The epilepsies: Complex challenges needing complex solutions
Abstract 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...
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Published in: | Epilepsy & behavior Vol. 26; no. 3; pp. 212 - 228 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Elsevier Inc
01-03-2013
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Subjects: | |
Online Access: | Get full text |
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Summary: | Abstract 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. This article is part of a Special Issue entitled “The Future of Translational Epilepsy Research”. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 |
ISSN: | 1525-5050 1525-5069 |
DOI: | 10.1016/j.yebeh.2012.09.029 |