A comparison of functional and tractography based networks in cerebral small vessel disease
| Autor: | Hugh S. Markus, D Tozer, Emmanuel Stamatakis, Andrew J. Lawrence |
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| Přispěvatelé: | Tozer, Daniel [0000-0002-0404-3214], Stamatakis, Emmanuel [0000-0001-6955-9601], Markus, Hugh [0000-0002-9794-5996], Apollo - University of Cambridge Repository |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
Lacunar stroke Cognitive Neuroscience Neuropsychological Tests lcsh:Computer applications to medicine. Medical informatics lcsh:RC346-429 03 medical and health sciences Functional connectivity 0302 clinical medicine Singular value decomposition Neural Pathways Image Processing Computer-Assisted Medicine Humans Radiology Nuclear Medicine and imaging 030212 general & internal medicine Diffusion Tractography Correlation of Data lcsh:Neurology. Diseases of the nervous system Aged Reproducibility Resting state fMRI business.industry Reproducibility of Results Regular Article Middle Aged medicine.disease Magnetic Resonance Imaging White Matter Reproducibility diffusion imaging Small vessel disease Diffusion Tensor Imaging Neurology Sample size determination Cerebral Small Vessel Diseases lcsh:R858-859.7 Network analysis Female Neurology (clinical) business 030217 neurology & neurosurgery Tractography Biomedical engineering MRI |
| Zdroj: | NeuroImage : Clinical NeuroImage: Clinical, Vol 18, Iss, Pp 425-432 (2018) |
| ISSN: | 2213-1582 |
| Popis: | 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. Highlights • Diffusion based networks are reproducible in both small vessel disease and controls. • Functional connectivity in controls is less reproducible. • Functional connectivity in small vessel disease is not reproducible. • This limits the ability of whole brain functional networks to distinguish groups. |
| Databáze: | OpenAIRE |
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