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Greater reliance on impedance control in the nondominant arm compared with the dominant arm when adapting to a novel dynamic environment

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Abstract

This study investigated differences in adaptation to a novel dynamic environment between the dominant and nondominant arms in 16 naive, right-handed, neurologically intact subjects. Subjects held onto the handle of a robotic manipulandum and executed reaching movements within a horizontal plane following a pseudo-random sequence of targets. Curl field perturbations were imposed by the robot motors, and we compared the rate and quality of adaptation between dominant and nondominant arms. During the early phase of the adaptation time course, the rate of motor adaptation between both arms was similar, but the mean peak and figural error of the nondominant arm were significantly smaller than those of the dominant arm. Also, the nondominant limb’s aftereffects were significantly smaller than in the dominant arm. Thus, the controller of the nondominant limb appears to have relied on impedance control to a greater degree than the dominant limb when adapting to a novel dynamic environment. The results of this study imply that there are differences in dynamic adaptation between an individual’s two arms.

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References

  • Bagesteiro LB, Sainburg RL (2002) Handedness: Dominant arm advantages in control of limb dynamics. J Neurophysiol 88:2408–2421

    Article  PubMed  Google Scholar 

  • Brashers-Krug T, Shadmehr R, Bizzi E (1996) Consolidation in human motor memory. Nature 382:252–255

    Article  PubMed  CAS  Google Scholar 

  • Caithness G, Osu R, Chase H, Klassen J, Kawato M, Wolpert DM, Flanagan JR (2004) Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. J Neurosci 24(40):8662–8671

    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 74:2174–2178

    Google Scholar 

  • Criscimagna-Hemminger SE, Donchin O, Gazzaniga MS, Shadmehr R (2003) Learned dynamics of reaching movements generalize from dominant to nondominant arm. J Neurophysiol 89:168–176

    Article  PubMed  Google Scholar 

  • Duff SV, Sainburg RL (2006) Lateralization of motor adaptation reveals independence in control of trajectory and steady-state position. Exp Brain Res Dec 15 (Epub ahead of print)

  • Flanagan JR, Wing AM (1997) The role of internal models in motor planning and control: evidence from grip force adjustments during movements of hand-held loads. J Neurosci 17:1519–1528

    PubMed  CAS  Google Scholar 

  • Flash T, Mussa-Ivaldi F (1990) Human arm stiffness characteristics during the maintenance of posture. Exp Brain Res 82(2):315–326

    Article  PubMed  CAS  Google Scholar 

  • Franklin DW, Milner TE (2003) Adaptive control of stiffness to stabilize hand position with large loads. Exp Brain Res 152:211–220

    Article  PubMed  Google Scholar 

  • Franklin DW, Osu R, Burdet E, Kawato M, Milner TE (2003) Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model. J Neurophysiol 90:3270–3282

    Article  PubMed  Google Scholar 

  • Gomi J, Osu R (1998) Task-dependent viscoelasticity of human multijoint arm and its spatial characteristics for interaction with environments. J Neurosci 18:8965–8978

    PubMed  CAS  Google Scholar 

  • Gomi J, Osu R (1999) Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals. J Neurophysiol 81:1458–1468

    PubMed  Google Scholar 

  • Hidler J, Nichols D, Pelliccio M, Brady K (2005) Advances in the understanding and treatment of stroke impairment using robotic devices. Top Stroke Rehabil 12(2):22–35

    Article  PubMed  Google Scholar 

  • Lum PS, Reinkensmeyer DJ, Mahoney R, Rymer WZ, Burgar CG (2002) Clinical considerations in the use of robotic devices for movement therapy following stroke. Top Stroke Rehabil 8(4):40–53

    Article  PubMed  Google Scholar 

  • Malfait N, Ostry DJ (2004) Is interlimb transfer of force-field adaptation a cognitive response to the sudden introduction of load? J Neurosci 24:8084–8089

    Article  PubMed  CAS  Google Scholar 

  • Milner TE, Franklin DW (2005) Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans. J Physiol 567:651–664

    Article  PubMed  CAS  Google Scholar 

  • Milner TE, Hinder MR (2006) Position information but not force information is used in adapting to changes in environmental dynamics. J Neurophysiol 96:526–534

    Article  PubMed  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  Google Scholar 

  • Nozaki D, Kurtzer I, Scott SH (2006) Limited transfer of learning between unimanual, bimanual skills within the same limb. Nat Neurosci 9(11):1364–1366

    Article  PubMed  CAS  Google Scholar 

  • Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh Inventory. Neuropsychologia 1:97–113

    Article  Google Scholar 

  • Osu R, Burdet E, Franklin DW, Milner TE, Kawato M (2003) Different mechanisms involved in adaptation to stable and unstable dynamics. J Neurophysiol 90:3255–3269

    Article  PubMed  Google Scholar 

  • Parlow SE, Kingsbourne M (1989) Asymmetrical transfer of training between hands: Implications for interhemispheric communication in normal brain. Brain Cogn 11:98–113

    Article  PubMed  CAS  Google Scholar 

  • Patton JL, Stoykov ME, Kovic M, Mussa-Ivaldi FA (2006) Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors. Exp Brain Res 168:368–383

    Article  PubMed  Google Scholar 

  • Sainburg RL (2002) Evidence for a dynamic-dominance hypothesis of handedness. Exp Brain Res 142:241–258

    Article  PubMed  Google Scholar 

  • Sainburg RL, Duff SV (2006) Does motor lateralization have implications for stroke rehabilitation? JRRD 43:311–322

    Article  Google Scholar 

  • Sainburg RL, Kalakanis D (2000) Differences in control of limb dynamics during dominant and nondominant arm reaching. J Neurophysiol 83:2661–2675

    PubMed  CAS  Google Scholar 

  • Sainburg RL, Wang J (2002) Interlimb transfer of visuomotor rotations: independence of direction and final position information. Exp Brain Res 145:437–447

    Article  PubMed  Google Scholar 

  • Scheidt RA, Stoeckmann T (2007) Reach Adaptation and Final Position Control Amid Environmental Uncertainty Following Stroke. J Neurophysiol Jan 31 (Epub ahead of print)

  • Scheidt RA, Reinkensmeyer DJ, Conditt MA, Rymer WZ, Mussa-Ivaldi FA (2000) Persistence of motor adaptation during constrained, multi-joint arm movements. J Neurophysiol 84:853–862

    PubMed  CAS  Google Scholar 

  • Scheidt RA, Dingwell J, Mussa-Ivaldi FA (2001) Learning to move amid uncertainty. J Neurophysiol 86:971–985

    PubMed  CAS  Google Scholar 

  • Shadmehr R, Brashers-Krug T (1997) Functional stages in the formation of human long-term motor memory. J Neurosci 17:409–419

    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 

  • Takahashi C, Reinkensmeyer D (2003) Hemiparetic stroke impairs anticipatory control of arm movement. Exp Brain Res 149:131–140

    PubMed  Google Scholar 

  • Takahashi C, Scheidt R, Reinkensmeyer D (2001) Impedance control and internal model formation when reaching in a randomly varying dynamical environment. J Neurophysiol 86:1047–1051

    PubMed  CAS  Google Scholar 

  • Taylor HG, Heilman KM (1980) Left-hemisphere motor dominance in righthanders. Cortex 16:587–603

    PubMed  CAS  Google Scholar 

  • Thoroughman KA, Shadmehr R (2000) Learning of action through adaptive combination of motor primitives. Nature 407:742–746

    Article  PubMed  CAS  Google Scholar 

  • Volpe BT, Ferraro M, Krebs HI, Hogan N (2002) Robotics in rehabilitation treatment of patients with stroke. Curr Atheroscler Rep 4(4):270–276

    Article  PubMed  Google Scholar 

  • Wang J, Sainburg RL (2004a) Limitations in interlimb transfer of visuomotor rotations. Exp Brain Res 155:1–8

    Article  PubMed  Google Scholar 

  • Wang J, Sainburg RL (2004b) Interlimb transfer of novel inertial dynamics is asymmetrical. J Neurophysiol 92:349–360

    Article  PubMed  Google Scholar 

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Acknowledgments

The authors would like to show our appreciation to Lindsay DiRomualdo, Daniela Monterrubio and Shannon O’Brien for assisting with subject recruitment, testing and analysis. We also acknowledge the Imaging Science and Information Systems (ISIS) Center at Georgetown University for providing the InMotion2 robot.

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Correspondence to Peter S. Lum.

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Schabowsky, C.N., Hidler, J.M. & Lum, P.S. Greater reliance on impedance control in the nondominant arm compared with the dominant arm when adapting to a novel dynamic environment. Exp Brain Res 182, 567–577 (2007). https://doi.org/10.1007/s00221-007-1017-x

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  • DOI: https://doi.org/10.1007/s00221-007-1017-x

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