ReviewEpilepsy & behavior : E&B2009
Detecting seizure origin using basic, multiscale population dynamic measures: preliminary findings.
Review in Epilepsy & behavior : E&B, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Article
- Article
- Application of approximate entropy on dynamic characteristics of epileptic absence seizure.Neural regeneration research · 2012Article
- Chemical synaptic and gap junctional interactions between principal neurons: partners in epileptogenesis.Neural networks : the official journal of the International Neural Network Society · 2011Article
- Article
- Article
- Coalescence and fragmentation of cortical networks during focal seizures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2010Article
- A nonsynaptic mechanism underlying interictal discharges in human epileptic neocortex.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- Informational lesions: optical perturbation of spike timing and neural synchrony via microbial opsin gene fusions.Frontiers in molecular neuroscience · 2009Article
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Authors and funding
9 authors.
Funding
Abstract
Many types of electrographic seizures are readily identifiable by direct visual examination of electroencephalographic or electrocorticographic recordings. This process can, however, be painstakingly slow, and much effort has been expended to automate the process using various dynamic properties of epileptiform waveforms. As methods have become more subtle and powerful they have been used for seizure subclassification, seizure prediction, and seizure onset identification and localization. Here we concentrate on the last, with reference to seizures of neocortical origin. We briefly review some of the methods used and introduce preliminary results from a very simple dynamic model based on key electrophysiological properties found in some seizure types: occurrence of very fast oscillations (sometimes called ripples), excess gamma frequency oscillations, electroencephalographic/electrocorticographic flattening, and changes in global synchrony. We show how this multiscale analysis may reveal features unique to seizure onset and speculate on the underlying cellular and network phenomena responsible.
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Registered trials
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