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Seeking common and corresponding anatomical/functional regions across individuals via cortical parcellation has been studied for decades. Essentially, many cortical parcellation approaches are hampered by unclear cortical boundaries, individual variability, and difficulties in establishing correspondences during parcellation of multiple brains. In this paper, based on DICCCOLs, which is a map of discrete...
Mapping human brain networks has gained significant interest in the last few years, as it offers novel perspectives on the brain structure and function. However, most previous approaches were dedicated to a single resolution or scale of brain network, though the brain networks are multi-scale in nature. This paper presents a novel approach to constructing multi-scale structural brain networks from...
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