Spatially coupled functional and vascular networks

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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