Document Type
Thesis
Date of Award
8-31-2020
Degree Name
Master of Science in Biomedical Engineering - (M.S.)
Department
Biomedical Engineering
First Advisor
Bharat Biswal
Second Advisor
Sergei Adamovich
Third Advisor
Xiaobo Li
Fourth Advisor
Xin Di
Abstract
Resting State Functional Magnetic Resonance Imaging (rs-fMRI) is a technique that is widely used for analyzing brain function using different approaches and methods. This study involves rs-fMRI analysis of Blood Oxygenation Level Dependent (BOLD) signals acquired from Alzheimer’s disease (AD) Patients and Healthy Controls (HC). Each subject in the study had both functional and anatomical images with at least one rs-fMRI scan with their Anatomical (T1) scans. Previous rs-fMRI studies have demonstrated that AD shows differences in Amplitude of Low Frequency (<0.1 Hz) Fluctuations (ALFF), and Regional Homogeneity (ReHo) measures according to HCs.
The aim of the study is to investigate individual and group level differences using ReHo and mALFF related measures in a longitudinal analysis. The hypothesis is that with the age and group (AD or HC) of the subject, it is possible to separate AD and HC subjects from each other using 3 different ROIs (DMN – MT – MV), These regions are known to show abnormalities in AD patients but clinical wise never been identified as neuroimaging biomarkers. This study tries to check these ROIs to see if there are significant differences between the AD patients and HCs using 3 different features.
Recommended Citation
Yilmaz, Berk Can, "Comparison of longitudinal changes in resting state functional magnetic resonance imaging between alzheimer’s and healthy controls" (2020). Theses. 1796.
https://digitalcommons.njit.edu/theses/1796
Included in
Biomedical Engineering and Bioengineering Commons, Cognitive Neuroscience Commons, Cognitive Psychology Commons, Diseases Commons, Mental and Social Health Commons, Neurosurgery Commons, Public Health Commons, Statistics and Probability Commons