Zhang, Jiaying;
(2019)
Applications of NODDI for imaging in vivo white matter pathology in neurodegenerative diseases.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
This thesis aims to evaluate: 1) the feasibility of advanced diffusion Magnetic Resonance Imaging (MRI) technique − Neurite orientation dispersion and density imaging (NODDI) for providing in vivo imaging evidence of white matter (WM) pathology at both preclinical and clinical stages of neurodegenerative diseases; 2) the added value of this advanced technique - NODDI over the standard diffusion MRI technique - Diffusion Tensor Imaging (DTI). Monitoring WM pathology is vital in coping with this challenge brought by neurodegenerative diseases as abnormal axonal transport has been identified in neurodegenerative diseases. In vivo imaging evidence using DTI suggests that patients with neurodegenerative diseases have abnormal WM microstructure compared to normal controls. Whilst sensitive, DTI metrics lack tissue specificity to biological features due to the simplicity of the model, therefore could not inform more on the disease pathology. In contrast, NODDI could provide biologically meaningful metrics that have been validated with histological measures in human neural tissue. Therefore, investigating the potential of NODDI in clinical studies of neurodegenerative diseases could greatly increase our knowledge and benefit our understanding of the disease pathology. In this thesis, we chose pre-manifest Huntington's disease and young onset Alzheimer's disease as the disease models to represent the preclinical and clinical stages respectively. We demonstrated the feasibility of NODDI in not only detecting WM abnormalities at both preclinical and clinical stages of neurodegenerative diseases but also tracking the longitudinal progression of WM microstructural deficits at the clinical stage. We also demonstrated the clinical relevance of NODDI by evaluating the correlations between the clinical assessments and NODDI metrics. Compared with DTI, we found that NODDI could provide more information on disease-specific WM pathology.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Applications of NODDI for imaging in vivo white matter pathology in neurodegenerative diseases |
| Event: | UCL (University College London) |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2019. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10069329 |
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