Literature DB >> 21653856

A unifying framework underlying mechanotransduction in the somatosensory system.

Eran Lottem1, Rony Azouz.   

Abstract

Rodents use their whiskers to sense their surroundings. As most of the information available to the somatosensory system originates in whiskers' primary afferents, it is essential to understand the transformation of whisker motion into neuronal activity. Here, we combined in vivo recordings in anesthetized rats with mathematical modeling to ascertain the mechanical and electrical characteristics of mechanotransduction. We found that only two synergistic processes, which reflect the dynamic interactions between (1) receptor and whisker and (2) receptor and surrounding tissue, are needed to describe mechanotransduction during passive whiskers deflection. Interactions between these processes may account for stimulus-dependent changes in the magnitude and temporal pattern of tactile responses on multiple scales. Thus, we are able to explain complex electromechanical processes underlying sensory transduction using a simple model, which captures the responses of a wide range of mechanoreceptor types to diverse sensory stimuli. This compact and precise model allows for a ubiquitous description of how mechanoreceptors encode tactile stimulus.

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Year:  2011        PMID: 21653856      PMCID: PMC6623321          DOI: 10.1523/JNEUROSCI.6695-10.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  20 in total

1.  Low-dimensional sensory feature representation by trigeminal primary afferents.

Authors:  Michael R Bale; Kyle Davies; Oliver J Freeman; Robin A A Ince; Rasmus S Petersen
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

Review 2.  Whisking mechanics and active sensing.

Authors:  Nicholas E Bush; Sara A Solla; Mitra Jz Hartmann
Journal:  Curr Opin Neurobiol       Date:  2016-09-13       Impact factor: 6.627

3.  Microsecond-scale timing precision in rodent trigeminal primary afferents.

Authors:  Michael R Bale; Dario Campagner; Andrew Erskine; Rasmus S Petersen
Journal:  J Neurosci       Date:  2015-04-15       Impact factor: 6.167

4.  Thalamic state control of cortical paired-pulse dynamics.

Authors:  Clarissa J Whitmire; Daniel C Millard; Garrett B Stanley
Journal:  J Neurophysiol       Date:  2016-10-19       Impact factor: 2.714

5.  Pre-neuronal morphological processing of object location by individual whiskers.

Authors:  Knarik Bagdasarian; Marcin Szwed; Per Magne Knutsen; Dudi Deutsch; Dori Derdikman; Maciej Pietr; Erez Simony; Ehud Ahissar
Journal:  Nat Neurosci       Date:  2013-04-07       Impact factor: 24.884

6.  Tactile perception and working memory in rats and humans.

Authors:  Arash Fassihi; Athena Akrami; Vahid Esmaeili; Mathew E Diamond
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-21       Impact factor: 11.205

7.  Variations in vibrissal geometry across the rat mystacial pad: base diameter, medulla, and taper.

Authors:  Hayley M Belli; Anne E T Yang; Chris S Bresee; Mitra J Z Hartmann
Journal:  J Neurophysiol       Date:  2016-11-23       Impact factor: 2.714

8.  Mechanical signals at the base of a rat vibrissa: the effect of intrinsic vibrissa curvature and implications for tactile exploration.

Authors:  Brian W Quist; Mitra J Z Hartmann
Journal:  J Neurophysiol       Date:  2012-02-01       Impact factor: 2.714

9.  Active Touch and Self-Motion Encoding by Merkel Cell-Associated Afferents.

Authors:  Kyle S Severson; Duo Xu; Margaret Van de Loo; Ling Bai; David D Ginty; Daniel H O'Connor
Journal:  Neuron       Date:  2017-04-20       Impact factor: 17.173

10.  Modeling forces and moments at the base of a rat vibrissa during noncontact whisking and whisking against an object.

Authors:  Brian W Quist; Vlad Seghete; Lucie A Huet; Todd D Murphey; Mitra J Z Hartmann
Journal:  J Neurosci       Date:  2014-07-23       Impact factor: 6.167

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