NDLI: Correlation Dimension Maps of EEG from Epileptic Absences

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High Resolution DC-EEG Analysis of the Bereitschaftspotential and Post Movement Onset Potentials Accompanying Uni- or Bilateral Voluntary Finger Movements

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Brain Topography : Volume 11, Issue 2, December 1998

Brain Topography : Volume 11, Issue 1, September 1998

Brain Topography : Volume 10

Brain Topography : Volume 9

Correlation Dimension Maps of EEG from Epileptic Absences

Content Provider	Springer Nature Link
Author	Silva, Carla Pimentel, Iveta R. Andrade, Alexandre Foreid, John P. Ducla Soares, Eduardo
Copyright Year	1999
Abstract	The understanding of brain activity, and in particular events such as epileptic seizures, lies on the characterisation of the dynamics of the neural networks. The theory of non-linear dynamics provides signal analysis techniques which may give new information on the behaviour of such networks. Methods: We calculated correlation dimension maps for 19-channel EEG data from 3 patients with a total of 7 absence seizures. The signals were analysed before, during and after the seizures. Phase randomised surrogate data was used to test chaos. Results: In the seizures of two patients we could distinguish two dynamical regions on the cerebral cortex, one that seemed to exhibit chaos whereas the other seemed to exhibit noise. The pattern shown is essentially the same for seizures triggered by hyperventilation, but differ for seizures triggered by light flashes. The chaotic dynamics that one seems to observe is determined by a small number of variables and has low complexity. On the other hand, in the seizures of another patient no chaotic region was found. Before and during the seizures no chaos was found either, in all cases. Conclusions: The application of non-linear signal analysis revealed the existence of differences in the spatial dynamics associated to absence seizures. This may contribute to the understanding of those seizures and be of assistance in clinical diagnosis.
Starting Page	201
Ending Page	209
Page Count	9
File Format	PDF
ISSN	08960267
Journal	Brain Topography
Volume Number	11
Issue Number	3
e-ISSN	15736792
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	1999-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Neurosciences Neurology Psychiatry
Content Type	Text
Resource Type	Article
Subject	Neurology Anatomy Radiology, Nuclear Medicine and Imaging Neurology (clinical) Radiological and Ultrasound Technology

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Identification of Interictal Epileptic Networks from Dense-EEG

3-D Source Localization of Epileptic Foci Integrating EEG and MRI Data

Unsupervised Classification of EEG from Subdural Seizure Recordings

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Correlation Dimension Maps of EEG from Epileptic Absences

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