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This notion has prompted the quickly developing family of connectivity\u2010based parcellation (CBP) methods in neuroimaging research. CBP assumes that there is a latent structure of parcels in a region of interest (ROI). First, connectivity strengths are computed to other parts of the brain for each voxel\/vertex within the ROI. These features are then used to identify functionally distinct groups of ROI voxels\/vertices. CBP enjoys increasing popularity for the in\u2010vivo mapping of regional specialization in the human brain. Due to the requirements of different applications and datasets, CBP has diverged into a heterogeneous family of methods. This broad overview critically discusses the current state as well as the commonalities and idiosyncrasies of the main CBP methods. 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