The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG
Open accessAbstract
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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Salami, M., Itami, C., Tsumoto, T., & Kimura, F. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0937380100 · Cited by 314
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Blatt, I., Peled, R., Gadoth, N., & Lavie, P. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90058-c · Cited by 127
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Self-citationThe organization of physiological brain networks
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Self-citationExplosive transitions in complex networks’ structure and dynamics: Percolation and synchronization
Boccaletti, S., Almendral, J. A., Guan, S., Leyva, I., Liu, Z., Sendiña-Nadal, I., Wang, Z., & Zou, Y. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.004 · Cited by 363
Zhu, B., Shin, U., & Shoaran, M. (2021) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2021.3112756 · Cited by 67
Metadata
- Authors
- Schindler, K., Leung, H., Elger, C. E., & Lehnertz, K.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- 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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