Adaptation of arm trajectory during continuous drawing movements in different dynamic environments

被引:12
作者
Fukushi, T
Ashe, J [1 ]
机构
[1] VAMC, Brain Sci Ctr, Minneapolis, MN 55417 USA
[2] Univ Minnesota, Dept Neurosci, Minneapolis, MN 55455 USA
[3] Univ Minnesota, Dept Neurol, Minneapolis, MN 55455 USA
基金
美国国家科学基金会;
关键词
movement; force field; adaptation; dynamic; transformation; human;
D O I
10.1007/s00221-002-1260-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Human subjects can readily adapt their movement trajectories to different dynamic or visuomotor environments. The focus of the current study was to determine whether subjects could simultaneously adapt to multiple dynamic environments. Subjects (n=5) drew ellipses continuously for 70 s using a torquable manipulandurn under six distinct dynamic conditions, representing the combination of load type (spring, viscous, and inertia) and load direction (assisting and opposing). Each subject performed two control, ten load, and five washout trials. A significant effect of force condition on the trajectory of the movement was found in 26 of 30 cases (6 conditions x 5 subjects); the magnitude of the distortion differed across the conditions. The extent of adaptation also differed across the loads. Opposing inertia and viscosity led to fast adaptation. However, assisting inertia and viscosity were associated with relatively slow adaptation. The results of adaptation to the stiffness conditions were not consistent. Following sudden removal of the load we saw an additional disturbance of the trajectory (after-effect), which was often the mirror image of the original distortion. The shape and size of the after-effect were different across load conditions. These results show that human subjects can adapt to a variety of different dynamic transformations and that the time-course of adaptation is dependent on both the state space and the direction of the load.
引用
收藏
页码:95 / 104
页数:10
相关论文
共 52 条
[1]   Computational nature of human adaptive control during learning of reaching movements in force fields [J].
Bhushan, N ;
Shadmehr, R .
BIOLOGICAL CYBERNETICS, 1999, 81 (01) :39-60
[2]   Consolidation in human motor memory [J].
BrashersKrug, T ;
Shadmehr, R ;
Bizzi, E .
NATURE, 1996, 382 (6588) :252-255
[3]   The motor system does not learn the dynamics of the arm by rote memorization of past experience [J].
Conditt, MA ;
Gandolfo, F ;
MussaIvaldi, FA .
JOURNAL OF NEUROPHYSIOLOGY, 1997, 78 (01) :554-560
[4]   Central representation of time during motor learning [J].
Conditt, MA ;
Mussa-Ivaldi, FA .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1999, 96 (20) :11625-11630
[5]   MOTOR ADAPTATION TO CORIOLIS-FORCE PERTURBATIONS OF REACHING MOVEMENTS - END-POINT BUT NOT TRAJECTORY ADAPTATION TRANSFERS TO THE NONEXPOSED ARM [J].
DIZIO, P ;
LACKNER, JR .
JOURNAL OF NEUROPHYSIOLOGY, 1995, 74 (04) :1787-1792
[6]  
Flanagan JR, 1997, J NEUROSCI, V17, P1519
[7]   Composition and decomposition of internal models in motor learning under altered kinematic and dynamic environments [J].
Flanagan, JR ;
Nakano, E ;
Imamizu, H ;
Osu, R ;
Yoshioka, T ;
Kawato, M .
JOURNAL OF NEUROSCIENCE, 1999, 19 (20)
[8]   TRAJECTORY ADAPTATION TO A NONLINEAR VISUOMOTOR TRANSFORMATION - EVIDENCE OF MOTION PLANNING IN VISUALLY PERCEIVED SPACE [J].
FLANAGAN, JR ;
RAO, AK .
JOURNAL OF NEUROPHYSIOLOGY, 1995, 74 (05) :2174-2178
[9]   THE COORDINATION OF ARM MOVEMENTS - AN EXPERIMENTALLY CONFIRMED MATHEMATICAL-MODEL [J].
FLASH, T ;
HOGAN, N .
JOURNAL OF NEUROSCIENCE, 1985, 5 (07) :1688-1703
[10]  
Flash T, 1997, ADV PSYCHOL, V119, P423