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Respiratory pattern generator model using Ca super(++)-induced Ca super(++) release in neurons shows both pacemaker and reciprocal network properties

There are two contradictory explanations for central respiratory rhythmogenesis. One suggests that respiratory rhythm emerges from interaction between inspiratory and expiratory neural semicenters that inhibit each other and thereby provide reciprocal rhythmic activity. The other uses bursting pacem...

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Bibliographic Details
Published in:Biological cybernetics 2003-10, Vol.89 (4), p.274-288
Main Authors: Dunin-Barkowski, W L, Escobar, AL, Lovering, A T, Orem, J M
Format: Article
Language:English
Online Access:Get full text
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Summary:There are two contradictory explanations for central respiratory rhythmogenesis. One suggests that respiratory rhythm emerges from interaction between inspiratory and expiratory neural semicenters that inhibit each other and thereby provide reciprocal rhythmic activity. The other uses bursting pacemaker activity of individual neurons to produce the rhythm. Hybrid models have been developed to reconcile these two seemingly conflicting mechanisms. Here we report computer simulations that demonstrate a unified mechanism of the two types of oscillator. In the model, we use the interaction of Ca super(++)-dependent K super(+) channels with Ca super(++)-induced Ca super(++) release from intracellular stores, which was recently revealed in neurons. Our computations demonstrate that uncoupled neurons with these intracellular mechanisms show conditional pacemaker properties when exposed to steady excitatory inputs. Adding weak inhibitory synapses (based on increased K super(+) conductivity) between two model neural pools surprisingly synchronizes the activity of both neural pools. As inhibitory synaptic connections between the two pools increase from zero to higher values, the model produces first dissociated pacemaker activity of individual neurons, then periodic synchronous bursts of all neurons (inspiratory and expiratory), and finally reciprocal rhythmic activity of the neural pools.
ISSN:0340-1200
DOI:10.1007/S00422-003-0418-6