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Abstract #2068

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

Yi Lao1,2, Binh Nguyen2, Sinchai Tsao2, Niharika Gajawelli1,2, Meng Law1,3, Helena Chui1,3, Yalin Wang4, and Natasha Lepore1,2

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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