Evidence map›Paper›PMID 23076109›Full record

ArticleJournal of neurophysiology2013

Patterns of inspiratory phase-dependent activity in the in vitro respiratory network.

Michael S Carroll, Jean-Charles Viemari, Jan-Marino Ramirez

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2013. 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
1.6field-weighted citation impact, top 18% 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

39 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Inspiratory rhythm generation is stabilized byJournal of neurophysiology · 2022
    Article
  8. Dynamic Rhythmogenic Network States Drive Differential Opioid Responses in theThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. A spatially dynamic network underlies the generation of inspiratory behaviors.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  17. Article
  18. Review
  19. Review
  20. Breathing matters.Nature reviews. Neuroscience · 2018
    Review
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

3 authors at 2 institutions in 2 countries.

Michael S CarrollCenter for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA 98101, USA. mscarroll@luriechildrens.org
Jean-Charles Viemari
Jan-Marino Ramirez
Institut de Neurosciences de la Timone · FRUniversity of Washington · US

Funding

HYPOXIC EFFECTS ON MAMMALIAN RESPIRATORY NEURAL NETWORKR01HL060120 · NHLBI · UNIVERSITY OF CHICAGO · PI RAMIREZ, JAN M. · 1999 to 2010
$2.7M
Mechanisms underlying neuromodulation-induced breathing instabilityR01HL107084 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI RAMIREZ, JAN M. · 2011 to 2014
$2.6M
Mouse Models of Alexander DiseaseR01NS060120 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI MESSING, ALBEE · 2007 to 2011
$1.9M
NHLBI NIH HHS P01 HL090544NHLBI NIH HHS R01 HL107084NHLBI NIH HHS R01 HL107084-01NHLBI NIH HHS R01 HL/NS60120NINDS NIH HHS R01 NS060120
6 · The paper itself

Abstract

Mechanistic descriptions of rhythmogenic neural networks have often relied on ball-and-stick diagrams, which define interactions between functional classes of cells assumed to be reasonably homogenous. Application of this formalism to networks underlying respiratory rhythm generation in mammals has produced increasingly intricate models that have generated significant insight, but the underlying assumption that individual cells within these network fall into distinct functional classes has not been rigorously tested. In the present study we used multiunit extracellular recording in the in vitro pre-Bötzinger complex to identify and characterize the rhythmic activity of 951 cells. Inspiratory phase-dependent activity was estimated for all cells, and the data set as a whole was analyzed with principal component analysis, nonlinear dimensionality reduction, and hierarchical clustering techniques. None of these techniques revealed categorically distinct functional cell classes, indicating instead that the behavior of these cells within the network falls along several continua of spiking behavior.

Indexed as

Action PotentialsAnimalsBrain StemCluster AnalysisInhalationIn Vitro TechniquesMiceNerve NetNeuronsRespiratory System

Identifiers

PMID23076109
PMCPMC3545453
OpenAlexW2044365877

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.