Literature DB >> 11929890

Encoding of compressive stress during indentation by slowly adapting type I mechanoreceptors in rat hairy skin.

Weiqing Ge1, Partap S Khalsa.   

Abstract

The mechanical state encoded by slowly adapting type 1 mechanoreceptors (SAI) during indentation was examined using an isolated preparation in a rat model. Skin and its intact innervation were harvested from the medial thigh of the rat hindlimb and placed in a dish, with the corium side down, containing synthetic interstitial fluid. The margins of the skin were coupled to an apparatus that could stretch and apply compression to the skin. Using a standard teased nerve preparation, the neural responses of single SAIs were identified. SAIs were stimulated, using controlled compressive stress while simultaneously measuring displacement, by compressing the skin between indenters (flat cylinders) of different diameters and a hard platform. SAIs were subcategorized according to whether their neural response saturated above or below 10 kPa compressive stress (SAI-H or SAI-L, respectively). Linear regression was used to evaluate the relationships between neuron response and stress and force and displacement. For all SAIs, the mean neural response was significantly and substantially more highly correlated with compressive stress than force or displacement. For the SAI-L subcategory, the mean correlation coefficient was significantly and substantially greater for stress than for force but not significantly different for displacement. The data from this study support the hypothesis that SAI mechanoreceptors stimulated by indentation encode compressive stress rather than force, displacement, or strain.

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Year:  2002        PMID: 11929890     DOI: 10.1152/jn.00414.2001

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


  16 in total

1.  Skin relaxation predicts neural firing rate adaptation in SAI touch receptors.

Authors:  Aaron L Williams; Gregory J Gerling; Scott A Wellnitz; Sarah M Bourdon; Ellen A Lumpkin
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2.  Response of lumbar paraspinal muscles spindles is greater to spinal manipulative loading compared with slower loading under length control.

Authors:  Joel G Pickar; Paul S Sung; Yu-Ming Kang; Weiqing Ge
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Authors:  Yuxiang Wang; Yoshichika Baba; Ellen A Lumpkin; Gregory J Gerling
Journal:  J Neurophysiol       Date:  2016-04-20       Impact factor: 2.714

Review 4.  Pursuing prosthetic electronic skin.

Authors:  Alex Chortos; Jia Liu; Zhenan Bao
Journal:  Nat Mater       Date:  2016-07-04       Impact factor: 43.841

5.  The regularity of sustained firing reveals two populations of slowly adapting touch receptors in mouse hairy skin.

Authors:  Scott A Wellnitz; Daine R Lesniak; Gregory J Gerling; Ellen A Lumpkin
Journal:  J Neurophysiol       Date:  2010-04-14       Impact factor: 2.714

6.  Statistical analysis and modeling of variance in the SA-I mechanoreceptor response to sustained indentation.

Authors:  Daine R Lesniak; Scott A Wellnitz; Gregory J Gerling; Ellen A Lumpkin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

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.  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

9.  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

10.  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

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