Literature DB >> 1578267

Internal models of limb geometry in the control of hand compliance.

F Lacquaniti1, N A Borghese, M Carrozzo.   

Abstract

The aim of this article is to describe the role of some neural mechanisms in the adaptive control of limb compliance during preplanned mechanical interaction with objects. We studied the EMG responses and the kinematic responses evoked by pseudorandom perturbations continuously applied by means of a torque motor before and during a catching task. The temporal changes of these responses were studied by means of an identification technique for time-varying systems. We found a transient reversal of EMG stretch reflex responses centered on the time of ball impact on the hand; this reversal results in a transient coactivation of antagonist muscles at both the elbow and the wrist. The kinematic responses describe the relation between torque input and position output. Thus, they provide a global measure of limb compliance. The changes in limb compliance during catching were quantified by computing error criteria either in the Cartesian coordinates of the hand or in the angular coordinates of the elbow and wrist joints. We found that only the hand compliance in Cartesian coordinates is consistently minimized around impact, in coincidence with the transient reversal of the stretch reflex responses. By contrast, the error criteria expressed in the angular coordinates of the joints have a variable time course and are not minimized around impact. It is known that hand compliance depends on both the pattern of muscle activities and the geometrical configuration of the limb. Therefore, the lack of consistent correlation between the changes in hand compliance and the changes in the geometrical configuration of the limb during catching indicates that the gating of the stretch reflex responses around impact time is based on an internal model of limb geometry.

Mesh:

Year:  1992        PMID: 1578267      PMCID: PMC6575904     

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


  15 in total

1.  Identification of physiological systems: estimation of linear time-varying dynamics with non-white inputs and noisy outputs.

Authors:  M Lortie; R E Kearney
Journal:  Med Biol Eng Comput       Date:  2001-05       Impact factor: 2.602

2.  EEG correlates of Fitts's law during preparation for action.

Authors:  D Kourtis; N Sebanz; G Knoblich
Journal:  Psychol Res       Date:  2012-02-05

3.  Neural control of motion-to-force transitions with the fingertip.

Authors:  Madhusudhan Venkadesan; Francisco J Valero-Cuevas
Journal:  J Neurosci       Date:  2008-02-06       Impact factor: 6.167

4.  Proprioceptive feedback during point-to-point arm movements is tuned to the expected dynamics of the task.

Authors:  Mark B Shapiro; Chuanxin M Niu; Cynthia Poon; Fabian J David; Daniel M Corcos
Journal:  Exp Brain Res       Date:  2009-05-12       Impact factor: 1.972

Review 5.  Visuo-motor coordination and internal models for object interception.

Authors:  Myrka Zago; Joseph McIntyre; Patrice Senot; Francesco Lacquaniti
Journal:  Exp Brain Res       Date:  2009-01-13       Impact factor: 1.972

6.  Evidence of a limited visuo-motor memory used in programming wrist movements.

Authors:  R C Miall; P N Haggard; J D Cole
Journal:  Exp Brain Res       Date:  1995       Impact factor: 1.972

7.  Anticipatory control of motion-to-force transitions with the fingertips adapts optimally to task difficulty.

Authors:  Flor A Cianchetti; Francisco J Valero-Cuevas
Journal:  J Neurophysiol       Date:  2009-11-04       Impact factor: 2.714

8.  Predicting the consequences of our own actions: the role of sensorimotor context estimation.

Authors:  S J Blakemore; S J Goodbody; D M Wolpert
Journal:  J Neurosci       Date:  1998-09-15       Impact factor: 6.167

9.  Moving a hand-held object: Reconstruction of referent coordinate and apparent stiffness trajectories.

Authors:  S Ambike; T Zhou; V M Zatsiorsky; M L Latash
Journal:  Neuroscience       Date:  2015-04-18       Impact factor: 3.590

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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