Literature DB >> 2495340

Spatial and temporal factors determining afferent fiber responses to a grating moving sinusoidally over the monkey's fingerpad.

A W Goodwin1, K T John, K Sathian, I Darian-Smith.   

Abstract

Gratings of alternating grooves and ridges were moved sinusoidally across the fingerpads of anesthetized monkeys, while responses were recorded from individual slowly adapting afferents (SAs), rapidly adapting afferents (RAs), and Pacinian afferents (PCs) in the median nerve. The stimulus comprised 2 spatial variables, namely, groove width (G) and ridge width (W), and 2 temporal variables, namely, the peak speed of movement (S) and the peak temporal frequency (F) at which successive spatial cycles of the grating pass over a point in the receptive field. The responses of all 3 fiber types were determined by only 1 spatial variable, G, and only 1 temporal variable, F. Changes in W or S affected responses only if there was a concomitant change in either G or F. Responses were phase-locked to the occurrence of successive spatial cycles of the grating, and we have used the number of impulses elicited by a single spatial cycle as the fundamental measure of response. An equation of the form I = cGaexp(-b square root of F) describes the responses of all 3 fiber types. For SAs, the effect of groove width was greater (a = 2.64) than for RAs and PCs (a = 0.924 and 1.05, respectively). The reduction in response with frequency was most marked for SAs (b = 0.262), and greater for PCs (b = 0.167) than for RAs (b = 0.130). From the equation, the instantaneous response during the entire sinusoidal cycle was reconstructed as well as a second measure, the mean cyclic response. These 2 measures behaved differently with changes in the stimulus parameters. The temporal properties of the fibers, as revealed by gratings, may appear to be in conflict with those established by vibratory threshold studies; in fact, they are compatible with suprathreshold responses to vibrating probes.

Mesh:

Year:  1989        PMID: 2495340      PMCID: PMC6569869     

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


  17 in total

1.  Temporal cues contribute to tactile perception of roughness.

Authors:  C J Cascio; K Sathian
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

2.  Neural coding mechanisms underlying perceived roughness of finely textured surfaces.

Authors:  T Yoshioka; B Gibb; A K Dorsch; S S Hsiao; K O Johnson
Journal:  J Neurosci       Date:  2001-09-01       Impact factor: 6.167

3.  Importance of temporal cues for tactile spatial- frequency discrimination.

Authors:  E Gamzu; E Ahissar
Journal:  J Neurosci       Date:  2001-09-15       Impact factor: 6.167

4.  Perceptual constancy of texture roughness in the tactile system.

Authors:  Takashi Yoshioka; James C Craig; Graham C Beck; Steven S Hsiao
Journal:  J Neurosci       Date:  2011-11-30       Impact factor: 6.167

5.  The role of vibration in tactile speed perception.

Authors:  Chris J Dallmann; Marc O Ernst; Alessandro Moscatelli
Journal:  J Neurophysiol       Date:  2015-09-30       Impact factor: 2.714

6.  SA1 and RA afferent responses to static and vibrating gratings.

Authors:  S J Bensmaïa; J C Craig; T Yoshioka; K O Johnson
Journal:  J Neurophysiol       Date:  2005-10-19       Impact factor: 2.714

7.  Roughness of simulated surfaces examined with a haptic tool: effects of spatial period, friction, and resistance amplitude.

Authors:  Allan M Smith; Georges Basile; Jonathan Theriault-Groom; Pascal Fortier-Poisson; Gianni Campion; Vincent Hayward
Journal:  Exp Brain Res       Date:  2009-12-11       Impact factor: 1.972

8.  Perceived roughness as a function of body locus.

Authors:  J C Stevens
Journal:  Percept Psychophys       Date:  1990-03

Review 9.  Analysis of haptic information in the cerebral cortex.

Authors:  K Sathian
Journal:  J Neurophysiol       Date:  2016-07-20       Impact factor: 2.714

10.  Grip-force responses to unanticipated object loading: load direction reveals body- and gravity-referenced intrinsic task variables.

Authors:  C Häger-Ross; K J Cole; R S Johansson
Journal:  Exp Brain Res       Date:  1996-06       Impact factor: 1.972

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