Jump to main content
Jump to site search

Issue 11, 2016
Previous Article Next Article

A multiphysics model of the Pacinian corpuscle

Author affiliations

Abstract

The Pacinian corpuscle (PC) is a dermal mechanoreceptor that responds to high-frequency (20–1000 Hz) vibrations. The PC's structure allows transmission of vibrations through its layers (lamellae) to the centrally-located nerve fiber (neurite). This work combines mechanical models of the PC with an electrochemical model of peripheral nerves to simulate the tactile response of the entire system. A three-stage model of response to a vibratory input was developed, consisting of (1) outer core mechanics, (2) inner core mechanics, and (3) neurite electrochemistry. The model correctly predicts the band-pass nature of the PC's frequency response, showing that the PC structure can amplify oscillatory strains within its target frequency band. Specifically, strain induced by a vibratory stimulus is amplified by a factor of 8–12 from the PC surface to the neurite. Our results also support the hypothesis that PC rapid adaptation is affected by the lamellar structures without requiring neuronal adaptivity. Simulated different-sized PCs showed a shift in frequency response, suggesting that clusters of different-sized PCs could enable more nuanced tactile encoding than uniform clusters. By modeling the PC's mechano-to-neural transduction, we can begin to characterize the mechanosensation of other receptors to understand how multiple receptors interact to create our sensation of touch.

Graphical abstract: A multiphysics model of the Pacinian corpuscle

Back to tab navigation

Publication details

The article was received on 12 Aug 2016, accepted on 28 Sep 2016 and first published on 04 Oct 2016


Article type: Paper
DOI: 10.1039/C6IB00157B
Citation: Integr. Biol., 2016,8, 1111-1125
  •   Request permissions

    A multiphysics model of the Pacinian corpuscle

    J. C. Quindlen, H. K. Stolarski, M. D. Johnson and V. H. Barocas, Integr. Biol., 2016, 8, 1111
    DOI: 10.1039/C6IB00157B

Search articles by author

Spotlight

Advertisements