Journal of Undergraduate Research
Keywords
quantitative regional atrophy dementia, clinical MRI sample, Alzheimer's disease, frontotemporal dementia
College
Physical and Mathematical Sciences
Department
Computer Science
Abstract
Introduction Psychiatrists at the University of Utah developed a regional quantitative brain atrophy map that they hoped to be able to use to find biomarkers for diagnosis of probable Alzheimer’s disease (AD) versus frontotemporal dementia (FTD). This brain atrophy map divides the brain into 20 regions and when a brain scan is taken, they measure the brain density, or atrophy, of each of the 20 regions. We used machine learning techniques with a set of mapped fMRI brain scans to find biomarkers corresponding to the map as well as developing a predictive model for the diagnosis of AD and FTD.
Recommended Citation
Sanders, Samantha and Girdaud-Carrier, Christophe
(2015)
"Validation of Quantitative Regional Atrophy Dementia Classification in a Large Clinical MRI Sample,"
Journal of Undergraduate Research: Vol. 2015:
Iss.
1, Article 197.
Available at:
https://scholarsarchive.byu.edu/jur/vol2015/iss1/197