Roy, Joy
(2025)
Network Analysis of Multimodal MRI to Identify Regional Associations with Neurodevelopmental Outcomes in Children with Congenital Heart Disease.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
This research addresses the critical relationship between Congenital Heart Disease (CHD) and neurodevelopment, recognizing the heightened risk of neurocognitive deficits and psychiatric disorders among CHD patients. To uncover the intricate connection between CHD and these conditions, this study harnesses the potential of brain network models derived from brain MRI data. By applying Functional Connectivity Networks (FCNs) and Morphometric Similarity Networks (MSNs), this research aims to investigate the differences between the brains of individuals with CHD and those without, with the potential to identify relationships with clinical outcomes.
Additionally, this work introduces an innovative automated tool for MSN development, addressing the significant challenges posed by the labor-intensive nature of MSN construction and the need for substantial domain expertise to get started. By overcoming the limitations of lab-specific customizations and the lack of standardized code-sharing practices, this tool streamlines the complex process of MSN creation. It reduces the barrier to entry for researchers while enabling the exploration of previously unexamined network parameters and configurations, fostering broader accessibility and collaboration in the field.
The methods and insights developed in this work provide a robust framework for investigating structural and functional brain differences in CHD patients. The findings offer valuable insights into the neurological development of individuals with CHD and support the generation of new hypotheses. Furthermore, the tools and findings from this research aim to serve the neuroimaging community by standardizing and expediting the generation of brain network models, enhancing replicability, and improving our understanding of their capabilities and limitations.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
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| ETD Committee: |
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| Date: |
24 February 2025 |
| Date Type: |
Publication |
| Defense Date: |
13 December 2024 |
| Approval Date: |
24 February 2025 |
| Submission Date: |
19 December 2024 |
| Access Restriction: |
1 year -- Restrict access to University of Pittsburgh for a period of 1 year. |
| Number of Pages: |
140 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Medicine > Biomedical Informatics |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
congenital heart disease, neuroimaging, magnetic resonance imaging, brain networks, graph analysis, biomedical informatics |
| Date Deposited: |
24 Feb 2025 16:52 |
| Last Modified: |
24 Feb 2025 16:52 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/47300 |
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