Abstract |
Deep brain stimulation (DBS) has been noted for its potential to suppress epileptic seizures. To date, DBS has achieved mixed results as a therapeutic approach to seizure control. Using a computational model, we demonstrate that high-complexity, biologically-inspired responsive neuromodulation is superior to periodic forms of neuromodulation (responsive and non-responsive) such as those implemented in DBS, as well as neuromodulation using random and random repetitive-interval stimulation. We configured radial basis function (RBF) networks to generate outputs modeling interictal time series recorded from rodent hippocampal slices that were perfused with low Mg²⁺/high K⁺ solution. We then compared the performance of RBF-based interictal modulation, periodic biphasic-pulse modulation, random modulation and random repetitive modulation on a cognitive rhythm generator (CRG) model of spontaneous seizure-like events (SLEs), testing efficacy of SLE control. A statistically significant improvement in SLE mitigation for the RBF interictal modulation case versus the periodic and random cases was observed, suggesting that the use of biologically-inspired neuromodulators may achieve better results for the purpose of electrical control of seizures in a clinical setting.
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Authors | Sinisa Colic, Osbert C Zalay, Berj L Bardakjian |
Journal | International journal of neural systems
(Int J Neural Syst)
Vol. 21
Issue 5
Pg. 367-83
(Oct 2011)
ISSN: 1793-6462 [Electronic] Singapore |
PMID | 21956930
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- Neurotransmitter Agents
- Magnesium
- Potassium
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Topics |
- Action Potentials
(physiology)
- Animals
- Computer Simulation
- Deep Brain Stimulation
- Epilepsy
(physiopathology)
- Hippocampus
(physiology, physiopathology)
- Humans
- Magnesium
(metabolism)
- Male
- Neural Networks, Computer
- Neurotransmitter Agents
- Potassium
(metabolism)
- ROC Curve
- Rats
- Rats, Wistar
- Seizures
(physiopathology)
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