Intermittent Visual Feedback Can Boost Motor Learning of Rhythmic Movements: Evidence for Error Feedback Beyond Cycles

被引:13
|
作者
Ikegami, Tsuyoshi [1 ,2 ,3 ]
Hirashima, Masaya [1 ]
Osu, Rieko [3 ]
Nozaki, Daichi [1 ]
机构
[1] Univ Tokyo, Grad Sch Educ, Bunkyo Ku, Tokyo 1130033, Japan
[2] Natl Inst Informat & Commun Technol, Adv ICT Res Inst, Seika, Kyoto 6190288, Japan
[3] Adv Telecommun Res Inst Int, Computat Neurosci Lab, Kyoto 6190288, Japan
来源
JOURNAL OF NEUROSCIENCE | 2012年 / 32卷 / 02期
关键词
PLASTICITY; PREDICTION; DISCRETE; MEMORY; MODEL;
D O I
10.1523/JNEUROSCI.4230-11.2012
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Movement error is a driving force behind motor learning. For motor learning with discrete movements, such as point-to-point reaching, it is believed that the brain uses error information of the immediately preceding movement only. However, in the case of continuous and repetitive movements (i.e., rhythmic movements), there is a ceaseless inflow of performance information. Thus, an accurate temporal association of the motor commands with the resultant movement errors is not necessarily guaranteed. We investigated how the brain overcomes this challenging situation. Human participants adapted rhythmic movements between two targets to visuomotor rotations, the amplitudes of which changed randomly from cycle to cycle (the duration of one cycle was similar to 400 ms). A system identification technique revealed that the motor adaptation was affected not just by the preceding movement error, but also by a history of errors from the previous cycles. Error information obtained from more than one previous cycle tended to increase, rather than decrease, movement error. This result led to a counterintuitive prediction: providing visual error feedback for only a fraction of cycles should enhance visuomotor adaptation. As predicted, we observed that motor adaptation to a constant visual rotation (30 degrees) was significantly enhanced by providing visual feedback once every fourth or fifth cycle rather than for every cycle. These results suggest that the brain requires a specific processing time to modify the motor command, based on the error information, and so is unable to deal appropriately with the overwhelming flow of error information generated during rhythmic movements.
引用
收藏
页码:653 / 657
页数:5
相关论文
共 50 条
  • [31] PROPRIOCEPTIVE AND VISUAL FEEDBACK IN THE LEARNING OF 2 GROSS MOTOR-SKILLS
    GRAYDON, JK
    TOWNSEND, J
    INTERNATIONAL JOURNAL OF SPORT PSYCHOLOGY, 1984, 15 (04) : 227 - 235
  • [32] Effects of correct and transformed visual feedback on rhythmic visuo-motor tracking: Tracking performance and visual search behavior
    Roerdink, M
    Peper, CE
    Beek, PJ
    HUMAN MOVEMENT SCIENCE, 2005, 24 (03) : 379 - 402
  • [33] Bio-inspired adaptive feedback error learning architecture for motor control
    Silvia Tolu
    Mauricio Vanegas
    Niceto R. Luque
    Jesús A. Garrido
    Eduardo Ros
    Biological Cybernetics, 2012, 106 : 507 - 522
  • [34] Bio-inspired adaptive feedback error learning architecture for motor control
    Tolu, Silvia
    Vanegas, Mauricio
    Luque, Niceto R.
    Garrido, Jesus A.
    Ros, Eduardo
    BIOLOGICAL CYBERNETICS, 2012, 106 (8-9) : 507 - 522
  • [35] The effects of self-controlled feedback and error estimation on motor skill learning
    Fairbrother, Jeffrey T.
    Meisterjahn, Rainer J.
    Jensen, Peter R.
    JOURNAL OF SPORT & EXERCISE PSYCHOLOGY, 2010, 32 : S76 - S76
  • [36] The Role of Visual Error and Reward Feedback in Learning to Aim to an Optimal Movement Endpoint
    LeBlanc, Kevin A.
    Sanderson, Chelsey K.
    Neyedli, Heather F.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2020, 46 (09) : 1001 - 1012
  • [37] Dependence on visual feedback during motor skill learning in Alzheimer's disease
    Dick, MB
    Andel, R
    Bricker, J
    Gorospe, JB
    Hsieh, S
    Dick-Muehlke, C
    AGING NEUROPSYCHOLOGY AND COGNITION, 2001, 8 (02) : 120 - 136
  • [39] Integration of visual feedback and motor learning: Corticospinal vs. corticobulbar pathway
    Park, Seoung Hoon
    Casamento-Moran, Agostina
    Singer, Michele L.
    Ernster, Alayna E.
    Yacoubi, Basma
    Humbert, Ianessa A.
    Christou, Evangelos A.
    HUMAN MOVEMENT SCIENCE, 2018, 58 : 88 - 96
  • [40] The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning
    Alimardani, Maryam
    Nishio, Shuichi
    Ishiguro, Hiroshi
    PLOS ONE, 2016, 11 (09):