Literature DB >> 18344148

Fingerprint lines may not directly affect SA-I mechanoreceptor response.

Gregory J Gerling1, Geb W Thomas.   

Abstract

Understanding how skin microstructure affects slowly adapting type I (SA-I) mechanoreceptors in encoding edge discontinuities is fundamental to understanding our sense of touch. Skin microstructure, in particular papillary ridges, has been thought to contribute to edge and gap sensation. Cauna's 1954 model of touch sensibility describes a functional relationship between papillary ridges and edge sensation. His lever arm model proposes that the papillary ridge (exterior fingerprint line) and underlying intermediate ridge operate as a single unit, with the intermediate ridge acting as a lever which magnifies indentation imposed at the papillary ridge. This paper contests the validity of the lever arm model. While correctly representing the anatomy, this mechanism inaccurately characterizes the function of the papillary ridges. Finite element analysis and assessment of the critical anatomy indicate that papillary ridges have little direct effect on how SA-I receptors respond to the indentation of static edges. Our analysis supports a revised (stiff shell-elastic bending support) interpretation where the epidermis is split into two major layers with a stiff, deformable shell over an elastic bending support. Recent physiological, electrophysiological, and psychophysical findings support our conclusion that the function of the intermediate ridge is distinct from the function of the papillary ridge.

Mesh:

Year:  2008        PMID: 18344148     DOI: 10.1080/08990220701838996

Source DB:  PubMed          Journal:  Somatosens Mot Res        ISSN: 0899-0220            Impact factor:   1.111


  10 in total

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

Authors:  Mengqiu Yao; Rubin Wang
Journal:  Cogn Neurodyn       Date:  2018-09-22       Impact factor: 5.082

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

Authors:  Yuxiang Wang; Yoshichika Baba; Ellen A Lumpkin; Gregory J Gerling
Journal:  J Neurophysiol       Date:  2016-04-20       Impact factor: 2.714

3.  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

4.  Predicting SA-I mechanoreceptor spike times with a skin-neuron model.

Authors:  Daine R Lesniak; Gregory J Gerling
Journal:  Math Biosci       Date:  2009-04-09       Impact factor: 2.144

5.  Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuli.

Authors:  Elmer K Kim; Scott A Wellnitz; Sarah M Bourdon; Ellen A Lumpkin; Gregory J Gerling
Journal:  J Neuroeng Rehabil       Date:  2012-07-23       Impact factor: 4.262

Review 6.  The cell biology of touch.

Authors:  Ellen A Lumpkin; Kara L Marshall; Aislyn M Nelson
Journal:  J Cell Biol       Date:  2010-10-18       Impact factor: 10.539

7.  The effect of surface wave propagation on neural responses to vibration in primate glabrous skin.

Authors:  Louise R Manfredi; Andrew T Baker; Damian O Elias; John F Dammann; Mark C Zielinski; Vicky S Polashock; Sliman J Bensmaia
Journal:  PLoS One       Date:  2012-02-13       Impact factor: 3.240

8.  Natural Variation in Skin Thickness Argues for Mechanical Stimulus Control by Force Instead of Displacement.

Authors:  Yuxiang Wang; Kara L Marshall; Yoshichika Baba; Ellen A Lumpkin; Gregory J Gerling
Journal:  World Haptics Conf       Date:  2013

9.  A Probabilistic Model for Estimating the Depth and Threshold Temperature of C-fiber Nociceptors.

Authors:  Tara Dezhdar; Rabih A Moshourab; Ingo Fründ; Gary R Lewin; Michael Schmuker
Journal:  Sci Rep       Date:  2015-12-07       Impact factor: 4.379

10.  Seeing by touch: evaluation of a soft biologically-inspired artificial fingertip in real-time active touch.

Authors:  Tareq Assaf; Calum Roke; Jonathan Rossiter; Tony Pipe; Chris Melhuish
Journal:  Sensors (Basel)       Date:  2014-02-07       Impact factor: 3.576

  10 in total

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