Evidence map›Paper›PMID 27098029›Full record

ArticleJournal of neurophysiology2016

Computational modeling indicates that surface pressure can be reliably conveyed to tactile receptors even amidst changes in skin mechanics.

Yuxiang Wang, Yoshichika Baba, Ellen A Lumpkin, Gregory J Gerling

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of neurophysiology, 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
0.5field-weighted citation impact, top 34% 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, 13 citations in OpenAlex.

  1. Biomechanics of the finger pad in response to torsion.Journal of the Royal Society, Interface · 2023
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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 2 institutions in 1 country.

Yuxiang WangDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia; Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, Virginia;
Yoshichika BabaDepartment of Dermatology, Columbia University College of Physicians & Surgeons, New York, New York; and.
Ellen A LumpkinDepartment of Dermatology, Columbia University College of Physicians & Surgeons, New York, New York; and Department of Physiology & Cellular Biophysics, Columbia University College of Physicians & Surgeons, New York, New York.
Gregory J GerlingDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia; Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia; gg7h@virginia.edu.
Columbia University · USUniversity of Virginia · US

Funding

Peripheral Mechanisms Governing Tactile Encoding During Normal Target RemodelingR01NS073119 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GERLING, GREGORY JOHN, LUMPKIN, ELLEN A · 2010 to 2016
$2.5M
NINDS NIH HHS R01 NS073119
6 · The paper itself

Abstract

Distinct patterns in neuronal firing are observed between classes of cutaneous afferents. Such differences may be attributed to end-organ morphology, distinct ion-channel complements, and skin microstructure, among other factors. Even for just the slowly adapting type I afferent, the skin's mechanics for a particular specimen might impact the afferent's firing properties, especially given the thickness and elasticity of skin can change dramatically over just days. Here, we show computationally that the skin can reliably convey indentation magnitude, rate, and spatial geometry to the locations of tactile receptors even amid changes in skin's structure. Using finite element analysis and neural dynamics models, we considered the skin properties of six mice that span a representative cohort. Modeling the propagation of the surface stimulus to the interior of the skin demonstrated that there can be large variance in stresses and strains near the locations of tactile receptors, which can lead to large variance in static firing rate. However, variance is significantly reduced when the stimulus tip is controlled by surface pressure and compressive stress is measured near the end organs. This particular transformation affords the least variability in predicted firing rates compared with others derived from displacement, force, strain energy density, or compressive strain. Amid changing skin mechanics, stimulus control by surface pressure may be more naturalistic and optimal and underlie how animals actively explore the tactile environment.

Indexed as

Computer SimulationModels, BiologicalPressureSkin Physiological PhenomenaAction PotentialsAnimalsBiomechanical PhenomenaFemaleFinite Element AnalysisMechanoreceptorsMice, TransgenicSkinTissue Culture Techniquesbiomechanicselectrophysiologyfinite element analysismechanotransductionslowly adapting type I afferenttactiletouch

Identifiers

PMID27098029
PMCPMC4961760
OpenAlexW2339316280

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.