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We examined the effects of in utero nicotine exposure on postnatal development of breathing pattern and ventilatory responses to hypoxia (7.4 % O2) using whole-body plethysmography in mice at postnatal day 0 (P0), P3, P9, P19 and P42. Nicotine delayed early postnatal changes in breathing pattern. During normoxia, control and nicotine-exposed P0 mice exhibited a high frequency of apnoea (f(A)) which declined by P3 in control animals (from 6.7 +/- 0.7 to 2.2 +/- 0.7 min(-1)) but persisted in P3 nicotine-exposed animals (5.4 +/- 1.3 min(-1)). Hypoxia induced a rapid and sustained reduction in f(A) except in P0 nicotine-exposed animals where it fell initially and then increased throughout the hypoxic period. During recovery, f(A) increased above control levels in both groups at P0. By P3 this increase was reduced in control but persisted in nicotine-exposed animals. To examine the origin of differences in respiratory behaviour, we compared the activity of hypoglossal (XII) nerves and motoneurons in medullary slice preparations. The frequency and variability of the respiratory rhythm and the envelope of inspiratory activity in XII nerves and motoneurons were indistinguishable between control and nicotine-exposed animals. Activation of postsynaptic nicotine receptors caused an inward current in XII motoneurons that potentiated XII nerve burst amplitude by 25 +/- 5 % in control but only 14 +/- 3 % in nicotine-exposed animals. Increased apnoea following nicotine exposure does not appear to reflect changes in basal activity of rhythm or pattern-generating networks, but may result, in part, from reduced nicotinic modulation of XII motoneurons.
Pubmed ID: 11826179 RIS Download
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NEURON is a simulation environment for modeling individual neurons and networks of neurons. It provides tools for conveniently building, managing, and using models in a way that is numerically sound and computationally efficient. It is particularly well-suited to problems that are closely linked to experimental data, especially those that involve cells with complex anatomical and biophysical properties. NEURON has benefited from judicious revision and selective enhancement, guided by feedback from the growing number of neuroscientists who have used it to incorporate empirically-based modeling into their research strategies. NEURON's computational engine employs special algorithms that achieve high efficiency by exploiting the structure of the equations that describe neuronal properties. It has functions that are tailored for conveniently controlling simulations, and presenting the results of real neurophysiological problems graphically in ways that are quickly and intuitively grasped. Instead of forcing users to reformulate their conceptual models to fit the requirements of a general purpose simulator, NEURON is designed to let them deal directly with familiar neuroscience concepts. Consequently, users can think in terms of the biophysical properties of membrane and cytoplasm, the branched architecture of neurons, and the effects of synaptic communication between cells. * helps users focus on important biological issues rather than purely computational concerns * has a convenient user interface * has a user-extendable library of biophysical mechanisms * has many enhancements for efficient network modeling * offers customizable initialization and simulation flow control * is widely used in neuroscience research by experimentalists and theoreticians * is well-documented and actively supported * is free, open source, and runs on (almost) everything
View all literature mentionsA software tool which provides a means to acquire and analyze time-series data, as well as a direct route to publication quality graphics. It provides a variety of graph styles and automated, extended, and/or customizable analyses.
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