Descripción
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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. | |
Internacional
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Si |
Nombre congreso
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IFAC Conference on analysis and control of chaotic systems |
Tipo de participación
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960 |
Lugar del congreso
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Cancún, Mexico |
Revisores
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Si |
ISBN o ISSN
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0000-0000 |
DOI
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Fecha inicio congreso
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04/06/2012 |
Fecha fin congreso
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08/06/2012 |
Desde la página
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0 |
Hasta la página
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0 |
Título de las actas
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BOOK OF ABSTRACTS IFAC Conference on analysis and control of chaotic systems |