An introduction to contingent (closed-loop) brain electrical stimulation for seizure blockage, to ultra-short-term clinical trials, and to multidimensional statistical analysis of therapeutic efficacy
- PMID: 11779966
- DOI: 10.1097/00004691-200111000-00003
An introduction to contingent (closed-loop) brain electrical stimulation for seizure blockage, to ultra-short-term clinical trials, and to multidimensional statistical analysis of therapeutic efficacy
Abstract
Automated seizure blockage is a top research priority of the American Epilepsy Society. This delivery modality (referred to herein as contingent or closed loop) requires for implementation a seizure detection algorithm for control of delivery of therapy via a suitable device. The authors address the many potential advantages of this modality over conventional alternatives (periodic or continuous), and the challenges it poses in the design and analysis of trials to assess efficacy and safety-in the particular context of direct delivery of electrical stimulation to brain tissue. The experimental designs of closed-loop therapies are currently limited by ethical, technical, medical, and practical considerations. One type of design that has been used successfully in an in-hospital "closed-loop" trial using subjects undergoing epilepsy surgery evaluation as their own controls is discussed in detail. This design performs a two-way comparison of seizure intensity, duration, and extent of spread between the control (surgery evaluation) versus the experimental phase, and, within the experimental phase, between treated versus untreated seizures. The proposed statistical analysis is based on a linear model that accounts for possible circadian effects, changes in treatment protocols, and other important factors such as change in seizure probability. The analysis is illustrated using seizure intensity as one of several possible end points from one of the subjects who participated in this trial. In-hospital ultra-short-term trials to assess safety and efficacy of closed-loop delivery of electrical stimulation for seizure blockage are both feasible and valuable.
Similar articles
-
Network system for automated seizure detection and contingent delivery of therapy.J Clin Neurophysiol. 2001 Nov;18(6):545-9. doi: 10.1097/00004691-200111000-00004. J Clin Neurophysiol. 2001. PMID: 11779967
-
Automated seizure abatement in humans using electrical stimulation.Ann Neurol. 2005 Feb;57(2):258-68. doi: 10.1002/ana.20377. Ann Neurol. 2005. PMID: 15668970
-
Seizure Suppression Efficacy of Closed-Loop Versus Open-Loop Deep Brain Stimulation in a Rodent Model of Epilepsy.IEEE Trans Neural Syst Rehabil Eng. 2016 Jun;24(6):710-9. doi: 10.1109/TNSRE.2015.2498973. Epub 2015 Nov 10. IEEE Trans Neural Syst Rehabil Eng. 2016. PMID: 26571534
-
Neocortical electrical stimulation for epilepsy: Closed-loop versus open-loop.Epilepsy Res. 2018 Mar;141:95-101. doi: 10.1016/j.eplepsyres.2018.02.010. Epub 2018 Feb 19. Epilepsy Res. 2018. PMID: 29547789 Review.
-
Electrical control of epileptic seizures.J Clin Neurophysiol. 2007 Apr;24(2):197-204. doi: 10.1097/WNP.0b013e31803991c3. J Clin Neurophysiol. 2007. PMID: 17414976 Review.
Cited by
-
Epileptic seizures from abnormal networks: why some seizures defy predictability.Epilepsy Res. 2012 May;99(3):202-13. doi: 10.1016/j.eplepsyres.2011.11.006. Epub 2011 Dec 12. Epilepsy Res. 2012. PMID: 22169211 Free PMC article.
-
Electrophoretic deposition of ligand-free platinum nanoparticles on neural electrodes affects their impedance in vitro and in vivo with no negative effect on reactive gliosis.J Nanobiotechnology. 2016 Jan 12;14:3. doi: 10.1186/s12951-015-0154-9. J Nanobiotechnology. 2016. PMID: 26753543 Free PMC article.
-
Experimental Electrical Stimulation Therapy for Epilepsy.Curr Treat Options Neurol. 2005 Jul;7(4):261-271. doi: 10.1007/s11940-005-0036-9. Curr Treat Options Neurol. 2005. PMID: 15967089
-
A Threat to Autonomy? The Intrusion of Predictive Brain Implants.AJOB Neurosci. 2015 Oct 2;6(4):4-11. doi: 10.1080/21507740.2015.1076087. Epub 2015 Nov 30. AJOB Neurosci. 2015. PMID: 26740906 Free PMC article.
-
Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation.Nat Biomed Eng. 2021 Apr;5(4):324-345. doi: 10.1038/s41551-020-00666-w. Epub 2021 Feb 1. Nat Biomed Eng. 2021. PMID: 33526909
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical