caa a22 4500 445847913 CHVBK 20180317145404.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s10548-010-0152-z doi (NATIONALLICENCE)springer-10.1007/s10548-010-0152-z Multiple Pathways Analysis of Brain Functional Networks from EEG Signals: An Application to Real Data [Elektronische Daten] [Fabrizio De Vico Fallani, Francisco Rodrigues, Luciano da Fontoura Costa, Laura Astolfi, Febo Cincotti, Donatella Mattia, Serenella Salinari, Fabio Babiloni] In the present study, we propose a theoretical graph procedure to investigate multiple pathways in brain functional networks. By taking into account all the possible paths consisting of h links between the nodes pairs of the network, we measured the global network redundancy R h as the number of parallel paths and the global network permeability P h as the probability to get connected. We used this procedure to investigate the structural and dynamical changes in the cortical networks estimated from a dataset of high-resolution EEG signals in a group of spinal cord injured (SCI) patients during the attempt of foot movement. In the light of a statistical contrast with a healthy population, the permeability index P h of the SCI networks increased significantly (P<0.01) in the Theta frequency band (3-6Hz) for distances h ranging from 2 to 4. On the contrary, no significant differences were found between the two populations for the redundancy index R h. The most significant changes in the brain functional network of SCI patients occurred mainly in the lower spectral contents. These changes were related to an improved propagation of communication between the closest cortical areas rather than to a different level of redundancy. This evidence strengthens the hypothesis of the need for a higher functional interaction among the closest ROIs as a mechanism to compensate the lack of feedback from the peripheral nerves to the sensomotor areas. Springer Science+Business Media, LLC, 2010 Cortical networks nationallicence Graph theory nationallicence Redundancy nationallicence Permeability nationallicence Spinal cord injury nationallicence De Vico Fallani Fabrizio Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut Rodrigues Francisco Departamento de Matemática Aplicada e Estatística, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Paulo, Brazil aut da Fontoura Costa Luciano Instituto de Física de São Carlos, Universidade de São Paulo, São Paulo, Brazil aut Astolfi Laura Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut Cincotti Febo Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut Mattia Donatella Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut Salinari Serenella Department of Informatica e Sistemistica, University "Sapienza”, Rome, Italy aut Babiloni Fabio Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut Brain Topography Springer US; http://www.springer-ny.com 23/4(2011-01-01), 344-354 0896-0267 23:4<344 2011 23 10548 https://doi.org/10.1007/s10548-010-0152-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10548-010-0152-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- De Vico Fallani Fabrizio Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut NATIONALLICENCE 700 1- Rodrigues Francisco Departamento de Matemática Aplicada e Estatística, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Paulo, Brazil aut NATIONALLICENCE 700 1- da Fontoura Costa Luciano Instituto de Física de São Carlos, Universidade de São Paulo, São Paulo, Brazil aut NATIONALLICENCE 700 1- Astolfi Laura Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut NATIONALLICENCE 700 1- Cincotti Febo Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut NATIONALLICENCE 700 1- Mattia Donatella Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut NATIONALLICENCE 700 1- Salinari Serenella Department of Informatica e Sistemistica, University "Sapienza”, Rome, Italy aut NATIONALLICENCE 700 1- Babiloni Fabio Laboratory of Clinical Neurophysiopathology, IRCCS "Fondazione Santa Lucia”, Via Ardeatina, 306, I-00179, Rome, Italy aut NATIONALLICENCE 773 0- Brain Topography Springer US; http://www.springer-ny.com 23/4(2011-01-01), 344-354 0896-0267 23:4<344 2011 23 10548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer