Abstract #3328

Brain NAA Reduction is Associated with Glucose Hypometabolism in Functional Networks of Alzheimer’s Disease: A Hybrid 3D-MRSI/FDG-PET Study

Wenli Li¹, Miao Zhang², Yibo Zhao^3,4, Yudu Li^3,5, Wen Jin^3,4, Jialin Hu¹, Yaoyu Zhang¹, Danni Wang¹, Biao Li², Jun Liu⁶, Binyin Li⁶, Zhi-Pei Liang^3,4, and Yao Li¹

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ³Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁴Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁵National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁶Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China

Synopsis

Keywords: Alzheimer's Disease, Alzheimer's DiseaseFunctional network failure has been implicated in the pathophysiology of Alzheimer’s disease (AD). FDG-PET is a well-established tool to map the glucose hypometabolism during AD progression. MRSI indexes the neuronal loss/astrogliosis noninvasively, but has been limited to single-voxel/slice techniques. Using a high-resolution 3D MRSI technique, we evaluated the neurometabolic changes in brain networks and compared them with glucose hypometabolism. Decreases in NAA and increases in mI were found in all networks. NAA reduction followed similar patterns to the hypometabolism over cognitive decline. Combined 3D MRSI and atrophy biomarkers showed comparable performance to FDG-PET in predicting cognitive decline in AD patients.

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