Decrease in cortical activation during learning of a multi-joint discrete motor task

被引:38
|
作者
Ikegami, Tsuyoshi [1 ]
Taga, Gentaro [1 ,2 ]
机构
[1] Univ Tokyo, Grad Sch Educ, Bunkyo Ku, Tokyo 1130033, Japan
[2] Japan Sci & Technol Agcy, CREST, Saitama, Japan
关键词
NIRS; Motor learning; Multi-joint movements; Discrete movements;
D O I
10.1007/s00221-008-1518-2
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Understanding how the brain learns motor skills remains a very challenging task. To elucidate the neural mechanism underlying motor learning, we assessed brain activation changes on a trial-by-trial basis during learning of a multi-joint discrete motor task (kendama task). We used multi-channel near-infrared spectroscopy (NIRS) while simultaneously measuring upper limb movement changes by using a 3D motion capture system. Fourteen right-handed participants performed the task using their right upper limb while sitting a chair. The task involved tossing a ball connected by a string to the kendama stick (picking up movement) and catching the ball in the cup attached to the stick (catching movement). Participants performed a trial every 20 s for 90 trials. We measured the hemodynamic responses [oxygenated hemoglobin (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb) signals] around the predicted location of the sensorimotor cortices on both hemispheres. Analysis of the NIRS data revealed that the magnitudes of the event-related oxy-Hb responses to each trial decreased significantly as learning progressed. Analysis of movement data revealed that integrated upper limb muscle torques decreased significantly only for the picking up movements as learning progressed, irrespective of the outcome of the trials. In contrast, dispersion of the movement patterns decreased significantly only for the catching movements in the unsuccessful trials. Furthermore, we found significant positive correlations between the changes in the magnitudes of the oxy-Hb responses and those of the integrated upper limb muscle torques during learning. Our results suggest that the decrease in cortical activation in the sensorimotor cortex reflects changes in motor commands during learning of a multi-joint discrete movement.
引用
收藏
页码:221 / 236
页数:16
相关论文
共 50 条
  • [41] Cortical ensemble activity increasingly predicts behaviour outcomes during learning of a motor task
    Mark Laubach
    Johan Wessberg
    Miguel A. L. Nicolelis
    [J]. Nature, 2000, 405 : 567 - 571
  • [42] Primary motor cortex underlies multi-joint integration for fast feedback control
    Pruszynski, J. Andrew
    Kurtzer, Isaac
    Nashed, Joseph Y.
    Omrani, Mohsen
    Brouwer, Brenda
    Scott, Stephen H.
    [J]. NATURE, 2011, 478 (7369) : 387 - +
  • [43] Primary motor cortex underlies multi-joint integration for fast feedback control
    J. Andrew Pruszynski
    Isaac Kurtzer
    Joseph Y. Nashed
    Mohsen Omrani
    Brenda Brouwer
    Stephen H. Scott
    [J]. Nature, 2011, 478 : 387 - 390
  • [44] MEG cortical activation during sleep correlated with improvement of a motor sequence learning
    Tamaki, Masako
    Huang, Tsung-Ren
    Lin, Fa-Hsuan
    Hamalainen, Matti
    Yotsumoto, Yuko
    Watanabe, Takeo
    Sasaki, Yuka
    [J]. NEUROSCIENCE RESEARCH, 2010, 68 : E77 - E77
  • [45] The influence of fatigue on multi-muscle and multi-joint coordination during hammering
    Cote, J
    Levin, MF
    Feldman, AG
    [J]. ARCHIVES OF PHYSIOLOGY AND BIOCHEMISTRY, 2000, 108 (1-2) : 88 - 88
  • [46] Individual Differences in Learning a Novel Discrete Motor Task
    Golenia, Laura
    Schoemaker, Marina M.
    Mouton, Leonora J.
    Bongers, Raoul M.
    [J]. PLOS ONE, 2014, 9 (11):
  • [47] Changes in prefrontal cortical activation during motor imagery of precision gait with age and task difficulty
    Kotegawa, Kohei
    Yasumura, Akira
    Teramoto, Wataru
    [J]. BEHAVIOURAL BRAIN RESEARCH, 2021, 399
  • [48] Motion Control of a Multi-joint Robotic Fish Based on Biomimetic Learning
    Ren, Qinyuan
    Xu, Jianxin
    Guo, Zhaoqin
    Ru, Yi
    [J]. 2014 IEEE 23RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2014, : 1566 - 1571
  • [49] Intersegment Dynamics In Multi-joint Control Of The Lower Limb During Walking
    Liu, Yu
    Yin, Keyi
    Wang, Donghai
    Yu, Jiabin
    Yang, Chen
    Sun, Yuliang
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (05): : 414 - 414
  • [50] A method for measuring endpoint stiffness during multi-joint arm movements
    Burdet, E
    Osu, R
    Franklin, DW
    Yoshioka, T
    Milner, TE
    Kawato, M
    [J]. JOURNAL OF BIOMECHANICS, 2000, 33 (12) : 1705 - 1709