Spatially coupled functional and vascular networks
Molly G Bright 1 and Kevin Murphy 1
CUBRIC, School of Psychology, Cardiff
University, Cardiff, Cardiff, United Kingdom
Independent component analysis (ICA) can identify
network structure in resting-state fMRI data. However,
it is challenging to determine the origin of signal
fluctuations in these networks. We apply breath-hold
tasks that drive a global BOLD signal increase via the
vascular response to hypercapnia. Using ICA, we
demonstrate that neural and vascular networks can be
identified and isolated, including those that share a
similar network structure (e.g., default mode network).
Our results suggest that vascular networks may be
organised to support functional networks.
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