Abstract #0638

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

Phillip G.D. Ward^1,2,3, Xingwen Liang¹, Gary F Egan^1,2,3, and Sharna D Jamadar^1,2,3

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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