Publication Date
Spring 2021
Degree Type
Master's Project
Degree Name
Master of Science in Computer Science (MSCS)
Department
Computer Science
First Advisor
Leonard Wesley
Second Advisor
Wendy Lee
Third Advisor
Alyson Rosen
Keywords
Financial Capacity, Bionformatics, Predicting Cognitive Decline
Abstract
Financial Capacity (FC) is the ability to manage one’s financial affairs, which is essential for autonomy and independence particularly for aging adults. Since dementia develops gradually, it is often difficult to detect the early signs that this cognitive dysfunction is developing This project aims to use Neurite orientation dispersion and density imaging (NODDI) to identify the white matter tracts that are associated with FC. Diffusion Tensor Images (DTI) and T1 Magnetic Resonance Images (MRI) of 18 Alzheimer’s Disease (AD) subjects, 47 Mild Cognitive Impaired (MCI) subjects, and 193 healthy control (CN) are compared to neuropsychological tests. Orientation Dispersion Index (ODI) values are derived using NODDI analysis of the DTI and MRI. This study found that the ODI values in the cingulum have the highest association with FC. In conclusion, our study suggested that the degradation of white matter and episodic memory dysfunction were most strongly associated with reduced FC.
Recommended Citation
Tai, Lok Yi, "Prediction of Financial Capacity using Diffusion Compartment Imaging" (2021). Master's Projects. 1018.
DOI: https://doi.org/10.31979/etd.w5fp-ccq6
https://scholarworks.sjsu.edu/etd_projects/1018