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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