Co-representation of Functional Brain Networks Is Shaped by Cortical Myeloarchitecture and Reveals Individual Behavioral Ability

Large-scale functional networks are spatially distributed in the human brain. Despite recent progress in differentiating their functional roles, how the brain navigates the spatial coordination among them and the biological relevance of this coordination is still not fully understood. Capitalizing on canonical individualized networks derived from functional MRI data, we proposed a new concept, that is, co-representation of functional brain networks, to delineate the spatial coordination among them. To further quantify the co-representation pattern, we de fi ned two indexes, that is, the co-representation speci fi city (CoRS) and intensity (CoRI), for separately measuring the extent of speci fi c and average expression of functional networks at each brain location by using the data from both sexes. We found that the identi fi ed pattern of co-representation was anchored by cortical regions with three types of cytoarchitectural classes along a sensory - fugal axis, including, at the fi rst end, primary (idiotypic) regions showing high CoRS, at the second end, heteromodal regions showing low CoRS and high CoRI, at the third end, paralimbic regions showing low CoRI. Importantly, we demonstrated the critical role of myeloarchitecture in sculpting the spatial distribution of co-representation by assessing the association with the myelin-related neuroanatomical and transcriptomic pro fi les. Furthermore, the signi fi cance of manifesting the co-representation was revealed in its prediction of individual behavioral ability. Our fi ndings indicated that the spatial coordination among functional networks was built upon an anatomically con fi gured blueprint to facilitate neural information processing, while advancing our understanding of the topographical organization of the brain the of functional networks.