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Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG

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Schindler, K., Leung, H., Elger, C. E., Lehnertz, K.·2006·Brain

Abstract

Epileptic seizures are commonly characterized as 'hypersynchronous states'. This habit is doubly misleading, because seizures are not necessarily synchronous and are not unchanging 'states' but dynamic processes. Here the temporal evolution of the correlation structure in the course of 100 focal onset seizures of 60 patients recorded by intracranial multichannel EEG was assessed. To this end a multivariate method was applied that at its core consists of computing the eigenvalue spectrum of the zero-lag correlation matrix of a short sliding window. Our results show that there are clearly observable and statistically significant changes of the correlation structure of focal onset seizures. Specifically, these changes indicate that the zero-lag correlation of multi-channel EEG either remains approximately unchanged or-especially in the case of secondary generalization-decreases during the first half of the seizures. Then correlation gradually increases again before the seizures terminate. This development was qualitatively independent of the anatomical location of the seizure onset zone and therefore seems to be a generic property of focal onset seizures. We suggest that the decorrelation of EEG activity is due to the different propagation times of locally synchronous ictal discharges from the seizure onset zone to other brain areas. Furthermore we speculate that the increase of correlation during the second half of the seizures may be causally related to seizure termination.

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Metadata

Authors
Schindler, K., Leung, H., Elger, C. E., & Lehnertz, K.
Venue
Brain
Published
2006-11-21
Volume
130
Issue
1
Pages
65-77
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2078574541
Cited by
339
References
2
FWCI
7.47
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG. https://app.cochat.ai/papers/10.1093/brain/awl304
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Schindler, K., Leung, H., Elger, C. E., & Lehnertz, K. (2006). Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG. Brain. https://doi.org/10.1093/brain/awl304

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.