Learning a Single Joint Perception-Action Coupling: A Pilot Study

  • Ryu, Young-Uk (Department of Physical Therapy, College of Health Science, Catholic University of Daegu)
  • 투고 : 2010.11.03
  • 심사 : 2010.12.06
  • 발행 : 2010.12.25

초록

Purpose: This study examined the influence of visuomotor congruency on learning a relative phase relationship between a single joint movement and an external signal. Methods: Participants (N=5) were required to rhythmically coordinate elbow flexion-extension movements with a continuous sinusoidal wave (0.375 Hz) at a $90^{\circ}$ relative phase relationship. The congruent group was provided online feedback in which the elbow angle decreased (corresponding to elbow flexion) as the angle trajectory was movingup, and vice versa. The incongruent group was provided online feedback in which the elbow angle decreased as the angle trajectory was moving down, and vice versa. There were two practice sessions (day 1 and 2) and each session consisted of 6 trials per block (5 blocks per session). Retention tests were performed 24 hours after session 2, and only the external sinusoidal wave was provided. Repeated ANOVAs were used for statistical analysis. Results: During practice, the congruent group was significantly less variable than the incongruent group. Phase variability in the incongruent group did not significantly change across blocks, while variability decreased significantly in the congruent group. In retention, the congruent group produced the required $90^{\circ}$ relative phase pattern with significantly less phase variability than the incongruent group. Conclusions: Congruent visual feedback facilitates learning. Moreover, the deprivation of online feedback does not affect the congruent group but does affect the incongruent group in retention.

키워드

참고문헌

  1. Shin WS, Song CH. Effects of virtual reality-based exercise on static balance and gait abilities in chronic stroke. J Kor Soc Phys Ther. 2009;21(3):33-40.
  2. Chung JH. The effect of training using virtual reality system on sitting balance and activities of daily living for the patient with spinal cord injury. J Kor Soc Phys Ther. 2009;21(2):31-8.
  3. Salesse R, Temprado JJ, Swinnen SP. Interaction of neuromuscular, spatial and visual constrains on hand-foot coordination dynamics. Hum Mov Sci. 2005;24(1):66-80. https://doi.org/10.1016/j.humov.2004.12.002
  4. Ryu YU, Buchanan JJ. Learning an environment-actor coordination skill: visuomotor transformation and coherency of perceptual structure. Exp Brain Res. 2009;196(2):279-93. https://doi.org/10.1007/s00221-009-1847-9
  5. Bogaerts H, Buekers MJ, Zaal FT et al.When visuomotor incongruence aids motor performance: the effect of perceiving motion structures during transformed visual feedback on bimanual coordination. Behav Brain Res. 2003;138(1):45-57. https://doi.org/10.1016/S0166-4328(02)00226-7
  6. Salesse R, Temprado JJ.The effect of visuomotor transformations on hand-foot coordination: evidence in favor of the incongruency hypothesis. Acta Psychol (Amst). 2005;119(2): 143-57. https://doi.org/10.1016/j.actpsy.2004.12.002
  7. Mechsner F, Kerzel D, Knoblich G et al. Perceptual basis of bimanual coordination. Nature. 2001;414(6859):69-71. https://doi.org/10.1038/35102060
  8. Howland D, Noble ME. The effect of physical constraints of a control on tracking performance. Journal of Experimental Psychology. 1955;46:353-60.
  9. Weir DJ, Stein JF, Miall RC. Cue and control strategies in visually guided tracking. J Mot Behav. 1989;21(3):185-204.
  10. Liao MJ, Jagacinski RJ. A dynamical systems approach to manual tracking performance. J Mot Behav. 2000;32(4): 361-78. https://doi.org/10.1080/00222890009601386
  11. Tass P, Kurths J, Rosenblum MG et al. Delay-induced transitions in visually guided movements. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1996;54(3):R2224-7. https://doi.org/10.1103/PhysRevE.54.R2224
  12. Wimmers RH, Beek PJ, van Wieringen PCW. Phasetransitions in rhythmic tracking movements: a case of unilateral coupling. Hum Mov Sci. 1992;11(1-2):217-26. https://doi.org/10.1016/0167-9457(92)90062-G
  13. Haken H, Kelso JAS, Bunz H. A theoritical model of phase transitions in bimanual coordination. Biological Cybernetic. 1985;51(5):347-56. https://doi.org/10.1007/BF00336922
  14. Kelso JAS, Scholz JP, Schoner G. Non-equilibrium phase transitions in coordinated biological motion: critical fluctuations. Physics Letters A. 1986;118(6):279-84. https://doi.org/10.1016/0375-9601(86)90359-2
  15. Zanone PG, Kelso JAS.The evolution of behavioral attractors with learning: nonequilibrium phase transitions. J Exp Psychol Hum Percept Perform. 1992;18(2):403-21.
  16. Zanone PG, Kelso JAS. Coordination dynamics of learning and transfer: collective and component levels. J Exp Psychol Hum Percept Perform. 1997;23(5):1454-80.
  17. Buchanan JJ. Learning a single limb multi-joint coordination pattern: The impact of a mechanical constraint on the coordination dynamics of learning and transfer. Exp Brain Res. 2005;156(1):39-54.
  18. Buchanan JJ, Zihlman K, Ryu YU et al. Learning and transfer of a relative phase pattern and a joint amplitude ratio in a rhythmic multijoint arm movement. J Mot Behav. 2007; 39(1):49-67. https://doi.org/10.3200/JMBR.39.1.49-67
  19. Wenderoth N, Bock O, Krohn R. Learning a new bimanual coordination pattern is influenced by existing attractors. Motor Control. 2002;6(2):166-82.
  20. Zaal FT, Bingham GP, Schmidt RC. Visual perception of mean relative phase and phase variability. J Exp Psychol Hum Percept Perform. 2000;26(3):1209-20.