The periaqueductal grey (PAG) is a brainstem nucleus involved in storage and voiding of urine. We developed a novel method for creating dynamic response profiles for PAG, which requires three resting state ultra-high resolution fMRI datasets to be acquired: the first when the participant has an empty bladder, the second during filling of the bladder while subjective bladder sensations are recorded, and the third with a full bladder. PAG is functionally parcellated based on the full bladder scan, after which functional connectivity between the clusters is assessed for different states of bladder sensation.
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