Abstract #2068

A T1 and DTI fused 3D Corpus Callosum analysis in MCI subjects with high and low cardiovascular risk profile

Yi Lao^1,2, Binh Nguyen², Sinchai Tsao², Niharika Gajawelli^1,2, Meng Law^1,3, Helena Chui^1,3, Yalin Wang⁴, and Natasha Lepore^1,2

¹Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, ²Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, ³Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ⁴School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Temple, AZ, United States

Understanding how vascular disease and its risk factors influence Alzheimer's disease (AD) progression may enhance predictive accuracy as well as guide early interventions. Here, we apply a novel T1 and DTI fusion analysis on the 3D corpus callosum (CC) of mild cognitive impairment (MCI) populations with different levels of cardiovascular risk, with the aim of decoupling vascular factors in the prodromal AD stage. Our new fusion method detected significant differences in the anterior CC between MCI subjects with high and low vascular risk profiles. These findings may help to elucidate the interdependent relationship between MCI and vascular risk factors.

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