Evidence map›Paper›PMID 22934020›Full record

ArticleFrontiers in physiology2012

A joint computational respiratory neural network-biomechanical model for breathing and airway defensive behaviors.

Russell O'Connor, Lauren S Segers, Kendall F Morris, Sarah C Nuding, Teresa Pitts, Donald C Bolser, Paul W Davenport, Bruce G Lindsey

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Article
  8. Article
  9. Computational models of the neural control of breathing.Wiley interdisciplinary reviews. Systems biology and medicine · 2017
    Review
  10. Cough modulation by upper airway stimuli in cat - potential clinical application?Open journal of molecular and integrative physiology · 2016
    Article
  11. Article
  12. Review
  13. Peripheral neural circuitry in cough.Current opinion in pharmacology · 2015
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Motor circuit-specific burst patterns drive different muscle and behavior patterns.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
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

8 authors at 2 institutions in 1 country.

Russell O'ConnorDepartment of Molecular Pharmacology and Physiology, Morsani College of Medicine, University of South Florida Tampa, FL, USA.
Lauren S Segers
Kendall F Morris
Sarah C Nuding
Teresa Pitts
Donald C Bolser
Paul W Davenport
Bruce G Lindsey
University of South Florida · USUniversity of Florida · US

Funding

BRAINSTEM RESPIRATORY NEURON INTERACTIONSR01NS019814 · NINDS · UNIVERSITY OF SOUTH FLORIDA · PI LINDSEY, BRUCE G · 1985 to 2015
$3.6M
Brainstem Respiratory Neuron InteractionsR37NS019814 · NINDS · UNIVERSITY OF SOUTH FLORIDA · PI LINDSEY, BRUCE G · 2004 to 2010
$3.6M
Mechanisms of Swallow Control of BreathingR01HL109025 · NHLBI · UNIVERSITY OF FLORIDA · PI DAVENPORT, PAUL W, MORRIS, KENDALL FRANCIS · 2012 to 2015
$2.9M
Central Mechanisms of Airway ProtectionR01HL103415 · NHLBI · UNIVERSITY OF FLORIDA · PI BOLSER, DONALD C, DAVENPORT, PAUL W · 2010 to 2013
$2.2M
Neurogenesis of CoughR33HL089104 · NHLBI · UNIVERSITY OF FLORIDA · PI BOLSER, DONALD C · 2008 to 2010
$1.6M
Neurogenesis of CoughR33HL089071 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI MORRIS, KENDALL FRANCIS · 2008 to 2010
$732k
NHLBI NIH HHS R01 HL103415NHLBI NIH HHS R01 HL109025NHLBI NIH HHS R33 HL089071NHLBI NIH HHS R33 HL089104NINDS NIH HHS R01 NS019814NINDS NIH HHS R37 NS019814
6 · The paper itself

Abstract

Data-driven computational neural network models have been used to study mechanisms for generating the motor patterns for breathing and breathing related behaviors such as coughing. These models have commonly been evaluated in open loop conditions or with feedback of lung volume simply represented as a filtered version of phrenic motor output. Limitations of these approaches preclude assessment of the influence of mechanical properties of the musculoskeletal system and motivated development of a biomechanical model of the respiratory muscles, airway, and lungs using published measures from human subjects. Here we describe the model and some aspects of its behavior when linked to a computational brainstem respiratory network model for breathing and airway defensive behavior composed of discrete "integrate and fire" populations. The network incorporated multiple circuit paths and operations for tuning inspiratory drive suggested by prior work. Results from neuromechanical system simulations included generation of a eupneic-like breathing pattern and the observation that increased respiratory drive and operating volume result in higher peak flow rates during cough, even when the expiratory drive is unchanged, or when the expiratory abdominal pressure is unchanged. Sequential elimination of the model's sources of inspiratory drive during cough also suggested a role for disinhibitory regulation via tonic expiratory neurons, a result that was subsequently supported by an analysis of in vivo data. Comparisons with antecedent models, discrepancies with experimental results, and some model limitations are noted.

Indexed as

biomechanical modelbrainstembreathingchest wall dynamicscomputational neural network modelcoughinspiratory driveneuromechanical model simulation

Identifiers

PMID22934020
PMCPMC3429040
OpenAlexW2008750525

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.