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The epilepsies: complex challenges needing complex solutions.
Tejada, Julián; Costa, Kauê M; Bertti, Poliana; Garcia-Cairasco, Norberto.
Afiliación
  • Tejada J; Department of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, Brazil.
Epilepsy Behav ; 26(3): 212-28, 2013 Mar.
Article en En | MEDLINE | ID: mdl-23146364
It is widely accepted that epilepsies are complex syndromes due to their multi-factorial origins and manifestations. Different mathematical and computational descriptions use appropriate methods to address nonlinear relationships, chaotic behaviors and emergent properties. These theoretical approaches can be divided into two major categories: descriptive, such as flowcharts, graphs and other statistical analyses, and explicative, which include both realistic and abstract models. Although these modeling tools have brought great advances, a common framework to guide their design, implementation and evaluation, with the goal of future integration, is still needed. In the current review, we discuss two examples of complexity analysis that can be performed with epilepsy data: behavioral sequences of temporal lobe seizures and alterations in an experimental cellular model. We also highlight the importance of the creation of model repositories for the epileptology field and encourage the development of mathematical descriptions of complex systems, together with more accurate simulation techniques.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducta / Epilepsia / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2013 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducta / Epilepsia / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2013 Tipo del documento: Article País de afiliación: Brasil