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Abstract #0054

fMRI-derived functional connectivity density mapping as a biomarker of state changes as reflected by glucose metabolism

Garth John Thompson 1 , Valentin Riedl 2,3 , Timo Grimmer 3,4 , Alexander Drzezga 5 , Peter Herman 1 , and Fahmeed Hyder 1,6

1 Diagnostic Radiology, Magnetic Resonance Research Center, Yale University, New Haven, CT, United States, 2 Neuroradiology, Nuclear Medicine, Universitt Mnchen, Mnchen, Germany, 3 Technische, Universitt Mnchen - Neuroimaging Center, Mnchen, Germany, 4 Psychiatry, Universitt Mnchen, Mnchen, Germany, 5 Nuclear Medicine, Uniklinikum, Koeln, Germany, 6 Biomedical Engineering, Yale University, New Haven, CT, United States

While resting-state fMRI (R-fMRI) is a popular way to measure networks in the human brain, a lack of understanding in terms of glucose metabolism (CMR glc ) has made translation to clinical settings difficult. Simultaneous fluorodeoxyglucose PET and R-fMRI data were collected from 22 subjects with eyes open or eyes closed. Various R-fMRI quantifications were tested to match the globally higher CMR glc observed with eyes open. Functional connectivity density (FCD) without any global signal regression reflected state change similar to that observed with CMR glc data. Thus FCD may be a viable biomarker for R-fMRI in clinical settings.

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