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Open Access 01-11-2015 | Original Article

A predictive model of the cat cortical connectome based on cytoarchitecture and distance

Authors: Sarah F. Beul, Simon Grant, Claus C. Hilgetag

Published in: Brain Structure and Function | Issue 6/2015

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.

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Title: A predictive model of the cat cortical connectome based on cytoarchitecture and distance
Authors: Sarah F. Beul
Simon Grant
Claus C. Hilgetag
Publication date: 01-11-2015
Publisher: Springer Berlin Heidelberg
Published in: Brain Structure and Function / Issue 6/2015
Print ISSN: 1863-2653
Electronic ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-014-0849-y

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A predictive model of the cat cortical connectome based on cytoarchitecture and distance

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