Abstract #4410

Functional alterations in white-gray matters bipartite network in preclinical Alzheimer’s disease

Lyuan Xu^1,2, Yu Zhao^1,3, Muwei Li^1,3, Kurt G. Schilling^1,3, Richard D. Lawless¹, Soyoung Choi^1,3, Baxter P. Rogers^1,3,4,5, Zhaohua Ding^1,2, Adam W. Anderson^1,3,6, Bennett A. Landman^1,2,3,4,5,6, John C. Gore^1,3,6, and Yurui Gao^1,6

¹Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, ²Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, ³Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, ⁴Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, ⁵Department of Computer Science, Vanderbilt University, Nashville, TN, United States, ⁶Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: Functional Connectivity, Alzheimer's Disease, Preclinical AD

Motivation: The significance of changes in functional connectivity (FC) measures involving white matter (WM) at preclinical stages of Alzheimer’s disease (AD) remains unclear.

Goal(s): Our goal was to reveal alterations in correlations in BOLD signals between WM and gray matter (GM) in the AD continuum, focusing on preclinical AD.

Approach: We used a novel bipartite graph model to evaluate network properties at multi-scales and compared preclinical AD, AD subjects with controls.

Results: We found declines in local specific WM-GM FC and WM FC density, without a manifest decline in global efficiency of WM-involved functional networks in the preclinical AD group.

Impact: Our observation of a decline in local WM-GM FC and WM FC density but an intact global efficiency of functional networks in preclinical AD may help explain why cognition remains normal despite the presence of pathology during the preclinical stage.

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