Literature DB >> 26647755

Should stimulation parameters be individualized to stop seizures: Evidence in support of this approach.

Tiwalade Sobayo1, David J Mogul1.   

Abstract

OBJECTIVE: Deep-brain electrical stimulation (DBS) is a treatment modality being explored for many neurologic diseases and is a potentially potent means of disrupting the aberrant rhythms that arise during the epileptic seizures that afflict >1% of the population. However, current DBS protocols typically employed are formulated a priori and do not reflect the electrophysiologic dynamics within the brain as seizures arise, which may underlie their limited efficacy. This study investigates how the efficacy of DBS could be improved using endogenous dynamics to inform stimulation protocols.
METHODS: Multisite brain dynamics within the circuit of Papez were calculated in a chronic rat limbic epilepsy model induced via lithium chloride/pilocarpine intraperitoneal injections. Stimulation/recording electrodes were placed in the CA3 region of the left and right hippocampi and the anteromedial nucleus of the left thalamus. Deconvolution of local field potentials using empirical mode decomposition (EMD) and phase synchrony analysis revealed multisite coherence as seizures approached natural termination that could not be detected with Fourier analysis. Multisite stimulation used charge-neutral biphasic square waves at frequencies observed during natural termination.
RESULTS: Synchronization of electrical activity across sites occurred as both spontaneous and evoked seizures naturally terminated. Furthermore, the location and frequency of the synchrony varied between subjects but was stable in time within each animal. DBS protocols were significantly more effective at rapidly stopping seizures when the frequency and location of multisite stimulation reflected the endogenous synchrony dynamics observed in each subject as seizures naturally terminated. SIGNIFICANCE: These results strongly support the approach of tailoring DBS protocols to individual endogenous rhythms that may represent how brains naturally resolve epileptic seizures. This approach may significantly improve the overall efficacy of this potentially important therapy. Wiley Periodicals, Inc.
© 2015 International League Against Epilepsy.

Entities:  

Keywords:  Chronic epilepsy; Deep brain stimulation; Empirical mode decomposition; Rat; Temporal lobe

Mesh:

Year:  2015        PMID: 26647755      PMCID: PMC6344033          DOI: 10.1111/epi.13259

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


  36 in total

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8.  Bilateral anterior thalamic nucleus lesions and high-frequency stimulation are protective against pilocarpine-induced seizures and status epilepticus.

Authors:  Clement Hamani; Flavio I S Ewerton; Saulo M Bonilha; Gerson Ballester; Luiz E A M Mello; Andres M Lozano
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Authors:  Theoden I Netoff; Steven J Schiff
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  6 in total

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Review 2.  Brain stimulation treatments in epilepsy: Basic mechanisms and clinical advances.

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3.  Phase Synchronization Dynamics of Neural Network during Seizures.

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4.  Interaction between Thalamus and Hippocampus in Termination of Amygdala-Kindled Seizures in Mice.

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Journal:  Comput Math Methods Med       Date:  2016-10-17       Impact factor: 2.238

5.  Stimulating Solutions for Intractable Epilepsy.

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6.  Electrical stimulation of the endopiriform nucleus attenuates epilepsy in rats by network modulation.

Authors:  Donghong Li; Deng Luo; Junling Wang; Wei Wang; Zhangyi Yuan; Yue Xing; Jiaqing Yan; Zhiyi Sha; Horace H Loh; Milin Zhang; Thomas R Henry; Xiaofeng Yang
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  6 in total

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