Evidence map›Paper›PMID 39083544›Full record

ArticlePLoS computational biology2024

Population bursts in a modular neural network as a mechanism for synchronized activity in KNDy neurons.

Wilfredo Blanco, Joel Tabak, Richard Bertram

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Wilfredo BlancoDepartment of Computer Science, State University of Rio Grande do Norte, Natal, Brazil.ORCID 0000-0002-2981-1291
Joel TabakDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, United Kingdom.
Richard BertramDepartment of Mathematics and Programs in Molecular Biophysics and Neuroscience, Florida State University, Tallahassee, Florida, United States of America.ORCID 0000-0001-8577-2592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pulsatile activity of gonadotropin-releasing hormone neurons (GnRH neurons) is a key factor in the regulation of reproductive hormones. This pulsatility is orchestrated by a network of neurons that release the neurotransmitters kisspeptin, neurokinin B, and dynorphin (KNDy neurons), and produce episodic bursts of activity driving the GnRH neurons. We show in this computational study that the features of coordinated KNDy neuron activity can be explained by a neural network in which connectivity among neurons is modular. That is, a network structure consisting of clusters of highly-connected neurons with sparse coupling among the clusters. This modular structure, with distinct parameters for intracluster and intercluster coupling, also yields predictions for the differential effects on synchronization of changes in the coupling strength within clusters versus between clusters.

Indexed as

DynorphinsGonadotropin-Releasing HormoneModels, NeurologicalNerve NetNeuronsAction PotentialsAnimalsComputational BiologyComputer SimulationHumansKisspeptinsNeurokinin BDynorphinsGonadotropin-Releasing HormoneKisspeptinsNeurokinin B

Identifiers

PMID39083544
PMCPMC11318907

What Socratic 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 Socratic graph.