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Journal of Computational Neuroscience

, Volume 33, Issue 1, pp 41–51 | Cite as

Dynamical changes in neurons during seizures determine tonic to clonic shift

  • Bryce BeverlinII
  • James Kakalios
  • Duane Nykamp
  • Theoden Ivan NetoffEmail author
Article

Abstract

A tonic-clonic seizure transitions from high frequency asynchronous activity to low frequency coherent oscillations, yet the mechanism of transition remains unknown. We propose a shift in network synchrony due to changes in cellular response. Here we use phase-response curves (PRC) from Morris-Lecar (M-L) model neurons with synaptic depression and gradually decrease input current to cells within a network simulation. This method effectively decreases firing rates resulting in a shift to greater network synchrony illustrating a possible mechanism of the transition phenomenon. PRCs are measured from the M-L conductance based model cell with a range of input currents within the limit cycle. A large network of 3000 excitatory neurons is simulated with a network topology generated from second-order statistics which allows a range of population synchrony. The population synchrony of the oscillating cells is measured with the Kuramoto order parameter, which reveals a transition from tonic to clonic phase exhibited by our model network. The cellular response shift mechanism for the tonic-clonic seizure transition reproduces the population behavior closely when compared to EEG data.

Keywords

Seizure model PRC Tonic clonic Synchrony 

Notes

Acknowledgments

Thanks to Bard Ermentrout and Chris Warren for helpful discussions. Funding for this work provided by UMN Grant-In-Aid and NSF CAREER award.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Bryce BeverlinII
    • 1
  • James Kakalios
    • 1
  • Duane Nykamp
    • 2
  • Theoden Ivan Netoff
    • 3
    Email author
  1. 1.Department of PhysicsUniversity of MinnesotaMinneapolisUSA
  2. 2.Department of MathematicsUniversity of MinnesotaMinneapolisUSA
  3. 3.Department of Biomedical EngineeringUniversity of MinnesotaMinneapolisUSA

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