Literature DB >> 27098029

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

Yuxiang Wang1, Yoshichika Baba2, Ellen A Lumpkin3, Gregory J Gerling4.   

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.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  biomechanics; electrophysiology; finite element analysis; mechanotransduction; slowly adapting type I afferent; tactile; touch

Mesh:

Year:  2016        PMID: 27098029      PMCID: PMC4961760          DOI: 10.1152/jn.00624.2015

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  36 in total

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Authors:  K O Johnson
Journal:  Curr Opin Neurobiol       Date:  2001-08       Impact factor: 6.627

2.  Nonlinear and viscoelastic characteristics of skin under compression: experiment and analysis.

Authors:  John Z Wu; Ren G Dong; W Paul Smutz; Aaron W Schopper
Journal:  Biomed Mater Eng       Date:  2003       Impact factor: 1.300

3.  A structural fingertip model for simulating of the biomechanics of tactile sensation.

Authors:  J Z Wu; R G Dong; S Rakheja; A W Schopper; W P Smutz
Journal:  Med Eng Phys       Date:  2004-03       Impact factor: 2.242

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Authors:  F Vega-Bermudez; K O Johnson; S S Hsiao
Journal:  J Neurophysiol       Date:  1991-03       Impact factor: 2.714

5.  Synthetic interstitial fluid for isolated mammalian tissue.

Authors:  A H Bretag
Journal:  Life Sci       Date:  1969-03-01       Impact factor: 5.037

6.  Encoding of object curvature by tactile afferents from human fingers.

Authors:  A W Goodwin; V G Macefield; J W Bisley
Journal:  J Neurophysiol       Date:  1997-12       Impact factor: 2.714

7.  Validating a population model of tactile mechanotransduction of slowly adapting type I afferents at levels of skin mechanics, single-unit response and psychophysics.

Authors:  Gregory J Gerling; Isabelle I Rivest; Daine R Lesniak; Jacob R Scanlon; Lingtian Wan
Journal:  IEEE Trans Haptics       Date:  2014 Apr-Jun       Impact factor: 2.487

8.  A continuum mechanical model of mechanoreceptive afferent responses to indented spatial patterns.

Authors:  Arun P Sripati; Sliman J Bensmaia; Kenneth O Johnson
Journal:  J Neurophysiol       Date:  2006-02-15       Impact factor: 2.714

9.  Hyperelastic Material Properties of Mouse Skin under Compression.

Authors:  Yuxiang Wang; Kara L Marshall; Yoshichika Baba; Gregory J Gerling; Ellen A Lumpkin
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

10.  Epidermal Merkel cells are mechanosensory cells that tune mammalian touch receptors.

Authors:  Srdjan Maksimovic; Masashi Nakatani; Yoshichika Baba; Aislyn M Nelson; Kara L Marshall; Scott A Wellnitz; Pervez Firozi; Seung-Hyun Woo; Sanjeev Ranade; Ardem Patapoutian; Ellen A Lumpkin
Journal:  Nature       Date:  2014-04-06       Impact factor: 49.962

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  6 in total

1.  Neurodynamic analysis of Merkel cell-neurite complex transduction mechanism during tactile sensing.

Authors:  Mengqiu Yao; Rubin Wang
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2.  Individual differences impacting skin deformation and tactile discrimination with compliant elastic surfaces.

Authors:  Bingxu Li; Gregory J Gerling
Journal:  World Haptics Conf       Date:  2021-08-23

3.  Touch Receptors Undergo Rapid Remodeling in Healthy Skin.

Authors:  Kara L Marshall; Rachel C Clary; Yoshichika Baba; Rachel L Orlowsky; Gregory J Gerling; Ellen A Lumpkin
Journal:  Cell Rep       Date:  2016-11-08       Impact factor: 9.423

4.  Using Digital Image Correlation to Quantify Skin Deformation With Von Frey Monofilaments.

Authors:  Anika R Kao; Chang Xu; Gregory J Gerling
Journal:  IEEE Trans Haptics       Date:  2022-03-18       Impact factor: 3.105

5.  Computation predicts rapidly adapting mechanotransduction currents cannot account for tactile encoding in Merkel cell-neurite complexes.

Authors:  Gregory J Gerling; Lingtian Wan; Benjamin U Hoffman; Yuxiang Wang; Ellen A Lumpkin
Journal:  PLoS Comput Biol       Date:  2018-06-29       Impact factor: 4.475

6.  An elasticity-curvature illusion decouples cutaneous and proprioceptive cues in active exploration of soft objects.

Authors:  Chang Xu; Yuxiang Wang; Gregory J Gerling
Journal:  PLoS Comput Biol       Date:  2021-03-22       Impact factor: 4.475

  6 in total

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