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dc.contributor.authorCosta, Luciano da Fen_US
dc.contributor.authorKaiser, Marcusen_US
dc.contributor.authorHilgetag, Claus Cen_US
dc.date.accessioned2012-01-11T22:26:43Z
dc.date.available2012-01-11T22:26:43Z
dc.date.copyright2007en_US
dc.date.issued2007-3-8en_US
dc.identifier.citationCosta, Luciano da F, Marcus Kaiser, Claus C Hilgetag. "Predicting the connectivity of primate cortical networks from topological and spatial node properties" BMC Systems Biology 1:16. (2007)en_US
dc.identifier.issn1752-0509en_US
dc.identifier.urihttps://hdl.handle.net/2144/3288
dc.description.abstractBACKGROUND. The organization of the connectivity between mammalian cortical areas has become a major subject of study, because of its important role in scaffolding the macroscopic aspects of animal behavior and intelligence. In this study we present a computational reconstruction approach to the problem of network organization, by considering the topological and spatial features of each area in the primate cerebral cortex as subsidy for the reconstruction of the global cortical network connectivity. Starting with all areas being disconnected, pairs of areas with similar sets of features are linked together, in an attempt to recover the original network structure. RESULTS. Inferring primate cortical connectivity from the properties of the nodes, remarkably good reconstructions of the global network organization could be obtained, with the topological features allowing slightly superior accuracy to the spatial ones. Analogous reconstruction attempts for the C. elegans neuronal network resulted in substantially poorer recovery, indicating that cortical area interconnections are relatively stronger related to the considered topological and spatial properties than neuronal projections in the nematode. CONCLUSION. The close relationship between area-based features and global connectivity may hint on developmental rules and constraints for cortical networks. Particularly, differences between the predictions from topological and spatial properties, together with the poorer recovery resulting from spatial properties, indicate that the organization of cortical networks is not entirely determined by spatial constraints.en_US
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (05/00587-5); National Council for Scientific and Technological Development (308231/03-1); Engineering and Physical Sciences Research Council (EP/E002331/1)en_US
dc.language.isoenen_US
dc.publisherBioMed Centralen_US
dc.rightsCopyright 2007 Costa et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.titlePredicting the Connectivity of Primate Cortical Networks from Topological and Spatial Node Propertiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/1752-0509-1-16en_US
dc.identifier.pmid17408506en_US
dc.identifier.pmcid1831788en_US


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Copyright 2007 Costa et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as Copyright 2007 Costa et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.