Tactile sensation is a complex manifestation of mechanical stimuli applied to the skin. At the most fundamental level of the somatosensory system is the cutaneous mechanoreceptor. The objective here was to establish a framework for modeling afferent mechanoreceptor behavior as a nanoscale biosensor under dynamic compressive loads using multivariate regression techniques. A multivariate logistical model was chosen because the system contains continuous input variables and a singular binary-output variable corresponding to the nerve action potential. Subsequently, this method was used to quantify the sensitivity of ten rapidly adapting afferents from rat hairy skin due to the stimulus metrics of compressive stress, strain, their respective time derivatives, and interactions. In vitro experiments involving compressive stimulation of isolated afferents using pseudorandom and nonrepeating noise sequences were completed. An analysis of the data was performed using multivariate logistical regression producing odds ratios (ORs) as a metric associated with mechanotransduction. It was determined that cutaneous mechanoreceptors are preferentially sensitive to stress (mean ), stress rate (mean ), strain (mean ), and strain rate (mean ) typically occurring within 7.3 ms of the nerve response. As a novel approach to receptor characterization, this analytical framework was validated for the multiple-input, binary-output neural system.
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e-mail: kohles@cecs.pdx.edu
e-mail: fjlooft@wpi.edu
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February 2011
Research Papers
A Multivariate Logistical Model for Identifying the Compressive Sensitivity of Single Rat Tactile Receptors as Nanobiosensors
Sean S. Kohles,
Sean S. Kohles
Reparative Bioengineering Laboratory, Department of Mechanical and Materials Engineering,
e-mail: kohles@cecs.pdx.edu
Portland State University
, Portland, OR 97201; Department of Surgery, Oregon Health and Science University
, Portland, OR 97239
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Sam Bradshaw,
Sam Bradshaw
Department of Electrical and Computer Engineering,
Worcester Polytechnic Institute
, Worcester, MA 01609
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Shelley S. Mason,
Shelley S. Mason
Reparative Bioengineering Laboratory, Department of Mechanical and Materials Engineering, Department of Biology,
Portland State University
, Portland, OR 97201
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Fred J. Looft
Fred J. Looft
Department of Electrical and Computer Engineering,
e-mail: fjlooft@wpi.edu
Worcester Polytechnic Institute
, Worcester, MA 01609
Search for other works by this author on:
Sean S. Kohles
Reparative Bioengineering Laboratory, Department of Mechanical and Materials Engineering,
Portland State University
, Portland, OR 97201; Department of Surgery, Oregon Health and Science University
, Portland, OR 97239e-mail: kohles@cecs.pdx.edu
Sam Bradshaw
Department of Electrical and Computer Engineering,
Worcester Polytechnic Institute
, Worcester, MA 01609
Shelley S. Mason
Reparative Bioengineering Laboratory, Department of Mechanical and Materials Engineering, Department of Biology,
Portland State University
, Portland, OR 97201
Fred J. Looft
Department of Electrical and Computer Engineering,
Worcester Polytechnic Institute
, Worcester, MA 01609e-mail: fjlooft@wpi.edu
J. Nanotechnol. Eng. Med. Feb 2011, 2(1): 011002 (7 pages)
Published Online: December 13, 2010
Article history
Received:
August 25, 2010
Revised:
September 14, 2010
Published:
December 13, 2010
Citation
Kohles, S. S., Bradshaw, S., Mason, S. S., and Looft, F. J. (December 13, 2010). "A Multivariate Logistical Model for Identifying the Compressive Sensitivity of Single Rat Tactile Receptors as Nanobiosensors." ASME. J. Nanotechnol. Eng. Med. February 2011; 2(1): 011002. https://doi.org/10.1115/1.4002750
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