全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Learning Arm/Hand Coordination with an Altered Visual Input

DOI: 10.1155/2010/520781

Full-Text   Cite this paper   Add to My Lib

Abstract:

The focus of this study was to test a novel tool for the analysis of motor coordination with an altered visual input. The altered visual input was created using special glasses that presented the view as recorded by a video camera placed at various positions around the subject. The camera was positioned at a frontal (F), lateral (L), or top (T) position with respect to the subject. We studied the differences between the arm-end (wrist) trajectories while grasping an object between altered vision (F, L, and T conditions) and normal vision (N) in ten subjects. The outcome measures from the analysis were the trajectory errors, the movement parameters, and the time of execution. We found substantial trajectory errors and an increased execution time at the baseline of the study. We also found that trajectory errors decreased in all conditions after three days of practice with the altered vision in the F condition only for 20 minutes per day, suggesting that recalibration of the visual systems occurred relatively quickly. These results indicate that this recalibration occurs via movement training in an altered condition. The results also suggest that recalibration is more difficult to achieve for altered vision in the F and L conditions compared to the T condition. This study has direct implications on the design of new rehabilitation systems. 1. Introduction Visual information plays an important role in both planning and executing goal-directed movements. When planning the reaching aspect of the “reach to grasp movement,” vision provides information about the object’s properties (shape, size, and position in space) as described in detail many years ago by Jeannerod [1]. During the execution of the action, the proprioceptive system (muscle spindles, Golgi tendon organs, and joint receptors) sends information to the central nervous system, which is then used for estimation of the accuracy of the execution. In parallel, vision provides feedback, which allows corrections if they are required [2]. The performance depends on the level of mastery in executing the movement that follows the learning. The role of vision during reaching to grasp was studied in detail by either preventing the subject from viewing either only the hand or both the object and the hand during movement (this is often referred to as visual open loop; e.g., [3–5]). The results of previous studies agree that preventing vision during the reaching movement affects movement parameters (i.e., hand-target distance at the initiation of aperture closure, grip aperture amplitude, wrist velocity, and

References

[1]  M. Jeannerod, “Intersegmental coordination during reaching at natural visual objects,” in Attention and Performance IX, J. Long and A. Baddeey, Eds., pp. 153–168, Erlbaum, Hillsdale, Mich, USA, 1981.
[2]  M. Jeannerod, “Visuomotor channels: their integration in goal-directed prehension-,” Human Movement Science, vol. 18, no. 2-3, pp. 201–218, 1999.
[3]  M. Jeannerod, “The timing of natural prehension movements,” Journal of Motor Behavior, vol. 16, pp. 235–254, 1984.
[4]  L. S. Jakobson and M. A. Goodale, “Factors affecting higher-order movement planning: a kinematic analysis of human prehension,” Experimental Brain Research, vol. 86, no. 1, pp. 199–208, 1991.
[5]  L. F. Schettino, S. V. Adamovich, and H. Poizner, “Effects of object shape and visual feedback on hand configuration during grasping,” Experimental Brain Research, vol. 151, no. 2, pp. 158–166, 2003.
[6]  N. E. Berthier, R. K. Clifton, V. Gullapalli, D. D. McCall, and D. J. Robin, “Visual information and object size in the control of reaching,” Journal of Motor Behavior, vol. 28, no. 3, pp. 187–197, 1996.
[7]  J. D. Connolly and M. A. Goodale, “The role of visual feedback of hand position in the control of manual prehension,” Experimental Brain Research, vol. 125, no. 3, pp. 281–286, 1999.
[8]  S. J. Watt and M. F. Bradshaw, “Binocular cues are important in controlling the grasp but not the reach in natural prehension movements,” Neuropsychologia, vol. 38, no. 11, pp. 1473–1481, 2000.
[9]  S. A. Winges, D. J. Weber, and M. Santello, “The role of vision on hand preshaping during reach to grasp,” Experimental Brain Research, vol. 152, no. 4, pp. 489–498, 2003.
[10]  S. R. Jackson, G. M. Jackson, and J. Rosicky, “Are non-relevant objects represented in working memory? The effect of non-target objects on reach and grasp kinematics,” Experimental Brain Research, vol. 102, no. 3, pp. 519–530, 1995.
[11]  L. F. Schettino, S. V. Adamovich, W. Hening, E. Tunik, J. Sage, and H. Poizner, “Hand preshaping in Parkinson's disease: effects of visual feedback and medication state,” Experimental Brain Research, vol. 168, no. 1-2, pp. 186–202, 2006.
[12]  M. Gentilucci, I. Toni, S. Chieffi, and G. Pavesi, “The role of proprioception in the control of prehension movements: a kinematic study in a peripherally deafferented patient and in normal subjects,” Experimental Brain Research, vol. 99, no. 3, pp. 483–500, 1994.
[13]  A. Churchill, B. Hopkins, L. R?nnqvist, and S. Vogt, “Vision of the hand and environmental context in human prehension,” Experimental Brain Research, vol. 134, no. 1, pp. 81–89, 2000.
[14]  P. Servos, M. A. Goodale, and L. S. Jakobson, “The role of binocular vision in prehension: a kinematic analysis,” Vision Research, vol. 32, no. 8, pp. 1513–1521, 1992.
[15]  S. R. Jackson, C. A. Jones, R. Newport, and C. Pritchard, “A kinematic analysis of goal-directed prehension movements executed under binocular, monocular, and memory-guided viewing conditions,” Visual Cognition, vol. 4, no. 2, pp. 113–142, 1997.
[16]  P. Baraduc and D. M. Wolpert, “Adaptation to a visuomotor shift depends on the starting posture,” Journal of Neurophysiology, vol. 88, no. 2, pp. 973–981, 2002.
[17]  K. Yamamoto, D. S. Hoffman, and P. L. Strick, “Rapid and long-lasting plasticity of input-output mapping,” Journal of Neurophysiology, vol. 96, no. 5, pp. 2797–2801, 2006.
[18]  J. W. Krakauer, C. Ghez, and M. F. Ghilardi, “Adaptation to visuomotor transformations: consolidation, interference, and forgetting,” Journal of Neuroscience, vol. 25, no. 2, pp. 473–478, 2005.
[19]  S. J. Goodbody and D. M. Wolpert, “Temporal and amplitude generalization in motor learning,” Journal of Neurophysiology, vol. 79, no. 4, pp. 1825–1838, 1998.
[20]  Y. Rossetti, G. Rode, and D. Boisson, “Implicit processing of somaesthetic information: a dissociation between where and how?” NeuroReport, vol. 6, no. 3, pp. 506–510, 1995.
[21]  M. P. M. Kammers, I. J. M. van der Ham, and H. C. Dijkerman, “Dissociating body representations in healthy individuals: differential effects of a kinaesthetic illusion on perception and action,” Neuropsychologia, vol. 44, no. 12, pp. 2430–2436, 2006.
[22]  R. J. Van Beers, A. C. Sittig, and J. J. Gon, “Integration of proprioceptive and visual position-information: an experimentally supported model,” Journal of Neurophysiology, vol. 81, no. 3, pp. 1355–1364, 1999.
[23]  C. Kaernbach, L. Munka, and D. Cunningham, “Visuomotor adaptation: dependency on motion trajectory,” in Dynamic Perception, R. Würtz and M. Lappe, Eds., pp. 177–182, Infix, St. Augustin, Fla, USA, 2002.
[24]  F. L. Bedford, “Keeping perception accurate,” Trends in Cognitive Sciences, vol. 3, no. 1, pp. 4–11, 1999.
[25]  I. Pennel, Y. Coello, and J.-P. Orliaguet, “Frame of reference and adaptation to directional bias in a video-controlled reaching task,” Ergonomics, vol. 45, no. 15, pp. 1047–1077, 2002.
[26]  R. Germain, F. Boy, J. P. Orliaguet, and Y. Coello, “Visual and motor constraints on trajectory planning in pointing movements,” Neuroscience Letters, vol. 372, no. 3, pp. 235–239, 2004.
[27]  C. Ferrel, D. Leifflen, J.-P. Orliaguet, and Y. Coello, “Pointing movement visually controlled through a video display: adaptation to scale change,” Ergonomics, vol. 43, no. 4, pp. 461–473, 2000.
[28]  A. J. Van Opstal and J. A. M. Van Gisbergen, “Skewness of saccadic velocity profiles: a unifying parameter for normal and slow saccades,” Vision Research, vol. 27, no. 5, pp. 731–745, 1987.
[29]  B. Sivak and C. L. MacKenzie, “Integration of visual information and motor output in reaching and grasping: the contributions of peripheral and central vision,” Neuropsychologia, vol. 28, no. 10, pp. 1095–1116, 1990.
[30]  S. Chieffi and M. Gentilucci, “Coordination between the transport and the grasp components during prehension movements,” Experimental Brain Research, vol. 94, no. 3, pp. 471–477, 1993.
[31]  F. L. Bedford, “Perceptual and cognitive spatial learning,” Journal of Experimental Psychology, vol. 19, no. 3, pp. 517–530, 1993.
[32]  J. R. Lackner and P. Dizio, “Rapid adaptation to Coriolis force perturbations of arm trajectory,” Journal of Neurophysiology, vol. 72, no. 1, pp. 299–313, 1994.
[33]  T. A. Martin, J. G. Keating, H. P. Goodkin, A. J. Bastian, and W. T. Thach, “Throwing while looking through prisms II. Specificity and storage of multiple gaze-throw calibrations,” Brain, vol. 119, no. 4, pp. 1199–1211, 1996.
[34]  G. M. Redding and B. Wallace, “Adaptive spatial alignment and strategic perceptual-motor control,” Journal of Experimental Psychology, vol. 22, no. 2, pp. 379–394, 1996.
[35]  D. M. Clower and D. Boussaoud, “Selective use of perceptual recalibration versus visuomotor skill acquisition,” Journal of Neurophysiology, vol. 84, no. 5, pp. 2703–2708, 2000.
[36]  M. Gentilucci, S. Chieffi, E. Daprati, M. C. Saetti, and I. Toni, “Visual illusion and action,” Neuropsychologia, vol. 34, no. 5, pp. 369–376, 1996.
[37]  M. Gentilucci, E. Daprati, M. Gangitano, and I. Toni, “Eye position tunes the contribution of allocentric and egocentric information to target localization in human goal-directed arm movements,” Neuroscience Letters, vol. 222, no. 2, pp. 123–126, 1997.
[38]  R. B. Welch and A. C. Sampanes, “Adapting to virtual environments: visual-motor skill acquisition versus perceptual recalibration,” Displays, vol. 29, no. 2, pp. 152–158, 2008.
[39]  M. B. Popovi?, D. B. 30. Popovi?, T. Sinkj?r, A. Stefanovi?, and L. Schwirtlich, “Clinical evaluation of functional electrical therapy in acute hemiplegic subjects,” Journal of Rehabilitation Research and Development, vol. 40, no. 5, pp. 443–453, 2003.
[40]  V. S. Huang and J. W. Krakauer, “Robotic neurorehabilitation: a computational motor learning perspective,” Journal of NeuroEngineering and Rehabilitation, vol. 6, article no. 5, 2009.
[41]  D. j. Klisi?, M. Kosti?, S. Do?en, and D. B. Popovi?, “Control of prehension for the transradial prosthesis: natural-like image recognition system,” Journal of Automatic Control, vol. 19, no. 1, pp. 27–31, 2009.
[42]  S. Do?en and D. B. Popovi?, “Transradial prosthesis: artificial vision for control of prehension,” Artificial Organs. In press.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133