Literature DB >> 7097573

Cutaneous mechanoreceptors in macaque monkey: temporal discharge patterns evoked by vibration, and a receptor model.

A W Freeman, K O Johnson.   

Abstract

1. Vibratory stimuli applied to the hand of a monkey evoke phase locked impulse trains in the three classes of low threshold mechanoreceptive afferents which innervate the area. The responses of each class of afferent (slowly adapting (SA), rapidly adapting (RA), and Pacinian (PC) vary in a systematic but complex way across the range of frequencies and intensities to which they are sensitive. The receptors are not accessible for electrophysiological recording. The aim in this study was to infer the mechanisms underlying their responses from detailed examination of the statistical properties of the impulse trains.2. A very simple receptor model with four degrees of freedom was chosen as a starting point. The independent variables consisted of the resting membrane time constant, tau, a variable membrane conductance, G(r), the fraction of each sinusoidal stimulus cycle producing depolarization, p(r), and the noise level, sigma, which was assigned to the impulse threshold. The aim was to use the deviations between observed data and predictions from the basic model to construct a more effective model. In fact, the deviations were minor and were mostly explained by periods of increased excitability in the wake of each action potential. Almost all of the differences between the responses of the three mechanoreceptive classes examined in this paper were accounted for by differences in time constants.3. The temporal structure of the responses from each mechanoreceptive class was examined at two levels of resolution, a coarse level where the resolution unit was a full cycle, and a fine level where the unit was 0.1 ms.4. The coarse structure of each response was represented by the presence or absence of an impulse on each stimulus cycle. In each mechanoreceptive class, the impulse sequences were random at low stimulus frequencies and regular at high frequencies. The transition frequencies were roughly 5 Hz for the slowly adapting afferents, 7 Hz for the rapidly adapting afferents, and 110 Hz for the Pacinian afferents. The model matched these data closely when the time constants were set at 80, 60 and 3.4 ms for SAs, RAs and PCs, respectively.5. The fine structure of the responses of each mechanoreceptive class exhibited impulse phase locking, phase advance with increasing intensity, and bimodal phase distributions at higher frequencies. Impulses contributing to the first mode of bimodal distributions always occurred in cycles following cycles in which no impulse occurred. Impulses contributing to the retarded mode always occurred in cycles following filled cycles. The mean phase differences between the two modes was called phase retardation. Phase retardation grew with stimulus frequency for both the receptors and the model; the time constants required to match the model against neural phase retardation curves were 123, 64 and 4.8 ms for SAs, RAs and PCs, respectively.

Mesh:

Year:  1982        PMID: 7097573      PMCID: PMC1250343          DOI: 10.1113/jphysiol.1982.sp014059

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  16 in total

1.  INITIATION OF IMPULSES AT THE NON-MYELINATED NERVE TERMINAL IN PACINIAN CORPUSCLES.

Authors:  M OZEKI; M SATO
Journal:  J Physiol       Date:  1964-01       Impact factor: 5.182

2.  Responses of the nerve terminal of the Pacinian corpuscle.

Authors:  C C HUNT; A TAKEUCHI
Journal:  J Physiol       Date:  1962-01       Impact factor: 5.182

3.  Properties of the receptor potential in Pacinian corpuscles.

Authors:  J A GRAY; M SATO
Journal:  J Physiol       Date:  1953-12-29       Impact factor: 5.182

4.  Behavior of solutions of the Hodgkin-Huxley equations and its relation to properties of mechanoreceptors.

Authors:  I Nemoto; S Miyazaki; M Saito; T Utsunomiya
Journal:  Biophys J       Date:  2009-01-01       Impact factor: 4.033

5.  A neuronal model for the discharge patterns produced by cyclic inputs.

Authors:  A Rescigno; R B Stein; R L Purple; R E Poppele
Journal:  Bull Math Biophys       Date:  1970-09

6.  A model illustrating some aspects of muscle spindle physiology.

Authors:  A J Buller
Journal:  J Physiol       Date:  1965-08       Impact factor: 5.182

7.  The sense of flutter-vibration: comparison of the human capacity with response patterns of mechanoreceptive afferents from the monkey hand.

Authors:  W H Talbot; I Darian-Smith; H H Kornhuber; V B Mountcastle
Journal:  J Neurophysiol       Date:  1968-03       Impact factor: 2.714

8.  A model accounting for effects of vibratory amplitude on responses of cutaneous mechanoreceptors in macaque monkey.

Authors:  A W Freeman; K O Johnson
Journal:  J Physiol       Date:  1982-02       Impact factor: 5.182

9.  Reconstruction of population response to a vibratory stimulus in quickly adapting mechanoreceptive afferent fiber population innervating glabrous skin of the monkey.

Authors:  K O Johnson
Journal:  J Neurophysiol       Date:  1974-01       Impact factor: 2.714

10.  Mechanical transmission in a Pacinian corpuscle. An analysis and a theory.

Authors:  W R Loewenstein; R Skalak
Journal:  J Physiol       Date:  1966-01       Impact factor: 5.182

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  39 in total

1.  Neuronal correlates of sensory discrimination in the somatosensory cortex.

Authors:  A Hernández; A Zainos; R Romo
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

2.  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

3.  Tristate markov model for the firing statistics of rapidly-adapting mechanoreceptive fibers.

Authors:  Burak Güçlü; Stanley J Bolanowski
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

4.  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

5.  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

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.  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

8.  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

9.  Temporal factors in tactile spatial acuity: evidence for RA interference in fine spatial processing.

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

10.  Statistical analysis and modeling of variance in the SA-I mechanoreceptor response to sustained indentation.

Authors:  Daine R Lesniak; Scott A Wellnitz; Gregory J Gerling; Ellen A Lumpkin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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