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Can Epileptic Seizures be Predicted? Evidence from Nonlinear Time Series Analysis of Brain Electrical Activity
Abstract
We evaluate the capability of nonlinear time series analysis to extract features from brain electrical activity (EEG) predictive of epileptic seizures. Time-resolved analysis of the EEG recorded in 16 patients from within the seizure-generating area of the brain indicate marked changes in nonlinear characteristics for up to several minutes prior to seizures as compared to other states or recording sites. If interpreted as a loss of complexity in brain electrical activity these changes could reflect the hypothesized continuous increase of synchronization between pathologically discharging neurons and allow one to study seizure-generating mechanisms in humans.
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Cited by
Andrzejak, R. G., Lehnertz, K., Mormann, F., Rieke, C., David, P., & Elger, C. E. (2001) · Physical Review E · doi:10.1103/physreve.64.061907 · Cited by 3,032
Self-citationEpileptic Seizures May Begin Hours in Advance of Clinical Onset
Litt, B., Esteller, R., Echauz, J., D'Alessandro, M., Shor, R., Henry, T., Pennell, P., Epstein, C., Bakay, R., Dichter, M., et al. (2001) · Neuron · doi:10.1016/s0896-6273(01)00262-8 · Cited by 641
The organization of physiological brain networks
Stam, C. J., & van Straaten, E. C. W. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.01.011 · Cited by 567
Epileptic seizure prediction and control
Iasemidis, L. D. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.810705 · Cited by 363
Metadata
- Authors
- Lehnertz, K., & Elger, C. E.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1998-06-01
- Volume
- 80
- Issue
- 22
- Pages
- 5019-5022
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2016170482
- Cited by
- 488
- References
- 0
- FWCI
- 13.28
- Type
- journal article
- Language
- en
- Open access
- closed
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