Literature DB >> 9738671

Neuronal complexity loss in interictal EEG recorded with foramen ovale electrodes predicts side of primary epileptogenic area in temporal lobe epilepsy: a replication study.

B Weber1, K Lehnertz, C E Elger, H G Wieser.   

Abstract

PURPOSE: To investigate whether a correct lateralization of the primary epileptogenic area by means of neuronal complexity loss analysis can be obtained from interictal EEG recordings using semi-invasive foramen ovale electrodes. In a previous study with recordings from intrahippocampal depth and subdural strip electrodes it was shown that the dynamics of the primary epileptogenic area can be characterized by an increased loss of neuronal complexity in patients with unilateral temporal lobe epilepsy (TLE).
METHODS: Neuronal complexity loss analysis was applied. This analysis method is derived from the theory of nonlinear dynamics and provides a topological diagnosis even in cases where no actual seizure activity can be recorded. We examined interictal EEG recorded intracranially from multipolar foramen ovale electrodes in 19 patients with unilateral TLE undergoing presurgical evaluation.
RESULTS: The primary epileptogenic area was correctly lateralized in 16 of the 19 investigated patients. The misclassification of the side of seizure onset in three patients might be attributed to the larger distance between the foramen ovale electrodes and the mesial temporal structures as compared to intrahippocampal depth electrodes.
CONCLUSIONS: Our results confirm the previous findings and provide further evidence for the usefulness of nonlinear time-series analysis for the characterization of the spatiotemporal dynamics of the primary epileptogenic area in mesial temporal lobe epilepsy.

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Year:  1998        PMID: 9738671     DOI: 10.1111/j.1528-1157.1998.tb01441.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  4 in total

1.  Measuring the complexity of time series: an application to neurophysiological signals.

Authors:  S L Gonzalez Andino; R Grave de Peralta Menendez; G Thut; L Spinelli; O Blanke; C M Michel; M Seeck; T Landis
Journal:  Hum Brain Mapp       Date:  2000-09       Impact factor: 5.038

2.  Epilepsy and nonlinear dynamics.

Authors:  Klaus Lehnertz
Journal:  J Biol Phys       Date:  2008-07-09       Impact factor: 1.365

3.  Estimating short-run and long-run interaction mechanisms in interictal state.

Authors:  Ata Ozkaya; Mehmet Korürek
Journal:  J Comput Neurosci       Date:  2009-11-10       Impact factor: 1.621

4.  Functional connectivity estimated from intracranial EEG predicts surgical outcome in intractable temporal lobe epilepsy.

Authors:  Arun R Antony; Andreas V Alexopoulos; Jorge A González-Martínez; John C Mosher; Lara Jehi; Richard C Burgess; Norman K So; Roberto F Galán
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

  4 in total

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