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The properties of a network are derived from the adjacency matrix describing a connectivity pattern obtained by one of the available functional connectivity methods. However, no common procedure is currently applied for extracting the adjacency matrix from a connectivity pattern. To understand how the topographical properties of a network inferred by means of graph indices can be affected by this procedure, we compared one of the methods extensively used in Neuroscience applications (i.e. fixing the edge density) with an approach based on the statistical validation of achieved connectivity patterns. The comparison was performed on the basis of simulated data and of signals acquired on a polystyrene head used as a phantom. The results showed (i) the importance of the assessing process in discarding the occurrence of spurious links and in the definition of the real topographical properties of the network, and (ii) a dependence of the small world properties obtained for the phantom networks from the spatial correlation of the neighboring electrodes.<\/jats:p>","DOI":"10.1155\/2012\/130985","type":"journal-article","created":{"date-parts":[[2012,8,7]],"date-time":"2012-08-07T13:35:27Z","timestamp":1344346527000},"page":"1-13","source":"Crossref","is-referenced-by-count":57,"title":["How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network"],"prefix":"10.1155","volume":"2012","author":[{"given":"J.","family":"Toppi","sequence":"first","affiliation":[{"name":"Department of Computer, Control, and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy"},{"name":"Neuroelectrical Imaging and BCI Laboratory, Fondazione Santa Lucia Hospital, 00179 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"De Vico Fallani","sequence":"additional","affiliation":[{"name":"Neuroelectrical Imaging and BCI Laboratory, Fondazione Santa Lucia Hospital, 00179 Rome, Italy"},{"name":"Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Vecchiato","sequence":"additional","affiliation":[{"name":"Neuroelectrical Imaging and BCI Laboratory, Fondazione Santa Lucia Hospital, 00179 Rome, Italy"},{"name":"Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. 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