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Modelling the role of tissue heterogeneity in epileptic rhythms.

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Title: Modelling the role of tissue heterogeneity in epileptic rhythms.
Authors: Goodfellow, Marc (AUTHOR), Taylor, Peter Neal (AUTHOR), Wang, Yujiang (AUTHOR), Garry, Daniel James (AUTHOR), Baier, Gerold (AUTHOR)
Source: European Journal of Neuroscience. Jul2012, Vol. 36 Issue 2, p2178-2187. 10p. 4 Color Photographs, 1 Chart, 4 Graphs.
Subjects: Epilepsy, Seizures (Medicine), Computer simulation, Spatiotemporal processes, Computational neuroscience, Heterogeneity
Abstract: Epileptic seizure activity manifests as complex spatio-temporal dynamics on the clinically relevant macroscopic scale. These dynamics are known to arise from spatially heterogeneous tissue, but the relationship between specific spatial abnormalities and epileptic rhythm generation is not well understood. We formulate a simplified macroscopic modelling framework with which to study the role of spatial heterogeneity in the generation of epileptiform spatio-temporal rhythms. We characterize the overall model dynamics in terms of spontaneous activity and excitability and demonstrate normal and abnormal spreading of activity. We introduce a means to systematically investigate the topology of abnormal sub-networks and explore its impact on spontaneous and stimulus-evoked rhythmic dynamics. This computationally efficient framework complements results from detailed biophysical models, and allows the testing of specific hypotheses about epileptic dynamics on the macroscopic scale. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Modelling the role of tissue heterogeneity in epileptic rhythms.
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  Data: <searchLink fieldCode="AR" term="%22Goodfellow%2C+Marc%22">Goodfellow, Marc</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taylor%2C+Peter+Neal%22">Taylor, Peter Neal</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yujiang%22">Wang, Yujiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Garry%2C+Daniel+James%22">Garry, Daniel James</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Baier%2C+Gerold%22">Baier, Gerold</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. Jul2012, Vol. 36 Issue 2, p2178-2187. 10p. 4 Color Photographs, 1 Chart, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Epilepsy%22">Epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Seizures+%28Medicine%29%22">Seizures (Medicine)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+neuroscience%22">Computational neuroscience</searchLink><br /><searchLink fieldCode="DE" term="%22Heterogeneity%22">Heterogeneity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Epileptic seizure activity manifests as complex spatio-temporal dynamics on the clinically relevant macroscopic scale. These dynamics are known to arise from spatially heterogeneous tissue, but the relationship between specific spatial abnormalities and epileptic rhythm generation is not well understood. We formulate a simplified macroscopic modelling framework with which to study the role of spatial heterogeneity in the generation of epileptiform spatio-temporal rhythms. We characterize the overall model dynamics in terms of spontaneous activity and excitability and demonstrate normal and abnormal spreading of activity. We introduce a means to systematically investigate the topology of abnormal sub-networks and explore its impact on spontaneous and stimulus-evoked rhythmic dynamics. This computationally efficient framework complements results from detailed biophysical models, and allows the testing of specific hypotheses about epileptic dynamics on the macroscopic scale. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/j.1460-9568.2012.08093.x
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        Type: general
      – SubjectFull: Seizures (Medicine)
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      – SubjectFull: Heterogeneity
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              Text: Jul2012
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