Current theories hold that brain function is highly related to long-rangephysical connections through axonal bundles, namely extrinsic connectiv-ity.However, obtaining a groupwise cortical parcellation based on extrinsicconnectivity remains challenging. Current parcellation methods arecompu-tationally expensive; need tuning of several parameters or rely on ad-hocconstraints. Furthermore, none of these methods present a model for thecortical extrinsic connectivity of the cortex. To tackle these problems, wepropose a parsimonious model for the extrinsic connectivity and an efficientparceling technique based on clustering of tractograms. Our technique allowsthe creation of single subject and groupwise parcellations of the whole cortex.The parcellations obtained with our technique are in agreement with structuraland functional parcellations in the literature. In particular, the motor andsensory cortex are subdivided in agreement with the human ho-munculus ofPenfield. We illustrate this by comparing our resulting parcels with the motorstrip mapping included in the Human Connectome Project data.
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