Evidence map›Paper›PMID 36445228›Full record

ArticleJournal of biomechanical engineering2023

The Reversal Characteristics of GABAergic Neurons: A Neurovascular Model.

Tim David, Robin Morillo, Clare Howarth, Jason Berwick, Llywelyn Lee

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanical engineering, 2023. 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
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 3 countries.

Tim DavidDepartment of Mechanical Engineering, University of Canterbury, Christchurch 8041, New Zealand.
Robin MorilloDepartment of Mathematics, North Carolina State University, Raleigh, NC 27607.
Clare HowarthDepartment of Psychology, University of Sheffield, Sheffield S10 2TN, UK.
Jason BerwickDepartment of Psychology, University of Sheffield, Sheffield S10 2TN, UK.
Llywelyn LeeDepartment of Psychology, University of Sheffield, Sheffield S10 2TN, UK.
University of Sheffield · GBNorth Carolina State University · USUniversity of Canterbury · NZ

Funding

Medical Research Council MR/M013553/1Wellcome Trust 105586Wellcome Trust 105586/Z/14/Z
6 · The paper itself

Abstract

Neurovascular coupling (NVC) is the ability to locally adjust vascular resistance as a function of neuronal activity. Recent experiments have illustrated that NVC is partially independent of metabolic signals. In addition, nitric oxide (NO) has been shown in some instances to provide an important mechanism in altering vascular resistance. An extension to the original model of NVC [1] has been developed to include the activation of both somatosensory neurons and GABAergic interneurons and to investigate the role of NO and the delicate balance of GABA and neuronal peptide enzymes (NPY) pathways. The numerical model is compared to murine experimental data that provides time-dependent profiles of oxy, de-oxy, and total-hemoglobin. The results indicate a delicate balance that exists between GABA and NPY when nNOS interneurons are activated mediated by NO. Whereas somatosensory neurons (producing potassium into the extracellular space) do not seem to be effected by the inhibition of NO. Further work will need to be done to investigate the role of NO when stimulation periods are increased substantially from the short pulses of 2 s as used in the above experiments.

Indexed as

GABAergic NeuronsNeurovascular CouplingAnimalsgamma-Aminobutyric AcidInterneuronsMicegamma-Aminobutyric Acid

Identifiers

PMID36445228
PMCPMC7615696
OpenAlexW4310459382

What OpenQuestion 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 OpenQuestion graph.