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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