Literature DB >> 9412528

Peripheral neural mechanisms determining the orientation of cylinders grasped by the digits.

M J Dodson1, A W Goodwin, A S Browning, H M Gehring.   

Abstract

When a human grasps a cylindrical object, feedback on the orientation of the cylinder with respect to the axes of the digits is crucial for successful manipulation of the object. We measured the ability of humans to discriminate the orientations of cylinders passively contacting the fingerpad. For a cylinder of curvature of 521 m-1 (radius, 1.92 mm) subjects were able to discriminate, at the 75% level, orientation differences of 5.4 degrees; for a less curved cylinder (curvature, 172 m-1; radius, 5.81 mm) the difference limen decreased to 4.2 degrees. The neural mechanisms underlying the determination of tactile orientation were investigated by recording the responses of single slowly adapting type I afferents (SAIs) innervating the fingerpads of anesthetized monkeys. When cylinders were stepped across the receptive field of an SAI, the resulting response profiles were Gaussian in shape; the shape corresponded to the shape of the cylinder, increasing in height and decreasing in width for more curved cylinders. All SAIs had the same underlying profile shape except for a multiplicative constant determined by the sensitivity of the individual afferent. Thus it was possible to reconstruct the response of the population of active SAIs in the fingerpad. Changing the orientation of the cylinder resulted in a rotation of the population response, but the change in angle of the population response was greater than the change in orientation of the cylinder. This discrepancy increased as the orientation of the cylinder moved closer to the orientation of the axis of the finger and was more pronounced for the less curved cylinder. Measured contact areas between the cylinders and the skin were elliptical, with orientations exceeding those of the cylinder; again the differences were greater for the less curved cylinder and for orientations closer to that of the finger axis. The human discrimination performance could be explained in terms of the SAI population responses.

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Mesh:

Year:  1998        PMID: 9412528      PMCID: PMC6793383     

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


  33 in total

1.  Directional sensitivity to a tactile point stimulus moving across the fingerpad.

Authors:  D V Keyson; A J Houtsma
Journal:  Percept Psychophys       Date:  1995-07

2.  Surface deflection of primate fingertip under line load.

Authors:  M A Srinivasan
Journal:  J Biomech       Date:  1989       Impact factor: 2.712

3.  Discrimination of simulated texture patterns on the human hand.

Authors:  C E Kops; E P Gardner
Journal:  J Neurophysiol       Date:  1996-08       Impact factor: 2.714

4.  Representation of moving tactile stimuli in the somatic sensory cortex of awake monkeys.

Authors:  S Ruiz; P Crespo; R Romo
Journal:  J Neurophysiol       Date:  1995-02       Impact factor: 2.714

5.  Responses of cutaneous mechanoreceptors to the shape of objects applied to the primate fingerpad.

Authors:  R H LaMotte; M A Srinivasan
Journal:  Acta Psychol (Amst)       Date:  1993-10

6.  Human orientation discrimination tested with long stimuli.

Authors:  G A Orban; E Vandenbussche; R Vogels
Journal:  Vision Res       Date:  1984       Impact factor: 1.886

7.  Properties of cutaneous mechanoreceptors in the human hand related to touch sensation.

Authors:  A B Vallbo; R S Johansson
Journal:  Hum Neurobiol       Date:  1984

8.  Tactile spatial resolution. III. A continuum mechanics model of skin predicting mechanoreceptor responses to bars, edges, and gratings.

Authors:  J R Phillips; K O Johnson
Journal:  J Neurophysiol       Date:  1981-12       Impact factor: 2.714

9.  Tactile discrimination of shape: responses of slowly adapting mechanoreceptor afferents to a step stroked across the monkey fingerpad.

Authors:  R H LaMotte; M A Srinivasan
Journal:  J Neurosci       Date:  1987-06       Impact factor: 6.167

10.  An anisotropy of human tactile sensitivity and its relation to the visual oblique effect.

Authors:  E A Essock; W K Krebs; J R Prather
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

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  15 in total

1.  Encoding of direction of fingertip forces by human tactile afferents.

Authors:  I Birznieks; P Jenmalm; A W Goodwin; R S Johansson
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

2.  Correlation of fingertip shear force direction with somatosensory cortical activity in monkey.

Authors:  Pascal Fortier-Poisson; Jean-Sébastien Langlais; Allan M Smith
Journal:  J Neurophysiol       Date:  2015-10-14       Impact factor: 2.714

3.  Encoding of tangential torque in responses of tactile afferent fibres innervating the fingerpad of the monkey.

Authors:  Ingvars Birznieks; Heather E Wheat; Stephen J Redmond; Lauren M Salo; Nigel H Lovell; Antony W Goodwin
Journal:  J Physiol       Date:  2010-02-08       Impact factor: 5.182

4.  Rapid geometric feature signaling in the simulated spiking activity of a complete population of tactile nerve fibers.

Authors:  Benoit P Delhaye; Xinyue Xia; Sliman J Bensmaia
Journal:  J Neurophysiol       Date:  2019-04-03       Impact factor: 2.714

5.  Simulating tactile signals from the whole hand with millisecond precision.

Authors:  Hannes P Saal; Benoit P Delhaye; Brandon C Rayhaun; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

6.  Modulation of ongoing EMG by different classes of low-threshold mechanoreceptors in the human hand.

Authors:  P A McNulty; V G Macefield
Journal:  J Physiol       Date:  2001-12-15       Impact factor: 5.182

7.  Tactile discrimination of edge shape: limits on spatial resolution imposed by parameters of the peripheral neural population.

Authors:  H E Wheat; A W Goodwin
Journal:  J Neurosci       Date:  2001-10-01       Impact factor: 6.167

8.  Effects of nonuniform fiber sensitivity, innervation geometry, and noise on information relayed by a population of slowly adapting type I primary afferents from the fingerpad.

Authors:  A W Goodwin; H E Wheat
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

9.  A Simplified Model for Simulating Population Responses of Tactile Afferents and Receptors in the Skin.

Authors:  Qiangqiang Ouyang; Juan Wu; Zhiyu Shao; Dapeng Chen; James W Bisley
Journal:  IEEE Trans Biomed Eng       Date:  2021-01-20       Impact factor: 4.538

10.  Complementary processing of haptic information by slowly and rapidly adapting neurons in the trigeminothalamic pathway. Electrophysiology, mathematical modeling and simulations of vibrissae-related neurons.

Authors:  Abel Sanchez-Jimenez; Carlos Torets; Fivos Panetsos
Journal:  Front Cell Neurosci       Date:  2013-06-04       Impact factor: 5.505

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