Skip to main content
Log in

Threshold control of arm posture and movement adaptation to load

  • Research Article
  • Published:
Experimental Brain Research Aims and scope Submit manuscript

Abstract

We addressed the fundamental questions of which variables underlie the control of arm movement and how they are stored in motor memory, reproduced and modified in the process of adaptation to changing load conditions. Such variables are defined differently in two major theories of motor control (internal models and threshold control). To resolve the controversy, these theories were tested (experiment 1) based on their ability to explain why active movement away from a stable posture is not opposed by stabilizing mechanisms (the posture–movement problem). The internal model theory suggests that the system counteracts the opposing forces by increasing the muscle activity in proportion to the distance from the initial posture (position-dependent EMG control). In contrast, threshold control fully excludes these opposing forces by shifting muscle activation thresholds and thus resetting the stabilizing mechanisms to a new posture. Subjects were sitting, holding the vertical handle of a double-joint manipulandum with their right hand and were facing a computer screen on which the handle and target to be reached were displayed. In response to an auditory signal, subjects quickly moved the handle from an initial position to one of two (frontal and sagittal) targets. No load was applied during the movement but in separate trials, a brief perturbation was applied to the handle by torque motors controlling the manipulandum. Perturbations were applied prior to or 3 s after movement offset, in the latter case in one of eight directions. The EMG activity of the majority of the seven recorded muscles was at zero level before movement onset and returned to zero level after movement offset. Those muscles that remained active before or after the movement could be made silent whereas previously silent muscles could be activated after a small passive displacement (several millimeters) elicited by perturbations in appropriate directions. Results showed that the activation thresholds of motoneurons of arm muscles were reset from the initial to a final position and that EMG activity was not position-dependent. These results were inconsistent with the internal model theory but confirmed the threshold control theory. Then the ability of threshold control theory to explain rapid movement adaptation to a position-dependent load was investigated (experiment 2 and 3). Subjects produced fast movement to the frontal target with and without a position-dependent load applied to the handle. Trials were organized in blocks alternating between the load and no-load condition (20 blocks in total, with randomly chosen number of five to ten trials in each). Subjects were instructed “do not correct” in experiment 2 and “correct” movement errors during the trial in experiment 3. Five threshold arm configurations underlying the movement production and adaptation were identified. When instructed “do not correct”, movement precision was fully restored on average after two trials. No significant improvement was observed as the experiment progressed despite the fact that the same load condition was repeated after one block of trials. Thus, in each block, the adaptation was made anew, implying that subjects relied on short-term memory and could not recall the threshold arm configurations they specified to accurately reach the same target in the same load condition in previous blocks. When instructed to “correct” within each trial, precision was restored faster, on average after one trial. Major aspects of the production and adaptation of arm movement (including the kinematics, movement errors, instruction-dependent behavior, and absence of position-related EMG activity) are explained in terms of threshold control.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3.
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Abelew TA, Miller MD, Cope TC, Nichols TR (2000) Local loss of proprioception results in disruption of interjoint coordination during locomotion in the cat. J Neurophysiol 84:2709–2714

    PubMed  CAS  Google Scholar 

  • Adamovich SV, Levin MF, Feldman AG (1997) Central modifications of reflex parameters may underlie the fastest arm movements. J Neurophysiol 77:1460–1469

    PubMed  CAS  Google Scholar 

  • Archambault PS, Mihaltchev P, Levin MF, Feldman AG (2005) Basic elements of arm postural control analyzed by unloading. Exp Brain Res 164:225–241

    Article  PubMed  Google Scholar 

  • Asatryan DG, Feldman AG (1965) Functional tuning of the nervous system with control of movements or maintenance of a steady posture: I. Mechanographic analysis of the work of the joint on execution of a postural task. Biophys USSR 10:925–935

    Google Scholar 

  • Bays PM, Flanagan JR, Wolpert DM (2005) Interference between velocity-dependent and position-dependent force-fields indicates that tasks depending on different kinematic parameters compete for motor working memory. Exp Brain Res 163:400–405

    Article  PubMed  Google Scholar 

  • Belen’kii VY, Gurfinkel VS, Pal’tsev Y (1967) Elements of control of voluntary movements. Biofizika 10: 135–141

    Google Scholar 

  • Bhushan N, Shadmehr R (1999) Computational nature of human adaptive control during learning of reaching movments in force fields. Biol Cybern 81:39–60

    Article  PubMed  CAS  Google Scholar 

  • Bizzi E, Hogan N, Mussa-Ivaldi FA, Giszter S (1992) Does the nervous system use equilibrium-point control to guide single and multiple joint movements? Behav Brain Sci 15:603–613

    Google Scholar 

  • Boyd LA, Winstein CJ (2001) Implicit motor-sequence learning in humans following unilateral stroke: the impact of practice and explicit knowledge. Neurosci Lett 298:65–69

    Article  PubMed  CAS  Google Scholar 

  • Capaday C (1995) The effects of baclofen on the stretch reflex parameters of the cat. Exp Brain Res 104:287–296

    Article  PubMed  CAS  Google Scholar 

  • Conditt MA, Gandolfo F, Mussa-Ivaldi FA (1997) The motor system does not learn the dynamics of the arm by rote memorization of past experience. J Neurophysiol 78:554–560

    PubMed  CAS  Google Scholar 

  • Feldman AG (1986) Once more on the equilibrium-point hypothesis (λ model) for motor control. J Mot Behav 18:17–34

    PubMed  CAS  Google Scholar 

  • Feldman AG, Latash ML (2005) Testing hypotheses and the advancement of science: recent attempts to falsify the equilibrium-point hypothesis. Exp Brain Res 161:91–103

    Article  PubMed  Google Scholar 

  • Feldman AG, Levin MF (1995) The origin and use of positional frames of reference in motor control. Behav Brain Sci 18:723–806

    Article  Google Scholar 

  • Feldman AG, Orlovsky GN (1972) The influence of different descending systems on the tonic stretch reflex in the cat. Exp Neurol 37: 481–494

    Article  PubMed  CAS  Google Scholar 

  • Feldman AG, Ostry DJ, Levin MF, Gribble PL, Mitnitski AB (1998a Recent tests of the equilibrium-point hypothesis (λmodel). Motor Control 2:189–205

    PubMed  CAS  Google Scholar 

  • Feldman AG, Levin MF, Mitnitski AM, Archambault P (1998b ISEK 1998 Congress keynote lecture: multi-muscle control in human movements. J Electromyogr Kinesiol 8:383–90

    Article  PubMed  CAS  Google Scholar 

  • Feldman AG, Adamovitch SV, Ostry DJ, Flanagan JR (1990) The origin of electromyograms—explanations based on the equilibrium point hypothesis. In: Winters JM, Woo SL-Y (eds) Multiple muscle systems biomechanics and movement organization. Springer, Berlin Heidelberg New York, pp 195–213

    Google Scholar 

  • Flanagan JR, Wing AM (1993) Modulation of grip force with load force during point-to-point arm movements. Exp Brain Res 95:131–143

    Article  PubMed  CAS  Google Scholar 

  • Flanagan JR, Wing AM (1997) The role of internal models in motion planning and control: evidence from grip force adjustments during movements of hand-held loads. J Neurosci 17:1519–528

    PubMed  CAS  Google Scholar 

  • Gandolfo F, Mussa-Ivaldi FA, Bizzi E (1996) Motor learning by field approximation. Proc Natl Acad Sci USA 93:3843–3846

    Article  PubMed  CAS  Google Scholar 

  • Ghafouri M, Feldman AG (2001) The timing of control signals underlying fast point-to-point movements. Exp Brain Res 137:411–423

    Article  PubMed  CAS  Google Scholar 

  • Goodbody SJ, Wolpert DM (1998) Temporal and amplitude generalization in motor learning. J Neurophysiol 79:1825–1838

    PubMed  CAS  Google Scholar 

  • Gottlieb GL, Corcos DM, Agarwal GC (1989) Organizing principles for single-joint movements. I. Speed-insensitive strategy. J Neurophysiol 62:343–357

    Google Scholar 

  • Gribble PL, Ostry DJ (1999) Compensation for interaction torques during single- and multijoint limb movement. J Neurophysiol 82:2310–2326

    PubMed  CAS  Google Scholar 

  • Gribble PL, Ostry DJ (2000) Compensation for loads during arm movements using equilibrium-point control. Exp Brain Res 135:474–482

    Article  PubMed  CAS  Google Scholar 

  • Gribble PL, Ostry DJ, Sanguineti V, Laboissière R (1998) Are complex control signals required for human arm movement? J Neurophysiol 79:1409–1424

    PubMed  CAS  Google Scholar 

  • Houk JC (1976) An assessment of of stretch-reflex function. Prog Brain Res 44:303–314

    PubMed  CAS  Google Scholar 

  • Jenmalm P, Aniansson-Zdolsek H, Holt PG, Bjorksten B (2000) Visual and tactile information about object-curvature control fingertip forces and grasp kinematics in human dexterous manipulation. J Neurophysiol 84:2984–2997

    PubMed  CAS  Google Scholar 

  • Kawato M (1999) Internal models for motor control and trajectory planning. Curr Opin Neurobiol 9:718–727

    Article  PubMed  CAS  Google Scholar 

  • Lackner JR, Dizio P (1994) Rapid adaptation to Coriolis force perturbations of arm trajectory. J Neurophysiol 72:1–15

    Google Scholar 

  • Levin MF, Dimov M (1997) Spatial zones for muscle coactivation and the control of postural stability. Brain Res 757:43–59

    Article  PubMed  CAS  Google Scholar 

  • Levin MF, Lamarre Y, Feldman AG (1995) Control variables and proprioceptive feedback in fast single-joint movement. Can J Physiol Pharmacol 73:316–330

    PubMed  CAS  Google Scholar 

  • Levin MF, Selles RW, Verheul MHG, Meijer OG (2000) Deficits in the coordination of agonist and antagonist muscles in stroke patients: implications for normal motor control. Brain Res 853:352–369

    Article  PubMed  CAS  Google Scholar 

  • Matthews PBC (1959) The dependence of tension upon extension in the stretch reflex of the soleus of the decerebrate cat. J Physiol 47:521–546

    Google Scholar 

  • Massion J, Alexandrov A, Frolov A (2004) Why and how are posture and movement coordinated? Prog Brain Res 143:13–27

    Article  PubMed  Google Scholar 

  • Mihaltchev P, Archambault PS, Feldman AG, Levin MF (2005) Control of double-joint arm posture in adults with unilateral brain damage. Exp Brain Res 163:468–486

    Article  PubMed  CAS  Google Scholar 

  • Mussa-Ivaldi FA, Hogan N, Bizzi E (1985) Neural, mechanical and geometric factors subserving arm posture in humans. J Neurosci 5:2732–2743

    PubMed  CAS  Google Scholar 

  • Nichols TR, Houk JC (1973) Reflex compensation for variations in the mechanical properties of a muscle. Science 181:182–184

    Article  PubMed  CAS  Google Scholar 

  • Nichols TR, Steeves JD (1986) Resetting of resultant stiffness in ankle flexor and extensor muscles in the decerebrated cat. Exp Brain Res 62:401–410

    Article  PubMed  CAS  Google Scholar 

  • Ostry DJ, Feldman AG (2003) A critical evaluation of the force control hypothesis in motor control. Exp Brain Res 221:275–288

    Article  Google Scholar 

  • Pilon J-F, Feldman AG (2006) Threshold control of motor actions prevents destabilizing effects of proprioceptive delays. Exp Brain Res (in press)

  • Pilon J-F, De Serres SJ, Feldman AG (2005) Threshold control of arm movement while holding an object: no need for invoking internal models. Neurosci Abstr (in press)

  • Popescu FC, Hidler JM, Rymer ZW (2003) Elbow impedance in goal-directed movements. Exp Brain Res 152:17–28

    Article  PubMed  Google Scholar 

  • Schweighofer N, Arbib MA, Kawato M (1998) Role of cerebellum in reaching movements in humans. I. Distributed inverse dynamic control. Eur J Neurosci 10:86–94

    Article  PubMed  CAS  Google Scholar 

  • Shadmehr R, Mussa-Ivaldi FA (1994) Adaptive representation of dynamics during learning of a motor task. J Neurosci 14:3208–3224

    PubMed  CAS  Google Scholar 

  • Sherrington CS (1910) Flexion reflex of the limb, crossed extension reflex, and reflex stepping and standing. J Physiol 40:28–121

    PubMed  CAS  Google Scholar 

  • St-Onge N, Feldman AG (2004) Referent configuration of the body: A global factor in the control of multiple skeletal muscles. Exp Brain Res 155:291–300

    Article  PubMed  Google Scholar 

  • Von Holst E, Mittelstaedt H. (1950/1973) Daz Raefferezprincip. Wechselwirkungen zwischen Zentralnerven-system und Peripherie. Naturwissenschaften 37:467–476, 1950. The reafference principle. In: Martin R (ed) The behavioral physiology of animals and man. The collected papers of Erich von Holst. University of Miami Press, Coral Gables, pp 139–173

  • Weeks DL, Aubert MP, Feldman AG, Levin MF (1996) One-trial adaptation of movement to changes in load. J Neurophysiol 75:60–74

    PubMed  CAS  Google Scholar 

Download references

Acknowledgments

We thank Mindy Levin for comments, Philippe Archambault and Michel Goyette for technical help. Supported by FQRNT, NSERC and CIHR (Canada)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anatol G. Feldman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Foisy, M., Feldman, A.G. Threshold control of arm posture and movement adaptation to load . Exp Brain Res 175, 726–744 (2006). https://doi.org/10.1007/s00221-006-0591-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00221-006-0591-7

Keywords

Navigation