Abstract #4209
Estimating fluctuations in the rate of cerebral oxygen consumption associated with resting state networks
Tommaso Gili 1,2 and Richard G Wise 1,2
1
IRCCS Santa Lucia Foundation, Rome, Italy,
2
Cardiff
University Brain Research Imaging Centre, Cardiff,
Wales, United Kingdom
We propose a method to estimate the level of variation
of cerebral metabolic oxygen consumption associated with
a visual resting state network. This focuses on
extracting relative CBF changes associated with a
BOLD-defined visual network. The linked BOLD and CBF
variations were estimated using a Bayesian fitting of a
non-linear model of dual-echo arterial spin labeling
data. Although this relies on the BOLD signal to define
the resting state network, the estimates of CMRO2
variation derived from BOLD and CBF estimates appear
plausible at around 5%.
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