Literature DB >> 19632096

A decrease in EEG energy accompanies anti-epileptic drug taper during intracranial monitoring.

Hitten P Zaveri1, Steven M Pincus, Irina I Goncharova, Edward J Novotny, Robert B Duckrow, Dennis D Spencer, Susan S Spencer.   

Abstract

OBJECTIVE: During intracranial EEG (icEEG) monitoring the likelihood of observing a seizure is increased by tapering anti-epileptic drugs (AEDs). Presumably AED taper results in an increase in cortical excitation which in turn promotes seizure emergence. We measured change in signal energy of icEEGs in response to AED taper to quantify changes in excitation which accompany the increased propensity for seizures.
METHODS: Twelve consecutive adult patients who completed intracranial monitoring were studied. Two icEEG epochs from before and after AED taper, each 1h in duration, during wake, matched by time-of-day and removed from seizures were selected for each patient. Teager energy, a frequency weighted measure of signal energy, was estimated for both the seizure onset region as well as all other brain areas monitored.
RESULTS: Considerable changes in Teager energy, evaluated at a 1-h time-resolution, occur during intracranial monitoring. The most dominant trend is a decrease to lower values than those when the patient is on AEDs. A decrease of 35% was observed for both all the brain areas monitored and the seizure onset region.
CONCLUSIONS: A decrease in signal energy occurs during intracranial EEG monitoring, possibly accompanying AED taper. If the decrease is due to AED taper this would suggest that AEDs prevent seizures in ways other than reduction of cortical excitation and seizure generation may be influenced by factors other than poorly regulated cortical excitation.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19632096     DOI: 10.1016/j.eplepsyres.2009.06.002

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  6 in total

1.  Cognitive tasks and human ambulatory electrocorticography using the RNS System.

Authors:  Stephen Meisenhelter; Markus E Testorf; Mark A Gorenstein; Nicholas R Hasulak; Thomas K Tcheng; Joshua P Aronson; Barbara C Jobst
Journal:  J Neurosci Methods       Date:  2018-09-26       Impact factor: 2.390

2.  Controversies in epilepsy: debates held during the Fourth International Workshop on Seizure Prediction.

Authors:  Mark G Frei; Hitten P Zaveri; Susan Arthurs; Gregory K Bergey; Christophe C Jouny; Klaus Lehnertz; Jean Gotman; Ivan Osorio; Theoden I Netoff; Walter J Freeman; John Jefferys; Gregory Worrell; Michel Le Van Quyen; Steven J Schiff; Florian Mormann
Journal:  Epilepsy Behav       Date:  2010-08-13       Impact factor: 2.937

3.  Predictability and Resetting in a Case of Convulsive Status Epilepticus.

Authors:  Timothy Hutson; Diana Pizarro; Sandipan Pati; Leon D Iasemidis
Journal:  Front Neurol       Date:  2018-03-22       Impact factor: 4.003

Review 4.  Quantitative Pharmaco-Electroencephalography in Antiepileptic Drug Research.

Authors:  Yvonne Höller; Christoph Helmstaedter; Klaus Lehnertz
Journal:  CNS Drugs       Date:  2018-09       Impact factor: 5.749

5.  Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.

Authors:  Bryce Beverlin Ii; Theoden I Netoff
Journal:  Front Neural Circuits       Date:  2013-02-06       Impact factor: 3.492

6.  Expanding Brain-Computer Interfaces for Controlling Epilepsy Networks: Novel Thalamic Responsive Neurostimulation in Refractory Epilepsy.

Authors:  Abhijeet Gummadavelli; Hitten P Zaveri; Dennis D Spencer; Jason L Gerrard
Journal:  Front Neurosci       Date:  2018-07-31       Impact factor: 4.677

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.