A structure-dynamic approach to cortical organization: Number of paths and accessibility
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2009
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Resumo |
A structure-dynamic approach to cortical systems is reported which is based on the number of paths and the accessibility of each node. The latter measurement is obtained by performing self-avoiding random walks in the respective networks, so as to simulate dynamics, and then calculating the entropies of the transition probabilities for walks starting from each node. Cortical networks of three species, namely cat, macaque and humans, are studied considering structural and dynamical aspects. It is verified that the human cortical network presents the highest accessibility and number of paths (in terms of z-scores). The correlation between the number of paths and accessibility is also investigated as a mean to quantify the level of independence between paths connecting pairs of nodes in cortical networks. By comparing the cortical networks of cat, macaque and humans, it is verified that the human cortical network tends to present the largest number of independent paths of length larger than four. These results suggest that the human cortical network is potentially the most resilient to brain injures. (C) 2009 Elsevier B.V. All rights reserved. CNPq[301303/06-1] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CNPq[573583/2008-0] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) FAPESP[05/00587-5] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP[07/50633-9] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) |
Identificador |
JOURNAL OF NEUROSCIENCE METHODS, v.183, n.1, p.57-62, 2009 0165-0270 http://producao.usp.br/handle/BDPI/29668 10.1016/j.jneumeth.2009.06.038 |
Idioma(s) |
eng |
Publicador |
ELSEVIER SCIENCE BV |
Relação |
Journal of Neuroscience Methods |
Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
Palavras-Chave | #Cortical networks #Complex networks #Brain networks #Random walks #COMPLEX BRAIN NETWORKS #CEREBRAL-CORTEX #SMALL-WORLD #CONNECTIVITY #SYSTEM #CAT #Biochemical Research Methods #Neurosciences |
Tipo |
article original article publishedVersion |