Skip to main content

Advertisement

Computational modelling of micro-seizures and focal seizure onset

Article metrics

  • 1299 Accesses

  • 3 Citations

Pathological micro-domains have been proposed to underpin the generation of local pathological activity, as seen in focal seizures in the epileptic cortex [13]. Specifically, so-called micro-seizures have been suggested to be markers for these micro-domains [2, 3]. Astonishingly, micro-seizures have also been observed in non-epileptic control patients [3]. This suggests that local activity, such as micro-seizures, only become pathological when in a specific arrangement.

We hypothesize that pathological dynamics could be due to an increased density of micro-domains. To test this, we introduce a computational model on the mesoscopic scale of a 5 × 5 mm2 cortical sheet [4]. The units are modelled as excitable minicolumns. This model also incorporates realistic connectivity schemes observed at this spatial scale [5].

The model shows occasional, non-pathological micro-seizure occurrences, as well as recruitment of normal tissue into full-blown seizure activity in the presence of dense clusters of hyperactive micro-seizure domains. A specific prediction of this model is that the transition to full-blown seizures can be prevented by using micro-incisions to separate the clusters of abnormally active micro-domains (Figure. 1) [6].

Figure 1
figure1

First column indicated the location of the pathological clusters in black and the position of the micro-incision using the labeled line. The second column shows the temporal average activity in 10000 simulation steps. The third column indicates the spatial average of the same simulation using the black line and the purple lines show the spatial average of 10 × 10 subsquares, which represent macro-columns in the model. (A) Resulting simulation after a 5 minicolumn long micro-incision. (B) Resulting simulation after a 10 minicolumn long micro-incision. (C) Resulting simulation after a 45 minicolumn long micro-incision.

References

  1. 1.

    Bragin A, Wilson CL, Engel J: Chronic epileptogenesis requires development of a network of pathologically interconnected neuron clusters: a hypothesis. Epilepsia. 2000, 41: 144-152. 10.1111/j.1528-1157.2000.tb01573.x.

  2. 2.

    Schevon CA, Ng SK, Cappell J, Goodman RR, McKhann G, Waziri A, Branner A, Sosunov A, Schroeder CE, Emerson RG: Microphysiology of Epileptiform Activity in Human Neocortex. J Clin Neurophysiol. 2008, 25: 321-330. 10.1097/WNP.0b013e31818e8010.

  3. 3.

    Stead M, Bower M, Brinkmann BH, Lee K, Marsh WR, Meyer FB, Litt B, Van Gompel J, Worrell GA: Microseizures and the spatiotemporal scales of human partial epilepsy. Brain. 2010, 133: 2789-2797. 10.1093/brain/awq190.

  4. 4.

    Wang Y, Goodfellow M, Taylor PN, Gary DJ, Baier G: Computational Modelling of Microseizures and Focal Seizure Onset. Proceedings of IWSP5. Edited by: K. Lehnertz, R. Tetzlaff, C. Elger. 2013, World Scientific

  5. 5.

    Voges N, Schüz A, Aertsen A, Rotter S: A modeler's view on the spatial structure of intrinsic horizontal connectivity in the neocortex. Prog Neurobiol. 2010, 92: 277-292. 10.1016/j.pneurobio.2010.05.001.

  6. 6.

    Wang Y, Goodfellow M, Taylor P, Garry D, Baier G: Computational modelling of microseizures and focal seizure onset. International Seizure prediction workshop proceedings. Dresden 2011 (to appear)

Download references

Author information

Correspondence to Yujiang Wang.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Wang, Y., Taylor, P.N. & Baier, G. Computational modelling of micro-seizures and focal seizure onset. BMC Neurosci 14, P14 (2013) doi:10.1186/1471-2202-14-S1-P14

Download citation

Keywords

  • Spatial Scale
  • Computational Model
  • Control Patient
  • Local Activity
  • Seizure Activity