Literature DB >> 16495334

Modelling release of nitric oxide in a slice of rat's brain: describing stimulated functional hyperemia with diffusion-reaction equations.

Alexander I Oleinick1, Christian Amatore, Manon Guille, Stephane Arbault, Oleksiy V Klymenko, Irina Svir.   

Abstract

The physicochemical process of nitric oxide (NO degrees ) release from an active neuron is modelled based on the results obtained experimentally in independent series of experiments reported elsewhere in which the NO degrees release elicited by patch-clamping a single neuron (stellate neuron from cerebellum area) is monitored by an ultramicroelectrode introduced into a slice of living rat's brain. This process is believed to be central to brain behaviour by coupling neuronal activity with the blood supply to active areas of the living brain through precise control of NO degrees -mediated dilatation of blood capillary vessels. This work, based on the conformal mapping approach initially proposed in a previous work, aims to model the overall physicochemical and diffusional processes giving rise to the release of NO degrees by a neuron and during its collection at an electrode sensor. Fitting simulated currents to experimental ones published previously yields indeed the gross kinetic information which represents the overall neuron activation and defines the instant value of the concentration of NO degrees at the neuron surface. This allows reconstructing the NO degrees fluxes around the neuron body as they would have been in the absence of the electrode sensor. This permits one to appreciate how far NO degrees is released by the neuron at concentrations which greatly exceed their basal values. The success of this procedure is exemplified using a set of three experimental data reported elsewhere.

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Year:  2006        PMID: 16495334     DOI: 10.1093/imammb/dql001

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  2 in total

1.  Early treatment gains for antibiotic administration and within human host time series data.

Authors:  Todd R Young; Erik M Boczko
Journal:  Math Med Biol       Date:  2018-06-13       Impact factor: 1.854

2.  Technological Barriers in the Use of Electrochemical Microsensors and Microbiosensors for in vivo Analysis of Neurological Relevant Substances.

Authors:  Bogdan Bucur
Journal:  Curr Neuropharmacol       Date:  2012-09       Impact factor: 7.363

  2 in total

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