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Where grasps are made reveals how grasps are planned: generation and recall of motor plans

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Abstract

The end-state comfort effect (Rosenbaum et al. 1990, 1992, 1993, 1996) predicts that people will grasp an object for transport in a way that allows joints to be in mid-range at the end of the transport. When participants in the present study took hold of a vertical cylinder to move it to a new position, grasp heights on the cylinder were inversely related to the height of the target position, as predicted by the end-state comfort effect. This demonstrates that where people grasp objects can give insight into the planning of movement. In the computational model of motor planning developed by Rosenbaum et al. (1995, 2001) it is assumed that goal postures are planned by a two-stage process of recall and generation. The distinction between recall and generation had not so far been tested. In the present study, the pattern of grasp heights in successive transports was consistent with the view that participants generated a plan the first time they moved the cylinder between two points, and that they subsequently recalled what they had done before, making small adjustments to that recalled plan. This outcome provides evidence for distinct effects of recall and generation on movement planning.

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Fig. 1
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Fig. 3A–D
Fig. 4A–D

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Notes

  1. We did not predict a main effect of repetition in any of our hypotheses. Since this effect did not recur in subsequent experiments, we consider it a statistical artifact.

  2. Figure 2 does not show first-time and second-time transports separately even though the ANOVA yielded a significant repetition effect. The reason for not showing the two transports is that the repetition effect was small and not replicated in subsequent experiments. We averaged over first- and second-time grasp heights in each direction of movement here to make this figure comparable to the analogous figures for Experiments 2 and 3.

  3. The ANOVA revealed two other interactions: (1) direction × repetition, F (1,36)=4.50, p<.05; and (2) repetition × condition, F (3,36)=3.3, p<.05. However, when we compared individual points with the best-fitting lines through the remaining four points for every subject, direction, and repetition, we found that 8 points out of 800 were more than 3.5 standard deviations away from the best-fitting, theoretical value on the line. When each of these outliers was removed and replaced with its corresponding theoretical point on the line, both of the foregoing interactions disappeared. Based on this outcome, we considered these two interactions to be statistical artifacts.

References

  • Arbib MA, Iberall T, Lyons D (1985) Coordinated control programs for movements of the hand. In: Goodwin AW, Darian-Smith I (eds) Hand function and the neocortex. Springer, Berlin Heidelberg New York, pp 111–129

  • Blakemore SJ, Wolpert DM, Frith CD (2002) Abnormalities in the awareness of action. Trends Cogn Sci 6:237–242

    Article  PubMed  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

    CAS  PubMed  Google Scholar 

  • de Lussanet MHE, Smeets JBJ, Brenner E (2001) The effect of expectations on hitting moving targets: Influence of the preceding target’s speed. Exp Brain Res 137:246–248

    PubMed  Google Scholar 

  • de Lussanet MHE, Smeets JBJ, Brenner E (2002) The relation between task history and movement strategy. Behav Brain Res 129:51–59

    Article  PubMed  Google Scholar 

  • Forssberg H, Kinoshita H, Eliasson AC, Johansson RS, Westling G, Gordon AM (1992) Development of human precision grip. 2. Anticipatory control of isometric forces targeted for objects’ weight. Exp Brain Res 90:393–398

    CAS  PubMed  Google Scholar 

  • Glover SR, Dixon P (2001) Dynamic illusion effects in a reaching task: Evidence for separate visual representations in the planning and control of reaching. J Exp Psychol Hum Percept Perform 27:560–572

    CAS  PubMed  Google Scholar 

  • Hermsdörfer J, Buchner K, Kerkhoff G, Mai N, Goldenberg G (1999) Effects of unilateral brain damage on grip selection, coordination, and kinematics of prehension movements. Exp Brain Res 128:41–51

    Article  PubMed  Google Scholar 

  • Iberall T, Bingham G, Arbib M (1986) Opposition space as a structuring concept for the analysis of skilled hand movements. Exp Brain Res 15:158–173

    Google Scholar 

  • Jax SA, Rosenbaum DA, Vaughan J, Meulenbroek RGJ (2003) Computational motor control and human factors: Modeling movements in real and possible environments. Hum Factors 45:5–27

    PubMed  Google Scholar 

  • Jeannerod M (1984) The timing of natural prehension movement. J Motor Behav 26:235–254

    Google Scholar 

  • Logan GD (1988) Toward an instance theory of automatization. Psychol Rev 95:492–527

    Article  Google Scholar 

  • Logan GD (2002) An instance theory of attention and memory. Psychol Rev 109:376–400

    PubMed  Google Scholar 

  • MacKenzie CL, Iberall T (1994) The grasping hand. North-Holland, Amsterdam

  • Marteniuk RG, MacKenzie CL, Jeannerod M, Athenes S, Dugas C (1987) Constraints on human arm movement trajectories. Can J Psychol 4:365–378

    Google Scholar 

  • Miall RC, Wolpert DM (1996) Forward models for physiological motor control. Neural Netw 9:1265–1279

    Article  Google Scholar 

  • Rosenbaum DA, Jorgensen MJ (1992) Planning macroscopic aspects of manual control. Hum Mov Sci 11:61–69

    Article  Google Scholar 

  • Rosenbaum DA, Marchak F, Barnes HJ, Vaughan J, Slotta J, Jorgensen M (1990) Constraints for action selection: Overhand versus underhand grips. In: Jeannerod M (ed) Attention and performance XIII: Motor representation and control. Lawrence Erlbaum Associates, Hillsdale, NJ, pp 321–342

  • Rosenbaum DA, Vaughan J, Jorgensen MJ, Barnes HJ, Stewart E (1993) Plans for object manipulation. In: Meyer DE, Kornblum S (eds) Attention and performance XIV—A silver jubilee: Synergies in experimental psychology, artificial intelligence and cognitive neuroscience. MIT Press, Bradford Books, Cambridge, MA, pp 803–820

  • Rosenbaum DA, Loukopoulos LD, Meulenbroek RGM, Vaughan J, Engelbrecht SE (1995) Planning reaches by evaluating stored postures. Psychol Rev 102:28–67

    CAS  PubMed  Google Scholar 

  • Rosenbaum DA, Heugten CV, Caldwell GC (1996) From cognition to biomechanics and back: The end-state comfort effect and the middle-is-faster effect. Acta Psychol 94:59–85

    CAS  Google Scholar 

  • Rosenbaum DA, Meulenbroek RG, Vaughan J, Jansen C (2001) Posture-based motion planning: Applications to grasping. Psychol Rev 108:709–734

    CAS  PubMed  Google Scholar 

  • Rossetti Y, Meckler C, Prablanc C (1994) Is there an optimal arm posture? Deterioration of finger localization precision and comfort sensation in extreme arm-joint postures. Exp Brain Res 99:131–136

    CAS  PubMed  Google Scholar 

  • Short MW, Cauraugh JH (1997) Planning macroscopic aspects of manual control: End state comfort and point-of-change effects. Acta Psychol 96:133–147

    CAS  Google Scholar 

  • Short MW, Cauraugh JH (1999) Precision hypothesis and the end state comfort effect. Acta Psychol 100:243–252

    CAS  Google Scholar 

  • Steenbergen B, Hulstijn W, Dortmans S (2000) Constraints on grip selection in cerebral palsy—Minimising discomfort. Exp Brain Res 134:385–397

    Article  CAS  PubMed  Google Scholar 

  • Stelmach GE, Castiello U, Jeannerod M (1994) Orienting the finger opposition space during prehension movements. J Motor Behav 26:178–186

    Google Scholar 

  • Wing AM, Haggard P, Flanagan R (eds) (1996) Hand and brain: Neurophysiology and psychology of hand movement. Academic Press, San Diego

    Google Scholar 

  • Wolpert DM, Flanagan JR (2001) Motor prediction. Curr Biol 11:729–732

    Google Scholar 

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Acknowledgements

We thank Sarah Benjamin, Robin Fleckenstein, Erin Halloran, and Kristin Sopronyi for help with experimental design, data collection, and data analysis. We also thank Kim Balent for help with digitizing and Mike Blaguszewski for help with figure preparation. Jason Augustyn and Steven Jax made helpful comments during the conduct of this research, and two anonymous reviewers helped us improve the quality of the article. The work was supported by grant SBR-94-96290 from the National Science Foundation, grants KO2-MH0097701A1 and R15 NS41887-01 from the National Institute of Mental Health, and the Research and Graduate Studies Office of The College of Liberal Arts, Pennsylvania State University.

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Correspondence to Rajal G. Cohen.

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Cohen, R.G., Rosenbaum, D.A. Where grasps are made reveals how grasps are planned: generation and recall of motor plans. Exp Brain Res 157, 486–495 (2004). https://doi.org/10.1007/s00221-004-1862-9

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