A structure-dynamic approach to cortical organization: Number of paths and accessibility


Autoria(s): RODRIGUES, Francisco A.; COSTA, Luciano da Fontoura
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2009

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

http://dx.doi.org/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