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Modulating seizure-permissive states with weak electric fields Marom Bikson Davide Reato, Thomas Radman, Lucas Parra Neural Engineering Laboratory - Department of Biomedical Engineering The City College of New York of CUNY
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Rational Epilepsy Electrotherapy Specific Objective: Characterize the modulation of gamma-band network activity by weak electric fields. Epilepsy Control Rationale: Changes in gamma activity may be indicative of a pre-seizure. Early detection and stimulation may control seizures. General Approach: Can the mechanisms of electrical modulation be accurately described to then facilitate rational control strategies. Methods: Stimulation of gamma oscillations in brain slices to characterize acute effects. “Physiological” computational neuronal modeling to describe modulation.
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Network Gamma and Stimulation Methods Brain Slice 450 μM acute rat hippocampal slice 20 μM carbachol CA3 extra/intracellular electrophysiology Uniform “weak” electric field stimulation (DC, AC, acute, open loop) ‘Izhikevich’ single compartment CA3 neurons 800 pyramidal and 200 inhibitory neurons All-to-all synaptic coupling, weighted strengths Electric Field polarizes pyramidals as: “Physiological” Computational Model I ElectricField = Electric Field * G coupling
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Electric Field Cell polarization Slope → G coupling
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I ElectricField = Electric Field * G coupling Electric Field Cell polarization Slope → G coupling DC Uniform DC Uniform Field
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I ElectricField = Electric Field * G coupling Electric Field Cell polarization Slope → G coupling Hyper-polarized cell compartments Depolarized cell compartments DC Uniform Field
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I ElectricField = Electric Field * G coupling Electric Field Cell polarization Slope → G coupling Hyper-polarized cell compartments DC Uniform Field Depolarized cell compartments G coupling = 0
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? G coupling Electric Field Cell polarization Slope → G coupling Bikson, Jefferys 2004CA1 ~ 0.1 Deans, Jefferys 2007 CA3 ~ 0.2 Radman, Bikson 2009 Cortical Neuron <0.5 I ElectricField = Electric Field * G coupling
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“Physiological” Computational Model Brain Slice G coupling (field freq) ← t =RC 450 μM acute hippocampal slice 20 μM carbachol CA3 extra/intracellular electrophysiology Uniform “weak” electric field stimulation (DC, AC, acute, open loop) ‘Izhikevich’ single compartment CA3 neurons 800 pyramidal and 200 inhibitory neurons All-to-all synaptic coupling, weighted strengths Electric Field polarizes pyramidals as: Network Gamma and Stimulation Methods
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“Tonic” gamma “Physiological” Computational Model Brain Slice Network Gamma and Stimulation Methods
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DC fields -6 mV / mm 6 mV / mm Adaptation?
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AC fields 2 Hz (4 mV / mm) 28 Hz (6 mV / mm) Sub-harmonics? Modulation? Deans et al. 2008
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Monophasic ‘AC’ Fields 2 Hz AC (6 mV / mm) + DC 6 mV/mm 2 Hz AC (6 mV / mm) - DC 6 mV/mm
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Computational Results Qualitative / Quantitative reproduction of brain slice data set (AC, DC, AC+DC) Physiological variables and parameters Simulation effects only pyramidal neurons (soma) Adaptation, sub-harmonics, modulation Extracellular, intracellular Slice
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In Py In Py carbachol In Py In Py carbachol Mechanism
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In Py In Py carbachol In Py In Py Electric field carbachol Mechanism DC 28 Hz AC
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General Approach Gamma Epileptic In vitro model + electric fields → Computational models
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Conclusions “Weak” electric fields can modulate active gamma oscillations Interactions between the cellular and network level determine responses Response is system/state specific (physiology, pathophysiology) Reduced (e.g. single compartment) but “physiological” and parameterized (G coupling, field) computer models may guide rational epilepsy electrotherapy
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