Meeting Banner
Abstract #1460

Cortical Thickness Estimates to Classify Early Onset Alzheimer’s Disease versus Frontotemporal Dementia

Arun Venkataraman1, Zachary Christensen2, and Jianhui Zhong3
1Physics, University of Rochester, Rochester, NY, United States, 2Translational Biomedical Sciences, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States

Frontotemporal Dementia (FTD) and Early-Onset Alzheimer's Dementia (EOAD) can occur in the same age group and have overlapping symptoms, often complicating diagnosis. In this study, we focused on trying to understand cortical thickness as a biomarker of dementia type. More specifically, we wanted to classify EOAD vs FTD using only data from T1w MRI. We found that classification of FTD vs EOAD using FreeSurfer and ANTs cortical thickness data is highly dependent on the type of classifier used. In addition, it seems that ANTs is better suited than FreeSurfer independent of classification model.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here