Abstract #5207

DTI-based Network Analysis of APP/PS1 Mouse Brains with Age and Sex

Samuel Colles Grant^1,2, David C Hike^1,2, Abdol Aziz Ould Ismail^1,2, Victor Wong¹, Scott Boebinger¹, and Tara Palin¹

¹Chemical & Biomedical Engineering, Florida State University, Tallahassee, FL, United States, ²Center for Interdisciplinary MR, National High Magnetic Field Laboratory, Tallahassee, FL, United States

This study utilizes DTI and graph theory as a novel way for identifying early pathology and connectivity changes related to Alzheimer’s Disease. As a function of phenotype, age and sex, DTI studies were performed on APP/PS1 mouse brains and age-matched wild type controls at 11.75 T. Current data shows a drop in FA and a decrease in connectivity in the temporal region of the brain. High resolution 3D images acquired at 21.1 T display the presence of amyloid plaques, which temporally correlate with the progression of structural connectivity alterations in this transgenic preclinical model.

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