DocumentCode
2410713
Title
Statistical analysis and modeling of variance in the SA-I mechanoreceptor response to sustained indentation
Author
Lesniak, Daine R. ; Wellnitz, Scott A. ; Gerling, Gregory J. ; Lumpkin, Ellen A.
Author_Institution
Dept. of Syst. & Inf. Eng., Univ. of Virginia, Charlottesville, VA, USA
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
6814
Lastpage
6817
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.
Keywords
cellular biophysics; neurophysiology; statistical analysis; touch (physiological); SA-I interspike intervals; SA-I mechanoreceptor response statistics; SA-I mechanoreceptor response variance; applied force; compressive stimuli; fiber to fiber variation; input-output model; interspike interval variation coefficient; multiplicative fiber sensitivity factor; murine ex vivo skin nerve preparation; nervous system; slowly adapting type I mechanoreceptor; steady state firing rate variability; sustained indentation; tactile feedback; Action Potentials; Animals; Mechanoreceptors; Mice; Models, Neurological; Models, Statistical; Nerve Fibers;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5334487
Filename
5334487
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