Nonlinear EEG Analysis and Its Potential Role in Epileptology
10.1111/j.1528-1157.2000.tb01532.x
Crossref journal-article
Wiley
Epilepsia (311)
Abstract

Summary: Deterministic chaos offers a striking explanation for apparently irregular behavior of the brain that is evidenced in the EEG. Recent developments in the physical–mathematical framework of the theory of nonlinear dynamics (colloquially often termed chaos theory) provide new concepts and powerful algorithms to analyze such time series. Because of its high versatility, nonlinear time series analysis has already gone beyond the physical sciences and, at present, is being successfully applied in a variety of disciplines, including cardiology, neurology, psychiatry, and epileptology. However, it is well known that different influencing factors limit the use of nonlinear measures to characterize EEG dynamics in a strict sense. Nevertheless, when interpreted with care, relative estimates of, e.g., the correlation dimension or the Lyapunov exponents, can reliably characterize different states of normal and pathologic brain function. In epileptology, extraction of nonlinear measures from the intracranially recorded EEG promises to be important for clinical practice. In addition to an immense reduction of information content of long‐lasting EEG recordings, previous studies have shown that these measures enable (a) localization of the primary epileptogenic area in different cerebral regions during the interictal state, (b) investigations of antiepileptic drug effects, (c) analyses of spatio‐temporal interactions between the epileptogenic zone and other brain areas, and (d) detection of features predictive of imminent seizure activity. Nonlinear time series analysis provides new and supplementary information about the epileptogenic process and thus contributes to an improvement in presurgical evaluation.

Bibliography

Elger, C. E., Widman, G., Andrzejak, R., Arnhold, J., David, P., & Lehnertz, K. (2000). Nonlinear EEG Analysis and Its Potential Role in Epileptology. Epilepsia, 41(s3). Portico.

Authors 6
  1. C. E. Elger (first)
  2. G. Widman (additional)
  3. R. Andrzejak (additional)
  4. J. Arnhold (additional)
  5. P. David (additional)
  6. K. Lehnertz (additional)
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Dates
Type When
Created 20 years, 1 month ago (Aug. 3, 2005, 2:48 a.m.)
Deposited 1 year, 11 months ago (Sept. 27, 2023, 12:35 a.m.)
Indexed 5 months ago (March 30, 2025, 12:24 p.m.)
Issued 25 years, 6 months ago (March 1, 2000)
Published 25 years, 6 months ago (March 1, 2000)
Published Online 20 years, 1 month ago (Aug. 2, 2005)
Published Print 25 years, 6 months ago (March 1, 2000)
Funders 0

None

@article{Elger_2000, title={Nonlinear EEG Analysis and Its Potential Role in Epileptology}, volume={41}, ISSN={1528-1167}, url={http://dx.doi.org/10.1111/j.1528-1157.2000.tb01532.x}, DOI={10.1111/j.1528-1157.2000.tb01532.x}, number={s3}, journal={Epilepsia}, publisher={Wiley}, author={Elger, C. E. and Widman, G. and Andrzejak, R. and Arnhold, J. and David, P. and Lehnertz, K.}, year={2000}, month=mar }