Abstract #4518
Study of Neurometabolic Signature in Alzheimer’s Disease using High-Resolution 3D 1H-MRSI
Yaoyu Zhang1, Jialin Hu1, Miao Zhang2, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Ziyu Meng1, Danni Wang1, Wenli Li1, Biao Li2, Jun Liu5, Binyin Li5, Zhi-Pei Liang3,4, 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, 5Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Synopsis
Early and accurate diagnosis of AD is clinically important. Neurometabolic signals measured noninvasively by MRSI showed potential. Previous MRSI studies, limited to single voxel/slice techniques, could only examine neurometabolite concentration from limited brain regions. Using a high-resolution 3D MRSI technique, we assessed neurometabolic signature in AD by integrating neurometabolite concentrations from multiple brain regions. The discriminative power of global neurometabolic signature was evaluated in comparison with that of Aβ PET for both AD detection and predicting cognitive decline, showing promising results. The study provides a good foundation for further investigation using neurometabolic signature for early and accurate diagnosis of AD.
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