Testing the determinism of EEG and MEG

Mühlnickel, Werner; Rendtorff, Nicola; Kowalik, Zbigniew J.; Rockstroh, Brigitte; Miltner, Wolfgang H. R.; Elbert, Thomas

doi:10.1007/bf02691330

Cited by 10 publications

(2 citation statements)

References 12 publications

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“…A discussion arose in recent years as to which type of surrogate test should best be used (Osborne et al 1986, Osborne and Provenzale 1989, Theiler et al 1992A, Theiler et al 1992B, Kaplan and Glass 1992, Provenzale et al 1992, Kaboudan 1993, Rapp et al 1993, Muhlnickel et al 1994, Prichard and Theiler 1994, Kantz and Schreiber 1995, Theiler and Rapp 1996.…”

Section: Interpretation Of the Results Of A D 2 Analysismentioning

confidence: 99%

Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings

et al. 1997

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Pijn, J.P.; Velis, D.N.; van der Heyden, M.; de Goede, J.; van Veelen, C.W.M. General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. Signal analysis methods derived from the theory of nonlinear dynamics provide new tools to characterize the behavior of such networks, and are particularly relevant for the analysis of epileptiform activity. Methods: We calculated the correlation dimension, tested for irreversibility, and made recurrence plots of EEG signals recorded intracranially both during interictal and ictal states in temporal lobe epilepsy patients who were surgical candidates. Results: Epileptic seizure activity often, but not always, emerges as a low-dimensional oscillation. In general, the seizure behaves as a nonstationary phenomenon during which both phases of low and high complexity may occur. Nevertheless a low dimension may be found mainly in the zone of ietal onset and nearby structures. Both the zone of ictal onset and the pattern of propagation of seizure activity in the brain could be identified using this type of analysis. Furthermore, the results obtained were in close agreement with visual inspection of the EEG records. Conclusions: Application of these mathematical tools provides novel insights into the spatio-temporal dynamics of "epileptic brain states". In this way it may be of practical use in the localization of an epileptogenic region in the brain, and thus be of assistance in the presurgical evaluation of patients with localization-related epilepsy.

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Section: Interpretation Of the Results Of A D 2 Analysismentioning

confidence: 99%

Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings

et al. 1997

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“…In many clinical situations a precedence of anomalous dynamics by violence of the regulation structure of physiological parameters was shown by many authors. A quantitative analysis of an order degree of them predicts future states of physiological and neurological systems [13][14][15][16][17]. Thus the number of connections between system parameters is diminished at pathological states, and the estimate test of organism state must be representative of their dynamic interrelation.…”

Section: Discussionmentioning

confidence: 99%

Erythrocyte shape transformation in physiological regulation of blood viscosity

Katiukhin¹

2013

OJMIP

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The study was carried out to evaluate deformable and aggregative erythrocyte properties in humans under normal and pathological states and in rats exposed to various stressors. A strong correlation between the erythrocyte rheological determinants, i.e. deformability index and aggregation rate, was found under pathological and stress-induced states. The physiological significance of this phenomenon is to maintain the native structure of blood flow.

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The Determinism of MEG in Tinnitus Patients

Mühlnickel

Hoke

et al. 2000

Biomag 96

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Testing the determinism of EEG and MEG

Cited by 10 publications

References 12 publications

Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings

Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings

Erythrocyte shape transformation in physiological regulation of blood viscosity

The Determinism of MEG in Tinnitus Patients

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