Literature DB >> 21442779

Closed-loop seizure control with very high frequency electrical stimulation at seizure onset in the GAERS model of absence epilepsy.

Timothy S Nelson1, Courtney L Suhr, Dean R Freestone, Alan Lai, Amy J Halliday, Karen J McLean, Anthony N Burkitt, Mark J Cook.   

Abstract

A closed-loop system for the automated detection and control of epileptic seizures was created and tested in three Genetic Absence Epilepsy Rats from Strasbourg (GAERS) rats. In this preliminary study, a set of four EEG features were used to detect seizures and three different electrical stimulation strategies (standard (130 Hz), very high (500 Hz) and ultra high (1000 Hz)) were delivered to terminate seizures. Seizure durations were significantly shorter with all three stimulation strategies when compared to non-stimulated (control) seizures. We used mean seizure duration of epileptiform discharges persisting beyond the end of electrical stimulation as a measure of stimulus efficacy. When compared to the duration of seizures stimulated in the standard approach (7.0 s ± 10.1), both very high and ultra high frequency stimulation strategies were more effective at shortening seizure durations (1.3 ± 2.2 s and 3.5 ± 6.4 s respectively). Further studies are warranted to further understand the mechanisms by which this therapeutic effect may be conveyed, and which of the novel aspects of the very high and ultra high frequency stimulation strategies may have contributed to the improvement in seizure abatement performance when compared to standard electrical stimulation approaches.

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Year:  2011        PMID: 21442779     DOI: 10.1142/S0129065711002717

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  12 in total

1.  Spike history neural response model.

Authors:  Tatiana Kameneva; Miganoosh Abramian; Daniele Zarelli; Dragan Nĕsić; Anthony N Burkitt; Hamish Meffin; David B Grayden
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3.  neuroBi: A Highly Configurable Neurostimulator for a Retinal Prosthesis and Other Applications.

Authors:  Kyle D Slater; Nicholas C Sinclair; Timothy S Nelson; Peter J Blamey; Hugh J McDermott
Journal:  IEEE J Transl Eng Health Med       Date:  2015-07-13       Impact factor: 3.316

Review 4.  Microcircuits in Epilepsy: Heterogeneity and Hub Cells in Network Synchronization.

Authors:  Anh Bui; Hannah K Kim; Mattia Maroso; Ivan Soltesz
Journal:  Cold Spring Harb Perspect Med       Date:  2015-11-02       Impact factor: 6.915

5.  Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy.

Authors:  Sebastien H Bauquier; Alan Lai; Jonathan L Jiang; Yi Sui; Mark J Cook
Journal:  Neurosci Bull       Date:  2015-08-04       Impact factor: 5.203

Review 6.  Standards for data acquisition and software-based analysis of in vivo electroencephalography recordings from animals. A TASK1-WG5 report of the AES/ILAE Translational Task Force of the ILAE.

Authors:  Jason T Moyer; Vadym Gnatkovsky; Tomonori Ono; Jakub Otáhal; Joost Wagenaar; William C Stacey; Jeffrey Noebels; Akio Ikeda; Kevin Staley; Marco de Curtis; Brian Litt; Aristea S Galanopoulou
Journal:  Epilepsia       Date:  2017-11       Impact factor: 5.864

7.  Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform.

Authors:  Jonathan P Newman; Riley Zeller-Townson; Ming-Fai Fong; Sharanya Arcot Desai; Robert E Gross; Steve M Potter
Journal:  Front Neural Circuits       Date:  2013-01-18       Impact factor: 3.492

8.  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

9.  The role of local field potential coupling in epileptic synchronization.

Authors:  Jiongxing Wu; Heng Yang; Yufeng Peng; Liangjuan Fang; Wen Zheng; Zhi Song
Journal:  Neural Regen Res       Date:  2013-03-15       Impact factor: 5.135

10.  Differential Modulation of Excitatory and Inhibitory Neurons during Periodic Stimulation.

Authors:  Mufti Mahmud; Stefano Vassanelli
Journal:  Front Neurosci       Date:  2016-02-25       Impact factor: 4.677

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