Literature DB >> 8714653

Electroresponsive properties and membrane potential trajectories of three types of inspiratory neurons in the newborn mouse brain stem in vitro.

J C Rekling1, J Champagnat, M Denavit-Saubié.   

Abstract

1. The electrophysiological properties of inspiratory neurons were studied in a rhythmically active thick-slice preparation of the newborn mouse brain stem maintained in vitro. Whole cell patch recordings were performed from 60 inspiratory neurons within the rostral ventrolateral part of the slice with the aim of extending the classification of inspiratory neurons to include analysis of active membrane properties. 2. The slice generated a regular rhythmic motor output recorded as burst of action potentials on a XII nerve root with a peak to peak time of 11.5 +/- 3.4 s and a duration of 483 +/- 54 ms (means +/- SD, n = 50). Based on the electroresponsive properties and membrane potential trajectories throughout the respiratory cycle, three types of inspiratory neurons could be distinguished. 3. Type-1 neurons were spiking in the interval between the inspiratory potentials (n = 9) or silent with a resting membrane potential of -48.6 +/- 10.1 mV and an input resistance of 306 +/- 130 M omega (n = 15). The spike activity between the inspiratory potentials was burst-like with spikes riding on top of an underlying depolarization (n = 11) or regular with no evidence of bursting (n = 12). Hyperpolarization of the neurons below threshold for spike initiation did not reveal any underlying phasic synaptic activity, that could explain the bursting behavior. 4. Type-1 neurons showed delayed excitation after hyperpolarizing square current pulses or when the neurons were depolarized from a hyperpolarized level. This membrane behavior resembles the response seen in other CNS neurons expressing an IA. The response to 1-s long depolarizing pulses with a large current strength showed signs of activation of an active depolarizing membrane response leading to a transient reduction in the spike amplitude. The relationship between the membrane potential and the amplitude of square current pulses (Vm-I) showed a small upward rectification below -70 mV, and spike adaptation throughout a 1-s pulse had a largely linear time course. 5. Type-1 neurons depolarized and started to fire spikes 398 +/- 102 ms (n = 20) before the upstroke of the integrated XII nerve discharge. The inspiratory potential was followed by fast hyperpolarization, a short fast-repolarizing phase (1,040 +/- 102 ms, n = 5) and a longer slow-repolarizing phase (lasting until the next inspiratory discharge). 6. Type-2 neurons were spiking in the interval between the inspiratory potentials with no evidence of bursting behavior and had an input resistance of 296 +/- 212 M omega (n = 26). The response to hyperpolarizing pulses revealed an initial sag and postinhibitory rebound depolarization. This membrane behavior resembles the response seen in other CNS neurons expressing an Ih. The Vm-I relationship was linear at depolarized potentials and showed a marked upward rectification below -60 mV. Spike trains elicited by 1-s long pulses showed a pronounced early and late adaptation. 7. Type-2 neurons depolarized and started to fire spikes 171 +/- 87 ms (n = 23) before the upstroke of the integrated XII nerve discharge. The inspiratory potential had a variable amplitude from cell to cell and was followed by a short hyperpolarization in the cells displaying a large amplitude inspiratory potential.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1996        PMID: 8714653     DOI: 10.1152/jn.1996.75.2.795

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  47 in total

1.  An ionic current model for medullary respiratory neurons.

Authors:  A Athanasiades; J W Clark; F Ghorbel; A Bidani
Journal:  J Comput Neurosci       Date:  2000 Nov-Dec       Impact factor: 1.621

2.  Neuronal death and perinatal lethality in voltage-gated sodium channel alpha(II)-deficient mice.

Authors:  R Planells-Cases; M Caprini; J Zhang; E M Rockenstein; R R Rivera; C Murre; E Masliah; M Montal
Journal:  Biophys J       Date:  2000-06       Impact factor: 4.033

3.  Electrical coupling and excitatory synaptic transmission between rhythmogenic respiratory neurons in the preBötzinger complex.

Authors:  J C Rekling; X M Shao; J L Feldman
Journal:  J Neurosci       Date:  2000-12-01       Impact factor: 6.167

4.  Phasic vagal sensory feedback transforms respiratory neuron activity in vitro.

Authors:  N M Mellen; J L Feldman
Journal:  J Neurosci       Date:  2001-09-15       Impact factor: 6.167

5.  Opioid-induced quantal slowing reveals dual networks for respiratory rhythm generation.

Authors:  Nicholas M Mellen; Wiktor A Janczewski; Christopher M Bocchiaro; Jack L Feldman
Journal:  Neuron       Date:  2003-03-06       Impact factor: 17.173

Review 6.  Looking for inspiration: new perspectives on respiratory rhythm.

Authors:  Jack L Feldman; Christopher A Del Negro
Journal:  Nat Rev Neurosci       Date:  2006-03       Impact factor: 34.870

7.  Calcium-activated nonspecific cation current and synaptic depression promote network-dependent burst oscillations.

Authors:  Jonathan E Rubin; John A Hayes; Jeffrey L Mendenhall; Christopher A Del Negro
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-05       Impact factor: 11.205

8.  Physiological and morphological properties of Dbx1-derived respiratory neurons in the pre-Botzinger complex of neonatal mice.

Authors:  Maria Cristina D Picardo; Krishanthi T H Weragalaarachchi; Victoria T Akins; Christopher A Del Negro
Journal:  J Physiol       Date:  2013-03-04       Impact factor: 5.182

9.  Emergence of population bursts from simultaneous activation of small subsets of preBötzinger complex inspiratory neurons.

Authors:  Kaiwen Kam; Jason W Worrell; Cathie Ventalon; Valentina Emiliani; Jack L Feldman
Journal:  J Neurosci       Date:  2013-02-20       Impact factor: 6.167

Review 10.  Breathing matters.

Authors:  Christopher A Del Negro; Gregory D Funk; Jack L Feldman
Journal:  Nat Rev Neurosci       Date:  2018-06       Impact factor: 34.870

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