Literature DB >> 19964911

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

Daine R Lesniak1, Scott A Wellnitz, Gregory J Gerling, Ellen A Lumpkin.   

Abstract

The slowly-adapting type I mechanoreceptor (SA-I) exhibits variability in its steady-state firing rate both within an afferent upon repeated stimulation and between afferents. Additionally, inter-spike intervals of the SA-I are extremely variable during this steady-state firing. While variability of the SA-I response has been noted previously, the work presented herein provides a finer analysis of the impact of force and fiber on the SA-I response. Specifically, we test two hypotheses, that 1) fiber-to-fiber variation will significantly impact firing rate over the range of applied forces, and that 2) fiber-to-fiber variation will significantly impact the coefficient of variation (CV) of inter-spike intervals over the range of applied forces. Utilizing an ex vivo skin nerve preparation in the mouse, experiments were conducted with six SA-I fibers from five mice, and with compressive stimuli with force magnitudes up to 9.59 mN. We found fiber to significantly impact both firing rate and CV. These findings motivated the construction of a generalized input (force)-output (firing rate) model composed of a baseline response profile and a multiplicative fiber sensitivity factor. This work will inform future efforts to attribute variability to differences in skin, neuron, and receptor properties, and will contribute to the understanding of how much variability is acceptable in systems designed to provide tactile feedback to the nervous system.

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Mesh:

Year:  2009        PMID: 19964911      PMCID: PMC2905790          DOI: 10.1109/IEMBS.2009.5334487

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  23 in total

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

Authors:  Weiqing Ge; Partap S Khalsa
Journal:  J Neurophysiol       Date:  2002-04       Impact factor: 2.714

Review 2.  How is tactile information affected by parameters of the population such as non-uniform fiber sensitivity, innervation geometry and response variability?

Authors:  A W Goodwin; H E Wheat
Journal:  Behav Brain Res       Date:  2002-09-20       Impact factor: 3.332

3.  NEURAL ACTIVITY IN MECHANORECEPTIVE CUTANEOUS AFFERENTS: STIMULUS-RESPONSE RELATIONS, WEBER FUNCTIONS, AND INFORMATION TRANSMISSION.

Authors:  G WERNER; V B MOUNTCASTLE
Journal:  J Neurophysiol       Date:  1965-03       Impact factor: 2.714

4.  Direct neural sensory feedback and control of a prosthetic arm.

Authors:  Gurpreet Singh Dhillon; Kenneth W Horch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-12       Impact factor: 3.802

Review 5.  Attending to and remembering tactile stimuli: a review of brain imaging data and single-neuron responses.

Authors:  H Burton; R J Sinclair
Journal:  J Clin Neurophysiol       Date:  2000-11       Impact factor: 2.177

6.  Magnitude estimation of tangential force applied to the fingerpad.

Authors:  Michel Paré; Heather Carnahan; Allan M Smith
Journal:  Exp Brain Res       Date:  2001-12-04       Impact factor: 1.972

7.  Effects of nonuniform fiber sensitivity, innervation geometry, and noise on information relayed by a population of slowly adapting type I primary afferents from the fingerpad.

Authors:  A W Goodwin; H E Wheat
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

8.  Response properties of mechanoreceptors and nociceptors in mouse glabrous skin: an in vivo study.

Authors:  D M Cain; S G Khasabov; D A Simone
Journal:  J Neurophysiol       Date:  2001-04       Impact factor: 2.714

Review 9.  [The Merkel cell: morphology, developmental origin, function].

Authors:  Z Halata; M Grim; K I Baumann
Journal:  Cas Lek Cesk       Date:  2003-01-20

10.  Alterations in the mechanical properties and composition of skin in human growth hormone transgenic mice.

Authors:  Maria A Serrat; Christopher J Vinyard; Donna King
Journal:  Connect Tissue Res       Date:  2007       Impact factor: 3.417

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  2 in total

1.  Using Force Sensors and Neural Models to Encode Tactile Stimuli as Spike-based Responses.

Authors:  Elmer K Kim; Gregory J Gerling; Scott A Wellnitz; Ellen A Lumpkin
Journal:  Proc Symp Haptic Interface Virtual Env Teleoperator Syst       Date:  2010-03-25

2.  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
  2 in total

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