Literature DB >> 10756415

Clinical relevance of quantified intracranial interictal spike activity in presurgical evaluation of epilepsy.

A Hufnagel1, M Dümpelmann, J Zentner, O Schijns, C E Elger.   

Abstract

PURPOSE: Electrocorticograms of 32 patients with medically intractable seizures, recorded through intracranial electrodes, were retrospectively analyzed. The objective was to assess whether quantitative analysis of interictal spikes may be used for delineation of the epileptogenic zone.
METHODS: We used a newly developed computer program for automatic detection of interictal spikes and averaging procedures. This allowed determination of the earliest spike of each spike cluster, the maximal averaged spike amplitude, the highest spike frequency, and the shortest averaged spike duration at each recording site.
RESULTS: The following results were obtained: (a) Within a zone </=2 cm from the site of seizure origin, we localized the averaged earliest spike of a spike cluster in 27 (84%) of 32 patients, the highest averaged spike amplitude in 24 (75%) of 32, the shortest averaged spike duration in 22 (69%) of 32, and the maximal spike frequency in 17 (53%) of 32; (b) No correlation was found between spike occurrence and histopathology; (c) No evidence was found for decreased postoperative seizure control in patients with several multilobar or bihemispheric occurrence of spike clusters.
CONCLUSIONS: The zones of the earliest spike and seizure origin demonstrate a high correlation that favors a common epileptic generator. Removal of all brain areas demonstrating spike clusters is unnecessary to achieve seizure control. Quantification of interictal spike activity is a valuable tool for localization of the seizure generator.

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Year:  2000        PMID: 10756415     DOI: 10.1111/j.1528-1157.2000.tb00191.x

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


  61 in total

1.  A candidate mechanism underlying the variance of interictal spike propagation.

Authors:  Helen R Sabolek; Waldemar B Swiercz; Kyle P Lillis; Sydney S Cash; Gilles Huberfeld; Grace Zhao; Linda Ste Marie; Stéphane Clemenceau; Greg Barsh; Richard Miles; Kevin J Staley
Journal:  J Neurosci       Date:  2012-02-29       Impact factor: 6.167

2.  Comparison of five directed graph measures for identification of leading interictal epileptic regions.

Authors:  L Amini; C Jutten; S Achard; O David; P Kahane; L Vercueil; L Minotti; G A Hossein-Zadeh; H Soltanian-Zadeh
Journal:  Physiol Meas       Date:  2010-10-15       Impact factor: 2.833

3.  High-frequency changes during interictal spikes detected by time-frequency analysis.

Authors:  Julia Jacobs; Katsuhiro Kobayashi; Jean Gotman
Journal:  Clin Neurophysiol       Date:  2010-07-06       Impact factor: 3.708

4.  Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

Authors:  Maurice Abou Jaoude; Jin Jing; Haoqi Sun; Claire S Jacobs; Kyle R Pellerin; M Brandon Westover; Sydney S Cash; Alice D Lam
Journal:  Clin Neurophysiol       Date:  2019-11-11       Impact factor: 3.708

5.  Localizing seizure-onset zones in presurgical evaluation of drug-resistant epilepsy by electroencephalography/fMRI: effectiveness of alternative thresholding strategies.

Authors:  M Hauf; K Jann; K Schindler; O Scheidegger; K Meyer; C Rummel; L Mariani; T Koenig; R Wiest
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-26       Impact factor: 3.825

6.  Propagation of epileptic spikes reconstructed from spatiotemporal magnetoencephalographic and electroencephalographic source analysis.

Authors:  Naoaki Tanaka; Matti S Hämäläinen; Seppo P Ahlfors; Hesheng Liu; Joseph R Madsen; Blaise F Bourgeois; Jong Woo Lee; Barbara A Dworetzky; John W Belliveau; Steven M Stufflebeam
Journal:  Neuroimage       Date:  2009-12-16       Impact factor: 6.556

7.  Continuous electroencephalographic monitoring with radio-telemetry in a rat model of perinatal hypoxia-ischemia reveals progressive post-stroke epilepsy.

Authors:  Shilpa D Kadam; Andrew M White; Kevin J Staley; F Edward Dudek
Journal:  J Neurosci       Date:  2010-01-06       Impact factor: 6.167

Review 8.  An animal model to study the clinical significance of interictal spiking.

Authors:  D T Barkmeier; J A Loeb
Journal:  Clin EEG Neurosci       Date:  2009-10       Impact factor: 1.843

9.  Spatial-temporal patterns of electrocorticographic spectral changes during midazolam sedation.

Authors:  Masaaki Nishida; Maria M Zestos; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2015-11-09       Impact factor: 3.708

10.  Interictal EEG spikes identify the region of electrographic seizure onset in some, but not all, pediatric epilepsy patients.

Authors:  Eric D Marsh; Bradley Peltzer; Merritt W Brown; Courtney Wusthoff; Phillip B Storm; Brian Litt; Brenda E Porter
Journal:  Epilepsia       Date:  2009-09-22       Impact factor: 5.864

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