Literature DB >> 2378193

Time course and action spectrum of vibrotactile adaptation.

M Hollins1, A K Goble, B L Whitsel, M Tommerdahl.   

Abstract

In a series of experiments designed to explore the processes underlying adaptation of the sense of flutter-vibration, vibrotactile threshold was measured on the pad of the index finger, using Békésy tracking. Unadapted thresholds were first measured, for a number of frequencies (4-90 Hz) and contactor sizes (1-8 mm diameter). As expected, these measurements indicated the presence of (1) a Pacinian system possessing spatial summation and increasing in sensitivity, as frequency was raised, at the rate of 12 dB/octave; and (2) a non-Pacinian system showing little spatial summation, and with a frequency characteristic matching that of the NP I mechanism of Bolanowski et al. (1988). These baseline data of Experiment 1 guided the selection of stimulus parameters for subsequent experiments, in which threshold for a test stimulus was measured before, during, and after periods of vibrotactile adaptation. In Experiment 2, test stimuli of 10 Hz and 50 Hz were combined factorially with 30-dB SL adapting stimuli of the same two frequencies. When the test stimulus was 10 Hz, the two adapting frequencies were equally effective in raising threshold; however, when the 50-Hz test stimulus was used, the 50-Hz adapting stimulus raised threshold by a greater amount than did the 10-Hz adapter. These results confirm on the finger the independence of adaptation in Pacinian and non-Pacinian channels, a result previously established on the thenar by other workers. For all four frequency combinations, threshold rose exponentially with a time constant of 1.5-2 min. In Experiment 3, an action spectrum was determined, showing the adapting amplitude needed at each of a series of frequencies to raise the threshold of a 10-Hz stimulus by 10 dB; this spectrum was essentially flat from 30 to 90 Hz. The results, taken in conjunction with what is known about rapidly adapting cutaneous mechanoreceptors, imply that the effectiveness of an adapting stimulus is not determined solely by the amount of activity it generates in first-order afferents.

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Year:  1990        PMID: 2378193     DOI: 10.3109/08990229009144707

Source DB:  PubMed          Journal:  Somatosens Mot Res        ISSN: 0899-0220            Impact factor:   1.111


  17 in total

1.  Movement-related modulation of vibrotactile detection thresholds in the human orofacial system.

Authors:  Richard D Andreatta; Steven M Barlow
Journal:  Exp Brain Res       Date:  2002-12-19       Impact factor: 1.972

2.  Vibrotactile adaptation on the face.

Authors:  M Hollins; K A Delemos; A K Goble
Journal:  Percept Psychophys       Date:  1991-01

3.  Peripheral vs. central determinants of vibrotactile adaptation.

Authors:  A Klöcker; D Gueorguiev; J L Thonnard; A Mouraux
Journal:  J Neurophysiol       Date:  2015-11-18       Impact factor: 2.714

4.  Time-course of vibratory adaptation and recovery in cutaneous mechanoreceptive afferents.

Authors:  Y Y Leung; S J Bensmaïa; S S Hsiao; K O Johnson
Journal:  J Neurophysiol       Date:  2005-11       Impact factor: 2.714

5.  Vibratory adaptation of cutaneous mechanoreceptive afferents.

Authors:  S J Bensmaïa; Y Y Leung; S S Hsiao; K O Johnson
Journal:  J Neurophysiol       Date:  2005-07-13       Impact factor: 2.714

6.  Representation of object size in the somatosensory system.

Authors:  L J Berryman; J M Yau; S S Hsiao
Journal:  J Neurophysiol       Date:  2006-04-26       Impact factor: 2.714

7.  Frequency-domain measurement of vibrotactile driving responses in first-order afferent populations.

Authors:  E F Kelly; D F McLaughlin; W J Dunseath; S Folger; F Jones; H K Hudnell
Journal:  Exp Brain Res       Date:  1996-06       Impact factor: 1.972

8.  Discrimination of vibrotactile frequencies in a delayed pair comparison task.

Authors:  R J Sinclair; H Burton
Journal:  Percept Psychophys       Date:  1996-07

9.  Sensory adaptation to electrical stimulation of the somatosensory nerves.

Authors:  Emily L Graczyk; Benoit P Delhaye; Matthew A Schiefer; Sliman J Bensmaia; Dustin J Tyler
Journal:  J Neural Eng       Date:  2018-03-19       Impact factor: 5.379

10.  Auditory and tactile frequency representations are co-embedded in modality-defined cortical sensory systems.

Authors:  Md Shoaibur Rahman; Kelly Anne Barnes; Lexi E Crommett; Mark Tommerdahl; Jeffrey M Yau
Journal:  Neuroimage       Date:  2020-04-11       Impact factor: 6.556

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