Literature DB >> 12204298

Synaptic mechanisms of inspiratory off-switching evoked by pontine pneumotaxic stimulation in cats.

Mari Okazaki1, Ryuji Takeda, Hiromi Yamazaki, Akira Haji.   

Abstract

To elucidate synaptic mechanisms and the involvement of N-methyl-D-aspartate (NMDA) receptors in inspiratory off-switching (IOS) evoked by the stimulation of the nucleus parabrachialis medialis (NPBM), excitatory and inhibitory postsynaptic potentials (EPSPs and IPSPs) were recorded from bulbar augmenting inspiratory (aug-I) and postinspiratory (PI) neurons in vagotomized cats. Stimulation of NPBM produced either transient inhibition or premature termination of inspiration (reversible or irreversible IOS), depending on the stimulus intensity. Each neuron displayed four-phasic postsynaptic responses during the reversible IOS, i.e. Phase 1 EPSPs, Phase 2 IPSPs, Phase 3 EPSPs and Phase 4 IPSPs in aug-I neurons, and Phase 1 plus 2 EPSPs, Phase 3 IPSPs and Phase 4 EPSPs in PI neurons. During the irreversible IOS, Phase 4 responses were replaced by sustained hyperpolarization in aug-I neurons and decrementing depolarization in PI neurons. Blockade of NMDA receptors by dizocilpine (0.3 mg kg(-1) i.v.) selectively increased Phase 4 potentials in both types of neurons and decreased the thresholds for evoking the irreversible IOS. The NPBM-induced responses had a pattern and time-course similar to those induced by vagal stimulation. The present results suggest that pneumotaxic and vagal inputs converge on the common IOS circuit, and the effectiveness of both inputs is modulated by NMDA receptors.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12204298     DOI: 10.1016/s0168-0102(02)00091-3

Source DB:  PubMed          Journal:  Neurosci Res        ISSN: 0168-0102            Impact factor:   3.304


  15 in total

1.  [Central sleep apnea in multiple sclerosis].

Authors:  A Steffen; J Hagenah; B Wollenberg; N Brüggemann
Journal:  HNO       Date:  2010-04       Impact factor: 1.284

2.  Functional connectivity in the pontomedullary respiratory network.

Authors:  Lauren S Segers; Sarah C Nuding; Thomas E Dick; Roger Shannon; David M Baekey; Irene C Solomon; Kendall F Morris; Bruce G Lindsey
Journal:  J Neurophysiol       Date:  2008-07-16       Impact factor: 2.714

3.  Reconfiguration of the pontomedullary respiratory network: a computational modeling study with coordinated in vivo experiments.

Authors:  I A Rybak; R O'Connor; A Ross; N A Shevtsova; S C Nuding; L S Segers; R Shannon; T E Dick; W L Dunin-Barkowski; J M Orem; I C Solomon; K F Morris; B G Lindsey
Journal:  J Neurophysiol       Date:  2008-07-23       Impact factor: 2.714

Review 4.  Pontine mechanisms of respiratory control.

Authors:  Mathias Dutschmann; Thomas E Dick
Journal:  Compr Physiol       Date:  2012-10       Impact factor: 9.090

Review 5.  Structural and functional architecture of respiratory networks in the mammalian brainstem.

Authors:  Jeffrey C Smith; Ana P L Abdala; Ilya A Rybak; Julian F R Paton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-09-12       Impact factor: 6.237

Review 6.  Pontine respiratory activity involved in inspiratory/expiratory phase transition.

Authors:  Michael Mörschel; Mathias Dutschmann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-09-12       Impact factor: 6.237

7.  Learning to breathe: control of the inspiratory-expiratory phase transition shifts from sensory- to central-dominated during postnatal development in rats.

Authors:  Mathias Dutschmann; Michael Mörschel; Ilya A Rybak; Thomas E Dick
Journal:  J Physiol       Date:  2009-08-24       Impact factor: 5.182

8.  Vagal-dependent nonlinear variability in the respiratory pattern of anesthetized, spontaneously breathing rats.

Authors:  R R Dhingra; F J Jacono; M Fishman; K A Loparo; I A Rybak; T E Dick
Journal:  J Appl Physiol (1985)       Date:  2011-04-28

9.  Effects of ion channel noise on neural circuits: an application to the respiratory pattern generator to investigate breathing variability.

Authors:  Haitao Yu; Rishi R Dhingra; Thomas E Dick; Roberto F Galán
Journal:  J Neurophysiol       Date:  2016-10-19       Impact factor: 2.714

Review 10.  Computational models and emergent properties of respiratory neural networks.

Authors:  Bruce G Lindsey; Ilya A Rybak; Jeffrey C Smith
Journal:  Compr Physiol       Date:  2012-07       Impact factor: 9.090

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.