Human seizures self-terminate across spatial scales via a critical transition
- 4 December 2012
- journal article
- Published by Proceedings of the National Academy of Sciences in Proceedings of the National Academy of Sciences of the United States of America
- Vol. 109 (51), 21116-21121
- https://doi.org/10.1073/pnas.1210047110
Abstract
Why seizures spontaneously terminate remains an unanswered fundamental question of epileptology. Here we present evidence that seizures self-terminate via a discontinuous critical transition or bifurcation. We show that human brain electrical activity at various spatial scales exhibits common dynamical signatures of an impending critical transition--slowing, increased correlation, and flickering--in the approach to seizure termination. In contrast, prolonged seizures (status epilepticus) repeatedly approach, but do not cross, the critical transition. To support these results, we implement a computational model that demonstrates that alternative stable attractors, representing the ictal and postictal states, emulate the observed dynamics. These results suggest that self-terminating seizures end through a common dynamical mechanism. This description constrains the specific biophysical mechanisms underlying seizure termination, suggests a dynamical understanding of status epilepticus, and demonstrates an accessible system for studying critical transitions in nature.Keywords
This publication has 51 references indexed in Scilit:
- Ionic Dynamics Mediate Spontaneous Termination of Seizures and Postictal Depression StateJournal of Neuroscience, 2011
- Single-neuron dynamics in human focal epilepsyNature Neuroscience, 2011
- Early warning signals of extinction in deteriorating environmentsNature, 2010
- Dynamics of epileptic seizures: Evolution, spreading, and suppressionJournal of Theoretical Biology, 2009
- How do seizures stop?Epilepsia, 2008
- Slowing down as an early warning signal for abrupt climate changeProceedings of the National Academy of Sciences of the United States of America, 2008
- The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical FieldsPLoS Computational Biology, 2008
- Computer modelling of epilepsyNature Reviews Neuroscience, 2008
- Seizure termination by acidosis depends on ASIC1aNature Neuroscience, 2008
- Tipping elements in the Earth's climate systemProceedings of the National Academy of Sciences of the United States of America, 2008