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      Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex

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          Abstract

          The laminar location of the cell bodies and terminals of interareal connections determines the hierarchical structural organization of the cortex and has been intensively studied. However, we still have only a rudimentary understanding of the connectional principles of feedforward (FF) and feedback (FB) pathways. Quantitative analysis of retrograde tracers was used to extend the notion that the laminar distribution of neurons interconnecting visual areas provides an index of hierarchical distance (percentage of supragranular labeled neurons [SLN]). We show that: 1) SLN values constrain models of cortical hierarchy, revealing previously unsuspected areal relations; 2) SLN reflects the operation of a combinatorial distance rule acting differentially on sets of connections between areas; 3) Supragranular layers contain highly segregated bottom-up and top-down streams, both of which exhibit point-to-point connectivity. This contrasts with the infragranular layers, which contain diffuse bottom-up and top-down streams; 4) Cell filling of the parent neurons of FF and FB pathways provides further evidence of compartmentalization; 5) FF pathways have higher weights, cross fewer hierarchical levels, and are less numerous than FB pathways. Taken together, the present results suggest that cortical hierarchies are built from supra- and infragranular counterstreams. This compartmentalized dual counterstream organization allows point-to-point connectivity in both bottom-up and top-down directions.

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              Identification and Classification of Hubs in Brain Networks

              Brain regions in the mammalian cerebral cortex are linked by a complex network of fiber bundles. These inter-regional networks have previously been analyzed in terms of their node degree, structural motif, path length and clustering coefficient distributions. In this paper we focus on the identification and classification of hub regions, which are thought to play pivotal roles in the coordination of information flow. We identify hubs and characterize their network contributions by examining motif fingerprints and centrality indices for all regions within the cerebral cortices of both the cat and the macaque. Motif fingerprints capture the statistics of local connection patterns, while measures of centrality identify regions that lie on many of the shortest paths between parts of the network. Within both cat and macaque networks, we find that a combination of degree, motif participation, betweenness centrality and closeness centrality allows for reliable identification of hub regions, many of which have previously been functionally classified as polysensory or multimodal. We then classify hubs as either provincial (intra-cluster) hubs or connector (inter-cluster) hubs, and proceed to show that lesioning hubs of each type from the network produces opposite effects on the small-world index. Our study presents an approach to the identification and classification of putative hub regions in brain networks on the basis of multiple network attributes and charts potential links between the structural embedding of such regions and their functional roles.
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                Author and article information

                Journal
                J Comp Neurol
                J. Comp. Neurol
                cne
                The Journal of Comparative Neurology
                BlackWell Publishing Ltd (Oxford, UK )
                0021-9967
                1096-9861
                January 2013
                26 November 2013
                : 522
                : 1
                : 225-259
                Affiliations
                [1 ]Stem Cell and Brain Research Institute INSERM U846, 69500, Bron, France
                [2 ]Université de Lyon, Université Lyon I 69003, Lyon, France
                [3 ]Department of Neurobiology, Yale University School of Medicine New Haven, Connecticut, 06520-8001, USA
                [4 ]Department of Computer Science, Weizmann Institute of Science Rehovot, 76100, Israel
                Author notes
                *Correspondence to: Henry Kennedy, Inserm U846, Stem Cell and Brain Research Institute. 18 avenue Doyen Lépine, 69500 Bron, France. E-mail: henry.kennedy@ 123456inserm.fr

                The first two authors contributed equally to this work

                Present addresses for PC: SILS, Center for NeuroScience, University of Amsterdam, NL; for AF: Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; for PB: Cerveau et Cognition, UMR 5549, Toulouse, France; for CH: Service de gyéecologie-obstétrique, hospices civils de Lyon, France; for JV: Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with the Max Planck Society, Frankfurt, Germany, for RQ: Escuela de Medicina, Departamento de Pre-clínicas, Universidad de Valparaíso, Valparaíso, Chile.

                Article
                10.1002/cne.23458
                4255240
                23983048
                60c89381-ee25-49c8-96c6-6ef1d65b456e
                Copyright © 2013 Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 October 2012
                : 10 April 2013
                : 14 August 2013
                Categories
                Research Articles

                Neurology
                neocortex,monkey,retrograde tracing,cell morphology
                Neurology
                neocortex, monkey, retrograde tracing, cell morphology

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