Nonlinear EEG analysis and its potential role in epileptology

被引:66
作者
Elger, CE
Widman, G
Andrzejak, R
Arnhold, J
David, P
Lehnertz, K
机构
[1] Univ Bonn, Med Ctr, Dept Epileptol, D-53105 Bonn, Germany
[2] Forschungszentrum Julich, John Von Neumann Inst Comp, Bonn, Germany
[3] Univ Bonn, Inst Radiat & Nucl Phys, D-5300 Bonn, Germany
关键词
epilepsy; nonlinear time series analysis; electrocorticography; stereoelectroencephalography;
D O I
10.1111/j.1528-1157.2000.tb01532.x
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:S34 / S38
页数:5
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