Literature DB >> 8833074

An investigation of the mechanics of tactile sense using two-dimensional models of the primate fingertip.

M A Srinivasan1, K Dandekar.   

Abstract

Tactile information about an object in contact with the skin surface is contained in the spatio-temporal load distribution on the skin, the corresponding stresses and strains at mechanosensitive receptor locations within the skin, and the associated pattern of electrical impulses produced by the receptor population. At present, although the responses of the receptors to known stimuli can be recorded, no experimental techniques exist to observe either the load distribution on the skin or the corresponding stress-state at the receptor locations. In this paper, the role of mechanics in the neural coding of tactile information is investigated using simple models of the primate fingertip. Four models that range in geometry from a semi-infinite medium to a cylindrical finger with a rigid bone, and composed of linear elastic media, are analyzed under plane strain conditions using the finite element method. The results show that the model geometry has a significant influence on the surface load distribution as well as the subsurface stress and strain fields for a given mechanical stimulus. The elastic medium acts like a spatial low pass filter with the property that deeper the receptor location, the more blurred the tactile information. None of the models predicted the experimentally observed surface deflection profiles under line loads as closely as a simple heterogeneous waterbed model that treated the fingerpad as a membrane enclosing an incompressible fluid (Srinivasan, 1989). This waterbed model, however, predicted a uniform state of stress inside the fingertip and thus failed to explain the spatial variations observed in the neural response. For the cylindrical model indented by rectangular gratings, the maximum compressive strain and strain energy density at typical receptor locations emerged as the two strain measures that were directly related to the electrophysiologically recorded response rate of slowly adapting type I (SAI) mechanoreceptors. Strain energy density is a better candidate to be the relevant stimulus for SAIs, since it is a scalar that is invariant with respect to receptor orientations and is a direct measure of the distortion of the receptor caused by the loads imposed on the skin.

Mesh:

Year:  1996        PMID: 8833074     DOI: 10.1115/1.2795945

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  17 in total

1.  Velocity invariance of receptive field structure in somatosensory cortical area 3b of the alert monkey.

Authors:  J J DiCarlo; K O Johnson
Journal:  J Neurosci       Date:  1999-01-01       Impact factor: 6.167

2.  Control of grip force when tilting objects: effect of curvature of grasped surfaces and applied tangential torque.

Authors:  A W Goodwin; P Jenmalm; R S Johansson
Journal:  J Neurosci       Date:  1998-12-15       Impact factor: 6.167

3.  Effect of skin hydration on the dynamics of fingertip gripping contact.

Authors:  T André; V Lévesque; V Hayward; P Lefèvre; J-L Thonnard
Journal:  J R Soc Interface       Date:  2011-04-13       Impact factor: 4.118

4.  Viscoelastic characterization of the primate finger pad in vivo by microstep indentation and three-dimensional finite element models for tactile sensation studies.

Authors:  Siddarth Kumar; Gang Liu; David W Schloerb; Mandayam A Srinivasan
Journal:  J Biomech Eng       Date:  2015-03-18       Impact factor: 2.097

5.  Contact mechanics of the human finger pad under compressive loads.

Authors:  Brygida M Dzidek; Michael J Adams; James W Andrews; Zhibing Zhang; Simon A Johnson
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

6.  Determining the biomechanics of touch sensation in C. elegans.

Authors:  Muna Elmi; Vijay M Pawar; Michael Shaw; David Wong; Haoyun Zhan; Mandayam A Srinivasan
Journal:  Sci Rep       Date:  2017-09-26       Impact factor: 4.379

7.  Tactile discrimination of edge shape: limits on spatial resolution imposed by parameters of the peripheral neural population.

Authors:  H E Wheat; A W Goodwin
Journal:  J Neurosci       Date:  2001-10-01       Impact factor: 6.167

8.  Peripheral neural mechanisms determining the orientation of cylinders grasped by the digits.

Authors:  M J Dodson; A W Goodwin; A S Browning; H M Gehring
Journal:  J Neurosci       Date:  1998-01-01       Impact factor: 6.167

9.  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

10.  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

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