Evidence map›Paper›PMID 28009109›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine2017

Computational models of the neural control of breathing.

Yaroslav I Molkov, Jonathan E Rubin, Ilya A Rybak, Jeffrey C Smith

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

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

4 authors.

Yaroslav I Molkov *Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA.
Jonathan E Rubin *Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, USA.
Ilya A Rybak *Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.
Jeffrey C Smith *Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.

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
Multiscale Model of Neural Control of BreathingR01NS069220 · NINDS · DREXEL UNIVERSITY · PI BEN-TAL, ALONA, DICK, THOMAS E · 2010 to 2014
$2.9M
Modeling Brainstem Inflammation's Role in Systemic Dysfunction during SepsisU01EB021960 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI DICK, THOMAS E · 2017 to 2020
$2.6M
CRCNS: Modeling the respiratory-sympathetic coupling in neurogenic hypertensionR01AT008632 · NCCIH · INDIANA UNIVERSITY INDIANAPOLIS · PI MOLKOV, YAROSLAV · 2015 to 2019
$1.4M
NCCIH NIH HHS R01 AT008632NIBIB NIH HHS U01 EB021960NINDS NIH HHS R01 NS069220
6 · The paper itself

Abstract

The ongoing process of breathing underlies the gas exchange essential for mammalian life. Each respiratory cycle ensues from the activity of rhythmic neural circuits in the brainstem, shaped by various modulatory signals, including mechanoreceptor feedback sensitive to lung inflation and chemoreceptor feedback dependent on gas composition in blood and tissues. This paper reviews a variety of computational models designed to reproduce experimental findings related to the neural control of breathing and generate predictions for future experimental testing. The review starts from the description of the core respiratory network in the brainstem, representing the central pattern generator (CPG) responsible for producing rhythmic respiratory activity, and progresses to encompass additional complexities needed to simulate different metabolic challenges, closed-loop feedback control including the lungs, and interactions between the respiratory and autonomic nervous systems. The integrated models considered in this review share a common framework including a distributed CPG core network responsible for generating the baseline three-phase pattern of rhythmic neural activity underlying normal breathing. WIREs Syst Biol Med 2017, 9:e1371. doi: 10.1002/wsbm.1371 For further resources related to this article, please visit the WIREs website.

Indexed as

Models, NeurologicalRespirationAnimalsBrain StemCentral Pattern GeneratorsComputer SimulationPulmonary Gas ExchangePulmonary Ventilation

Identifiers

PMID28009109
PMCPMC5315581

What OpenQuestion holds

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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.