Evidence map›Paper›PMID 29903620›Full record

ReviewBrain research2018

Computational motility models of neurogastroenterology and neuromodulation.

Bradley B Barth, Xiling Shen

Abstract readReview
In one paragraph

Review in Brain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Bradley B BarthDepartment of Biomedical Engineering, Duke University, Room 2141, CIEMAS, 101 Science Drive, Durham, NC, USA. Electronic address: bradley.barth@duke.edu.
Xiling ShenDepartment of Biomedical Engineering, Duke University, Room 2167, CIEMAS, 101 Science Drive, Durham, NC, USA. Electronic address: xiling.shen@duke.edu.
Duke University · US

Funding

Functional mapping of efferent gut neuroepithelial circuitsOT2OD023849 · OD · DUKE UNIVERSITY · PI SHEN, XILING · 2016 to 2016
$493k
NIH HHS OT2 OD023849
6 · The paper itself

Abstract

The success of neuromodulation therapies, particularly in the brain, spinal cord, and peripheral nerves, has been greatly aided by computational, biophysical models. However, treating gastrointestinal disorders with electrical stimulation has been much less explored, partly because the mode of action of such treatments is unclear, and selection of stimulation parameters is often empirical. Progress in gut neuromodulation is limited by the comparative lack of biophysical models capable of simulating neuromodulation of gastrointestinal function. Here, we review the recently developed biophysical models of electrically-active cells in the gastrointestinal system that contribute to motility. Biophysical models are replacing phenomenologically-defined models due to advancements in electrophysiological characterization of key players in the gut: enteric neurons, smooth muscle fibers, and interstitial cells of Cajal. In this review, we explore existing biophysically-defined cellular and network models that contribute to gastrointestinal motility. We focus on recent models that are laying the groundwork for modeling electrical stimulation of the gastrointestinal system. Developing models of gut neuromodulation will improve our mechanistic understanding of these treatments, leading to better parameterization, selectivity, and efficacy of neuromodulation to treat gastrointestinal disorders. Such models may have direct clinical translation to current neuromodulation therapies, such as sacral nerve stimulation.

Indexed as

Computer SimulationAnimalsBiophysical PhenomenaElectric StimulationEnteric Nervous SystemGastrointestinal MotilityHumansNeurotransmitter AgentsNeurotransmitter AgentsComputational modelElectroceuticalsEnteric nervous systemNeurogastroenterologyNeuromodulation

Identifiers

PMID29903620
PMCPMC6671680
OpenAlexW2808036911

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.