Evidence map›Paper›PMID 19193773›Full record

ArticleJournal of neurophysiology2009

Multiple rhythmic states in a model of the respiratory central pattern generator.

Jonathan E Rubin, Natalia A Shevtsova, G Bard Ermentrout, Jeffrey C Smith, Ilya A Rybak

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 162 citations in OpenAlex.

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  16. Dynamics of ramping bursts in a respiratory neuron model.Journal of computational neuroscience · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. Review

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jonathan E RubinDept. of Mathematics, Univ. of Pittsburgh, Pittsburgh, PA, USA. rubin@math.pitt.edu
Natalia A Shevtsova
G Bard Ermentrout
Jeffrey C Smith
Ilya A Rybak
University of Pittsburgh · US

Funding

Multi-Scale Models of Neural Mechanisms Controlling Breathing in MammalsZIANS003108 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI SMITH, JEFFREY C · 2009 to 2023
$7.5M
Spinal Control of Locomotion: Studies and ApplicationsR01NS048844 · NINDS · DREXEL UNIVERSITY · PI RYBAK, ILYA A · 2006 to 2010
$2.2M
CRCNS: State dependent neural mechanisms for respiratory pattern generationR01NS057815 · NINDS · DREXEL UNIVERSITY · PI RYBAK, ILYA A · 2006 to 2010
$1.4M
Modeling of pathogenic breathing pattern dysregulation in cardiopulmonary diseaseR33HL087379 · NHLBI · DREXEL UNIVERSITY · PI RYBAK, ILYA A · 2008 to 2010
$561k
NHLBI NIH HHS R33 HL087379NINDS NIH HHS R01 NS048844NINDS NIH HHS R01 NS057815
6 · The paper itself

Abstract

The three-phase respiratory pattern observed during normal breathing changes with alterations in metabolic or physiological conditions. A recent study using in situ perfused rat brain preparations demonstrated a reorganization of the respiratory pattern with sequential reduction of the brain stem respiratory network. Specifically, with removal of the pons, the normal three-phase pattern transformed to a two-phase inspiratory-expiratory pattern and, with more caudal transections, to one-phase, intrinsically generated inspiratory oscillations. A minimal neural network proposed to reproduce these transformations includes 1) a ringlike mutually inhibitory network composed of the postinspiratory, augmenting expiratory, and early-inspiratory neurons and 2) an excitatory preinspiratory neuron, with persistent sodium current (I(NaP))-dependent intrinsic bursting properties, that dynamically participates in the expiratory-inspiratory phase transition and inspiratory phase generation. We used activity-based single-neuron models and applied numerical simulations, bifurcation methods, and fast-slow decomposition to describe the behavior of this network in the functional states corresponding to the three-, two-, and one-phase oscillatory regimes, as well as to analyze the transitions between states and between respiratory phases within each state. We demonstrate that, although I(NaP) is not necessary for the generation of three- and two-phase oscillations, it contributes to control of the oscillation period in each state. We also show that the transitions between states can be produced by progressive changes of drives to particular neurons and proceed through intermediate regimes, featuring high-amplitude late-expiratory and biphasic-expiratory activities or ectopic burst generation. Our results provide important insights for understanding the state-dependent mechanisms for respiratory rhythm generation and control.

Indexed as

Models, NeurologicalPeriodicityAnimalsComputer SimulationNerve NetNeural InhibitionNeuronsNonlinear DynamicsRespiratory CenterRespiratory MechanicsRespiratory System

Identifiers

PMID19193773
PMCPMC2695631
OpenAlexW2145184960

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.