Literature DB >> 15668970

Automated seizure abatement in humans using electrical stimulation.

Ivan Osorio1, Mark G Frei, Sridhar Sunderam, Jonathon Giftakis, Naresh C Bhavaraju, Scott F Schaffner, Steven B Wilkinson.   

Abstract

The need for novel, efficacious, antiseizure therapies is widely acknowledged. This study investigates in humans the feasibility, safety, and efficacy of high-frequency electrical stimulation (HFES; 100-500 Hz) triggered by automated seizure detections. Eight patients were enrolled in this study, which consisted of a control and an experimental phase. HFES was delivered directly to the epileptogenic zone (local closed-loop) in four patients and indirectly, through anterior thalami (remote closed-loop), to the other four patients for every other automated seizure detection made by a validated algorithm. Interphase (control vs experimental phase) and intraphase (stimulated vs nonstimulated) comparisons of clinical seizure rate and relative severity (clinical and electrographic) were performed, and differences were assessed using effect size. Patients were deemed "responders" if seizure rate was reduced by at least 50%; the remaining patients were deemed "nonresponders." All patients completed the study; rescue medications were not required. There were 1,491 HFESs (0.2% triggered after-discharges). Mean change in seizure rate in the local closed-loop group was -55.5% (-100 to +36.8%); three of four responders had a mean change of -86% (-100 to -58.8%). In the remote closed-loop, the mean change of seizure rate was -40.8% (-72.9 to +1.4%); two of four responders had a mean change of -74.3% (-75.6 to -72.9%). Mean effect size was zero in the local closed-loop (responders: beneficial and medium to large in magnitude) and negligible in the remote closed-loop group (responders: beneficial and medium to large). HFES effects on epileptogenic tissue were immediate and also outlasted the stimulation period. This study demonstrates the feasibility and short-term safety of automated HFES for seizure blockage, and also raises the possibility that it may be beneficial in pharmaco-resistant epilepsies.

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Mesh:

Year:  2005        PMID: 15668970     DOI: 10.1002/ana.20377

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  48 in total

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2.  Responsive cortical stimulation: the 21% solution?

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Journal:  Epilepsy Curr       Date:  2012-05       Impact factor: 7.500

3.  State-dependent precursors of seizures in correlation-based functional networks of electrocorticograms of patients with temporal lobe epilepsy.

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4.  The terminal man--from science fiction to therapy.

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Journal:  Epilepsy Curr       Date:  2005 Nov-Dec       Impact factor: 7.500

5.  Brain stimulation for epilepsy: stimulating results?

Authors:  Paul Garcia
Journal:  Epilepsy Curr       Date:  2006 Nov-Dec       Impact factor: 7.500

Review 6.  Deep brain and cortical stimulation for epilepsy.

Authors:  Mathieu Sprengers; Kristl Vonck; Evelien Carrette; Anthony G Marson; Paul Boon
Journal:  Cochrane Database Syst Rev       Date:  2017-07-18

7.  Brain stimulation for epilepsy: of mice and man.

Authors:  Barbara C Jobst
Journal:  Epilepsy Curr       Date:  2013-05       Impact factor: 7.500

Review 8.  Deep Brain Stimulation for Epilepsy: Biomarkers for Optimization.

Authors:  Katrina L Dell; Mark J Cook; Matias I Maturana
Journal:  Curr Treat Options Neurol       Date:  2019-09-26       Impact factor: 3.598

9.  Histocompatibility and in vivo signal throughput for PEDOT, PEDOP, P3MT, and polycarbazole electrodes.

Authors:  Patrick A Forcelli; Cameron T Sweeney; Anthony D Kammerich; Brian C-W Lee; Laura H Rubinson; Yohani P Kayinamura; Karen Gale; Judith F Rubinson
Journal:  J Biomed Mater Res A       Date:  2012-07-20       Impact factor: 4.396

Review 10.  Deep brain stimulation: a new approach to the treatment of epilepsy.

Authors:  Andreas Schulze-Bonhage
Journal:  Dtsch Arztebl Int       Date:  2009-06-12       Impact factor: 5.594

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