Evidence map›Paper›PMID 26972478›Full record

ArticleJournal of theoretical biology2016

Inhibitory and excitatory networks balance cell coupling in the suprachiasmatic nucleus: A modeling approach.

Nathaniel J Kingsbury, Stephanie R Taylor, Michael A Henson

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Expression of the vesicular GABA transporter within neuromedin SProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  2. Article
  3. Article
  4. Review
  5. A systems theoretic approach to analysis and control of mammalian circadian dynamics.Chemical engineering research & design : transactions of the Institution of Chemical Engineers · 2016
    Article
  6. Review
  7. 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

3 authors at 2 institutions in 1 country.

Nathaniel J KingsburyDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA 01007, United States.
Stephanie R TaylorDepartment of Computer Science, Colby College, Waterville, ME 04901, United States.
Michael A HensonDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA 01007, United States. Electronic address: mhenson@engin.umass.edu.
University of Massachusetts Amherst · USColby College · US

Funding

Multiscale Modeling & Analysis of Circadian Rhythm Generation & SynchronizationR01GM078993 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PETZOLD, LINDA R. · 2006 to 2009
$1.2M
MECHANISMS AND MODELING OF NETWORKED CIRCADIAN PACEMAKER SYNCHRONIZATIONR01GM096873 · NIGMS · WASHINGTON UNIVERSITY · PI DOYLE, FRANCIS J, HENSON, MICHAEL · 2011 to 2014
$1.1M
NIGMS NIH HHS 1R01GM096873-01NIGMS NIH HHS GM078993NIGMS NIH HHS R01 GM078993NIGMS NIH HHS R01 GM096873
6 · The paper itself

Abstract

Neuronal coupling contributes to circadian rhythms formation in the suprachiasmatic nucleus (SCN). While the neurotransmitter vasoactive intestinal polypeptide (VIP) is considered essential for synchronizing the oscillations of individual neurons, γ-aminobutyric acid (GABA) does not have a clear functional role despite being highly concentrated in the SCN. While most studies have examined the role of either GABA or VIP, our mathematical modeling approach explored their interplay on networks of SCN neurons. Tuning the parameters that control the release of GABA and VIP enabled us to optimize network synchrony, which was achieved at a peak firing rate during the subjective day of about 7Hz. Furthermore, VIP and GABA modulation could adjust network rhythm amplitude and period without sacrificing synchrony. We also performed simulations of SCN networks to phase shifts during 12h:12h light-dark cycles and showed that GABA networks reduced the average time for the SCN model to re-synchronize. We hypothesized that VIP and GABA balance cell coupling in the SCN to promote synchronization of heterogeneous oscillators while allowing flexibility for adjustment to environmental changes.

Indexed as

Models, NeurologicalAnimalsExcitatory Postsynaptic Potentialsgamma-Aminobutyric AcidHumansInhibitory Postsynaptic PotentialsNerve NetNeuronsSuprachiasmatic NucleusVasoactive Intestinal Peptidegamma-Aminobutyric AcidVasoactive Intestinal PeptideCircadian rhythmsCouplingGamma-aminobutyric acidMathematical modelingSuprachiasmatic nucleus

Identifiers

PMID26972478
PMCPMC4828267
OpenAlexW2294909953

What OpenQuestion holds

Textmetadata
LicenceTDM
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.