Functional Brain Networks: beyond the small-world paradigm


Autoria(s): Martín Buldú, Javier; Papo, David; Pineda Pardo, José Ángel; Pozo Guerrero, Francisco del; Boccaletti, Stefano
Data(s)

2012

Resumo

This contribution reviews the current state of art comprising the application of Complex Networks Theory to the analysis of functional brain networks. We briefly overview the main advances in this field during the last decade and we explain how graph analysis has increased our knowledge about how the brain behaves when performing a specific task or how it fails when a certain pathology arises. We also show the limitations of this kind of analysis, which have been a source of confusion and misunderstanding when interpreting the results obtained. Finally, we discuss about a possible direction to follow in the next years.

Formato

application/pdf

Identificador

http://oa.upm.es/20613/

Idioma(s)

eng

Relação

http://oa.upm.es/20613/1/INVE_MEM_2012_143656.pdf

http://www.ifac-papersonline.net/Detailed/56261.html

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Analysis and Control of Chaotic Systems | 3rd IFAC Conference on Analysis and Control of Chaotic Systems | 20/06/2012 - 22/06/2012 | Cancún, Mexico

Palavras-Chave #Medicina #Informática
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed