Microelectrode-Based Epilepsy Therapy: A Hybrid Neural Prosthesis Incorporating Seizure Prediction and Intervention with Biomimetic Maintenance of Normal Hippocampal Function

Michelle L. Stephens, Dennis D. Spencer, Idil Cavus, Min Chi Hsiao, Dong Song, Sam A. Deadwyler, Robert E. Hampson, David Putz, Jorge E. Quintero, Meriem K. Bensalem-Owen, Kevin N. Hascup, Erin C. Rutherford, B. Keith Day, Justin R. Nickell, Francois Pomerleau, Peter Huettl, Jason J. Burmeister, Pooja M. Talauliker, Vasilis Z. Marmarelis, John J. GranackiTheodore Berger, Greg A. Gerhardt

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

Researchers and clinicians have become intrigued with coupling seizure prediction and local electrical stimulation or pharmacotherapy for treatment of the approximately one million individuals with persistent uncontrolled epilepsy. Critical for interventions aimed at halting seizure onset are-the ability to detect and characterize aberrant neuronal activity indicative of imminent seizure and the ability to maintain cognitive function normally supported by the brain tissue that must be treated to prevent seizures. This chapter reviews the research on the development and refinement of an enzyme-based, mass-fabricated microelectrode array technology that can be implanted into the mammalian central nervous system and utilized for second-by-second assessment of localized glutamate neurotransmission. Based upon the experience, extracellular fluctuations in glutamate do not exhibit the spontaneity and complexity observed in the electrical characteristics of aberrantly firing neurons. Predictive modeling based upon chemical neuronal communication may present a very accurate seizure detection system with minimal false-positives and false-negatives currently complicating electroencephalography (EEG)-based seizure prediction. Though a prediction and local intervention therapeutic paradigm could offer a dramatic improvement in treatment of refractory seizures, it is proposed that achieving the ultimate goal of enhancing the daily functioning of these patients necessitates consideration of consequences experienced by the patient when hippocampal circuitry is "shut-down" to thwart seizure onset. The prosthetic technology utilizes non-linear modeling to generate outputs characteristic of the normal functioning of the epileptic hippocampal circuit during the time when that circuit must be "shut down" to suppress seizure. The outputs are computed from afferent neuronal input recorded from an indwelling microelectrode array "upstream" from the impaired hippocampal tissue so as to bypass the malfunctioning portion of the hippocampus.

Original languageEnglish
Title of host publicationComputational Neuroscience in Epilepsy
PublisherElsevier Inc.
Pages559-586
Number of pages28
ISBN (Print)9780123736499
DOIs
StatePublished - Dec 1 2008
Externally publishedYes

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