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Abstract #0760

High-Resolution DTI Cortical Column Analysis for Early Detection of Alzheimer’s Disease in High-Risk Pre-Symptomatic Subjects

Devon K. Overson1,2, Trong-Kha Truong1,2,3, Yixin Ma4, David J. Madden1,5, Jeffrey R. Petrella1,2,3, and Allen W. Song1,2,3
1Brain Imaging and Analysis Center, Duke University, Durham, NC, United States, 2Medical Physics Graduate Program, Duke University, Durham, NC, United States, 3Department of Radiology, Duke University, Durham, NC, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 5Department of Psychiatry and Behavior Sciences, Duke University, Durham, NC, United States

Synopsis

Keywords: Alzheimer's Disease, Gray Matter, Microstructure, Cortical Column, APOE4

Motivation: Microstructural changes in cortical gray matter, occurring potentially well before cognitive decline in Alzheimer’s disease (AD), could serve as an early diagnosis biomarker.

Goal(s): We use high-resolution diffusion tensor imaging to identify such changes among AD subjects, cognitively normal but high-risk (APOE4+) subjects, and healthy controls (APOE4-).

Approach: The variation in fractional anisotropy along cortical columns was analyzed within 68 regions.

Results: 20 regions exhibited a lower variation in the high-risk group compared to the control group. The AD risks of individual high-risk subjects could be further differentiated based on similarities and differences with the AD or control groups.

Impact: Our cortical column-based analysis of high-resolution diffusion tensor imaging data can detect microstructural changes within specific cortical regions of pre-symptomatic subjects with high risk for Alzheimer’s disease, potentially providing a more definitive biomarker for its early diagnosis and treatment.

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