{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T05:10:31Z","timestamp":1767676231129,"version":"3.41.2"},"reference-count":30,"publisher":"AIP Publishing","issue":"1","content-domain":{"domain":["pubs.aip.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,3,1]]},"abstract":"<jats:p>Sensory information entering the nervous system follows independent paths of processing such that specific features are individually detected. However, sensory perception, awareness, and cognition emerge from the combination of information. Here we have analyzed the corticocortical network of the cat, looking for the anatomical substrate which permits the simultaneous segregation and integration of information in the brain. We find that cortical communications are mainly governed by three topological factors of the underlying network: (i) a large density of connections, (ii) segregation of cortical areas into clusters, and (iii) the presence of highly connected hubs aiding the multisensory processing and integration. Statistical analysis of the shortest paths reveals that, while information is highly accessible to all cortical areas, the complexity of cortical information processing may arise from the rich and intricate alternative paths in which areas can influence each other.<\/jats:p>","DOI":"10.1063\/1.3089559","type":"journal-article","created":{"date-parts":[[2009,4,1]],"date-time":"2009-04-01T14:08:25Z","timestamp":1238594905000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":78,"title":["Graph analysis of cortical networks reveals complex anatomical communication substrate"],"prefix":"10.1063","volume":"19","author":[{"given":"Gorka","family":"Zamora-L\u00f3pez","sequence":"first","affiliation":[{"name":"University of Potsdam 1 Interdisciplinary Center for Dynamics of Complex Systems, , Potsdam, Germany"}]},{"given":"Changsong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Hong Kong Baptist University 2 Department of Physics, Centre for Nonlinear Studies, , Kowloon Tong, Hong Kong, China and The Beijing\u2013Hong Kong\u2013Singapore Joint Centre for Nonlinear and Complex Systems, , Kowloon Tong, Hong Kong, China"},{"name":"Hong Kong Baptist University 2 Department of Physics, Centre for Nonlinear Studies, , Kowloon Tong, Hong Kong, China and The Beijing\u2013Hong Kong\u2013Singapore Joint Centre for Nonlinear and Complex Systems, , Kowloon Tong, Hong Kong, China"}]},{"given":"J\u00fcrgen","family":"Kurths","sequence":"additional","affiliation":[{"name":"Potsdam Institute for Climate Impact Research 3 , Potsdam, Germany and Institute of Physics, , Berlin, Germany"},{"name":"Humboldt University 3 , Potsdam, Germany and Institute of Physics, , Berlin, Germany"}]}],"member":"317","published-online":{"date-parts":[[2009,3,31]]},"reference":[{"volume-title":"Neuroscience: Exploring the Brain","year":"2006","key":"2023073121171808800_c1"},{"volume-title":"Principles of Neural Science","year":"2000","key":"2023073121171808800_c2"},{"key":"2023073121171808800_c3","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1098\/rstb.2000.0551","volume":"355","year":"2000","journal-title":"Philos. 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