of the subjects (15 SVD, 10 controls) who were scanned twice.
Results:
Structural networks showed a highly significant loss of network integrity in SVD cases compared to controls, for all network measures. In contrast functional networks showed no difference between SVD and controls. Structural network measures were highly reproducible in both cases and controls, with ICC values consistently over 0.8. In contrast functional network measures showed much poorer reproducibility with ICC values in the range 0.4-0.6 overall, and even lower in SVD cases.
Conclusions:
Structural networks identify impaired network integrity, and are highly reproducible, in SVD, supporting their use as markers of SVD disease severity. In contrast, functional networks showed low reproducibility, particularly in SVD cases, and were unable to detect differences between SVD cases and controls with this sample size.
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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