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Title: Modeling experimental recordings of vagal afferent signaling of intestinal inflammation for neuromodulation.
Authors: O'Sullivan-Greene, Elma
Kameneva, Tatiana
Trevaks, David
Shafton, Anthony
Payne, Sophie
McAllen, Robin
Furness, John
Grayden, David
Keywords: Computer simulations
Electrical stimulation
Model of afferent signaling
Peripheral nerve signals
Issue Date: Aug-2018
Publisher: IOP Publishing Ltd
Citation: O'Sullivan-Greene, E., T. Kameneva, D. Trevaks, A. Shafton, S. C. Payne, R. McAllen, J. B. Furness, and D. B. Grayden. 2018. Modeling experimental recordings of vagal afferent signaling of intestinal inflammation for neuromodulation. Journal of Neural Engineering: [epub ahead of print].
Abstract: Objective
 Artificial modulation of peripheral nerve signals (neuromodulation) by electrical stimulation is an innovation with potential to develop treatments that replace or supplement drugs. One function of the nervous system that can be exploited by neuromodulation is regulation of disease intensity. Optimal interfacing of devices with the nervous system requires suitable models of peripheral nerve systems so that closed-loop control can be utilized for therapeutic benefit. 
 Approach 
 We use physiological data to model afferent signaling in the vagus nerve that carries information about inflammation in the small intestine to the brain.
 Main results
 The vagal nerve signaling system is distributed and complex; however, we propose a class of reductive models using a state-space formalism that can be tuned in a patient-specific manner.
 Significance 
 These models provide excellent fits to a large range of nerve recording data but are computationally simple enough for feedback control in implantable neuromodulation devices.
URI: http://repository.bionicsinstitute.org:8080/handle/123456789/315
ISSN: 1741-2552
Appears in Collections:Other research publications

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