Evidence map›Paper›PMID 18579654›Full record

ArticleJournal of neurophysiology2008

Using a model to assess the role of the spatiotemporal pattern of inhibitory input and intrasegmental electrical coupling in the intersegmental and side-to-side coordination of motor neurons by the leech heartbeat central pattern generator.

Paul S García, Terrence M Wright, Ian R Cunningham, Ronald L Calabrese

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Comodulation of h- and NaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  2. The neural control of heartbeat in invertebrates.Current opinion in neurobiology · 2016
    Review
  3. Mechanisms of coordination in distributed neural circuits: decoding and integration of coordinating information.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Article
  4. Article
  5. Centrally patterned rhythmic activity integrated by a peripheral circuit linking multiple oscillators.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2012
    Article
  6. Small is beautiful: models of small neuronal networks.Current opinion in neurobiology · 2012
    Review
  7. Coping with variability in small neuronal networks.Integrative and comparative biology · 2011
    Review
  8. Patterns of presynaptic activity and synaptic strength interact to produce motor output.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011
    Article
  9. Article
  10. Article
  11. Constancy and variability in the output of a central pattern generator.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011
    Article
  12. Article
  13. 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

4 authors at 1 institution in 1 country.

Paul S GarcíaDepartment of Biology, Emory University, Atlanta, GA 30322, USA.
Terrence M Wright
Ian R Cunningham
Ronald L Calabrese
Emory University · US

Funding

NEUROMODULATORY INFLUENCES ON MOTOR SYSTEMSR01NS024072 · NINDS · EMORY UNIVERSITY · PI CALABRESE, RONALD L · 1985 to 2011
$3.6M
Quality of Care and Outcomes for Depressed AdolescentsK23MH001882 · NIMH · UNIVERSITY OF ARKANSAS MED SCIS LTL ROCK · PI KRAMER, TERESA L · 2001 to 2005
$804k
NIMH NIH HHS 5 T06 MH-1882NINDS NIH HHS NS-24072NINDS NIH HHS R01 NS024072
6 · The paper itself

Abstract

Previously we presented a quantitative description of the spatiotemporal pattern of inhibitory synaptic input from the heartbeat central pattern generator (CPG) to segmental motor neurons that drive heartbeat in the medicinal leech and the resultant coordination of CPG interneurons and motor neurons. To begin elucidating the mechanisms of coordination, we explore intersegmental and side-to-side coordination in an ensemble model of all heart motor neurons and their known synaptic inputs and electrical coupling. Model motor neuron intrinsic properties were kept simple, enabling us to determine the extent to which input and electrical coupling acting together can account for observed coordination in the living system in the absence of a substantive contribution from the motor neurons themselves. The living system produces an asymmetric motor pattern: motor neurons on one side fire nearly in synchrony (synchronous), whereas on the other they fire in a rear-to-front progression (peristaltic). The model reproduces the general trends of intersegmental and side-to-side phase relations among motor neurons, but the match with the living system is not quantitatively accurate. Thus realistic (experimentally determined) inputs do not produce similarly realistic output in our model, suggesting that motor neuron intrinsic properties may contribute to their coordination. By varying parameters that determine electrical coupling, conduction delays, intraburst synaptic plasticity, and motor neuron excitability, we show that the most important determinant of intersegmental and side-to-side phase relations in the model was the spatiotemporal pattern of synaptic inputs, although phasing was influenced significantly by electrical coupling.

Indexed as

Models, BiologicalAction PotentialsAnimalsDose-Response Relationship, RadiationElectrical SynapsesElectric StimulationHeart Conduction SystemHeart RateInterneuronsLeechesMembrane PotentialsMotor NeuronsNeural Inhibition

Identifiers

PMID18579654
PMCPMC2544471
OpenAlexW2114338097

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.