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Abstract #0638

Multimodal resting-state functional and metabolic connectivity with simultaneous MR-PET

Phillip G.D. Ward1,2,3, Xingwen Liang1, Gary F Egan1,2,3, and Sharna D Jamadar1,2,3
1Monash Biomedical Imaging, Monash University, Melbourne, Australia, 2Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia, 3Australian Research Council Centre of Excellence for Integrative Brain Function, Melbourne, Australia

Metabolic connectivity measured using FDG-PET has been proposed as a biomarker for disease, however static FDG-PET cannot provide subject-level measures of connectivity. We applied constant infusion functional FDG-fPET to measure subject-level metabolic connectivity simultaneously with BOLD-fMRI connectivity. Group-average FDG-fPET and BOLD-fMRI connectivity profiles showed similarities and differences. FDG-fPET and BOLD-fMRI connectivity was most similar in superior cortex, and least similar in subcortical regions. Group-average FDG-fPET within-subject connectivity showed little similarity with static FDG-PET connectivity. Our new method opens up the opportunity for new metabolic neuroimaging biomarkers for disease, as well as approaches for multimodality MR-PET imaging.

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