From phenomenological to biophysical models of seizures
Epilepsy is a complex disease that requires various approaches for its study. This short review discusses the contribution of theoretical and computational models. The review presents theoretical frameworks that underlie the understanding of certain seizure properties and their classification based...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Neurobiology of Disease |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0969996123001456 |
| _version_ | 1797811088612392960 |
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| author | Damien Depannemaecker Aitakin Ezzati Huifang E. Wang Viktor Jirsa Christophe Bernard |
| author_facet | Damien Depannemaecker Aitakin Ezzati Huifang E. Wang Viktor Jirsa Christophe Bernard |
| author_sort | Damien Depannemaecker |
| collection | DOAJ |
| description | Epilepsy is a complex disease that requires various approaches for its study. This short review discusses the contribution of theoretical and computational models. The review presents theoretical frameworks that underlie the understanding of certain seizure properties and their classification based on their dynamical properties at the onset and offset of seizures. Dynamical system tools are valuable resources in the study of seizures. These tools can provide insights into seizure mechanisms and offer a framework for their classification, by analyzing the complex, dynamic behavior of seizures. Additionally, computational models have high potential for clinical applications, as they can be used to develop more accurate diagnostic and personalized medicine tools. We discuss various modeling approaches that span different scales and levels, while also questioning the neurocentric view, emphasizing the importance of considering glial cells. Finally, we explore the epistemic value provided by this type of approach. |
| first_indexed | 2024-03-13T07:18:29Z |
| format | Article |
| id | doaj.art-d33f5bdfb69343a39e51213fe5fe0545 |
| institution | Directory Open Access Journal |
| issn | 1095-953X |
| language | English |
| last_indexed | 2024-03-13T07:18:29Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neurobiology of Disease |
| spelling | doaj.art-d33f5bdfb69343a39e51213fe5fe05452023-06-05T04:12:29ZengElsevierNeurobiology of Disease1095-953X2023-06-01182106131From phenomenological to biophysical models of seizuresDamien Depannemaecker0Aitakin Ezzati1Huifang E. Wang2Viktor Jirsa3Christophe Bernard4Corresponding authors.; Aix Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, FranceAix Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, FranceAix Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, FranceAix Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, FranceCorresponding authors.; Aix Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, FranceEpilepsy is a complex disease that requires various approaches for its study. This short review discusses the contribution of theoretical and computational models. The review presents theoretical frameworks that underlie the understanding of certain seizure properties and their classification based on their dynamical properties at the onset and offset of seizures. Dynamical system tools are valuable resources in the study of seizures. These tools can provide insights into seizure mechanisms and offer a framework for their classification, by analyzing the complex, dynamic behavior of seizures. Additionally, computational models have high potential for clinical applications, as they can be used to develop more accurate diagnostic and personalized medicine tools. We discuss various modeling approaches that span different scales and levels, while also questioning the neurocentric view, emphasizing the importance of considering glial cells. Finally, we explore the epistemic value provided by this type of approach.http://www.sciencedirect.com/science/article/pii/S0969996123001456EpilepsySeizuresTheoretical neuroscienceComputational modelsGlial cells |
| spellingShingle | Damien Depannemaecker Aitakin Ezzati Huifang E. Wang Viktor Jirsa Christophe Bernard From phenomenological to biophysical models of seizures Neurobiology of Disease Epilepsy Seizures Theoretical neuroscience Computational models Glial cells |
| title | From phenomenological to biophysical models of seizures |
| title_full | From phenomenological to biophysical models of seizures |
| title_fullStr | From phenomenological to biophysical models of seizures |
| title_full_unstemmed | From phenomenological to biophysical models of seizures |
| title_short | From phenomenological to biophysical models of seizures |
| title_sort | from phenomenological to biophysical models of seizures |
| topic | Epilepsy Seizures Theoretical neuroscience Computational models Glial cells |
| url | http://www.sciencedirect.com/science/article/pii/S0969996123001456 |
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