title: A predictive model of the cat cortical connectome based on cytoarchitecture and distance.
abstract: Information processing in the brain is strongly constrained by anatomical connectivity. However, the principles governing the organization of corticocortical connections remain elusive. Here, we tested three models of relationships between the organization of cortical structure and features of connections linking 49 areas of the cat cerebral cortex. Factors taken into account were relative cytoarchitectonic differentiation ('structural model'), relative spatial position ('distance model'), or relative hierarchical position ('hierarchical model') of the areas. Cytoarchitectonic differentiation and spatial distance (themselves uncorrelated) correlated strongly with the existence of inter-areal connections, whereas no correlation was found with relative hierarchical position. Moreover, a strong correlation was observed between patterns of laminar projection origin or termination and cytoarchitectonic differentiation. Additionally, cytoarchitectonic differentiation correlated with the absolute number of corticocortical connections formed by areas, and varied characteristically between different cortical subnetworks, including a 'rich-club' module of hub areas. Thus, connections between areas of the cat cerebral cortex can, to a large part, be explained by the two independent factors of relative cytoarchitectonic differentiation and spatial distance of brain regions. As both the structural and distance model were originally formulated in the macaque monkey, their applicability in another mammalian species suggests a general principle of global cortical organization.
authors: Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany. s.beul@uke.de.
authors: Sarah F
authors: SF
authors: Beul
authors: Division of Optometry and Visual Science, Henry Wellcome Laboratories for Visual Sciences, City University London, London, EC1V 0HB, UK.
authors: Simon
authors: S
authors: Grant
authors: Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.|Department of Health Sciences, Sargent College, Boston University, Boston, MA, 02215, USA.
authors: Claus C
authors: CC
authors: Hilgetag
mesh_terms: D059925:Anatomic Landmarks; D000818:Animals; D001931:Brain Mapping / Q000379:methods; D002415:Cats / Q000033:anatomy & histology*; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000166:cytology; D003198:Computer Simulation; D063132:Connectome / Q000379:methods / Q000662:veterinary*; D008959:Models, Neurological; D013329:Structure-Activity Relationship
keywords: Anatomical tract tracing; Cerebral cortex; Connectivity; Cytoarchitecture; Neuroinformatics