Finger coordination during discrete and oscillatory force production tasks

We used the framework of the uncontrolled manifold (UCM) hypothesis to analyze the structure of finger force variability in discrete (ramp) and oscillatory force production tasks performed by the index and middle fingers of the right hand acting in parallel. Subjects performed the tasks at fast and slow rates, with and without a visual template presented on the screen. The variance of finger forces was partitioned into two components, compensated variance (VCOMP), which did not affect total force, and uncompensated variance (VUN), which affected total force. Only minor effects of task (discrete or oscillatory) and of template (with or without) were seen on the variance profiles, leading us to conclude that the basic principles of synergy organization are common across discrete and oscillatory tasks. In contrast, the rate of force production had major effects on the structure of force variance. A modification of Goodman’s model of motor variability was used to analyze the dependences VUN and VCOMP on the magnitude of force and on the rate of force production. VUN showed a strong relation to the rate of force production and only weak dependence on the magnitude of force. In contrast, VCOMP showed minimal effects of the rate of force production and strong effects of the force magnitude. The findings are interpreted as demonstrations of a limitation in the ability of the central nervous system to organize a twofinger synergy such that errors in the timing of individual finger force profiles are canceling each other’s effects on the total force. In contrast, the synergy is efficiently intercompensating errors related to imprecise setting of force magnitudes of the two fingers.

[1]  J. Foley The co-ordination and regulation of movements , 1968 .

[2]  Donald O. Walter,et al.  Models of the structural-functional organization of certain biological systems , 1973 .

[3]  R. Granit,et al.  Relations of reflexes and intended movements. , 1976, Progress in brain research.

[4]  K. Newell,et al.  Kinetic analysis of response variability , 1984 .

[5]  M. Hoy,et al.  Intralimb coordination of the paw-shake response: a novel mixed synergy. , 1985, Journal of neurophysiology.

[6]  G. Gottlieb,et al.  Organizing principles for single-joint movements. IV. Implications for isometric contractions. , 1990, Journal of neurophysiology.

[7]  M. Latash,et al.  An equilibrium-point model for fast, single-joint movement: II. Similarity of single-joint isometric and isotonic descending commands. , 1991, Journal of motor behavior.

[8]  K. Newell Motor skill acquisition. , 1991, Annual review of psychology.

[9]  B. Vereijken,et al.  Free(z)ing Degrees of Freedom in Skill Acquisition , 1992 .

[10]  M. Latash Control of human movement , 1993 .

[11]  M Desmurget,et al.  Postural and synergic control for three-dimensional movements of reaching and grasping. , 1995, Journal of neurophysiology.

[12]  G. Schöner Recent Developments and Problems in Human Movement Science and Their Conceptual Implications , 1995 .

[13]  Loukia D. Loukopoulos,et al.  Planning reaches by evaluating stored postures. , 1995, Psychological review.

[14]  Jinsung Wang,et al.  Coordination among the body segments during reach-to-grasp action involving the trunk , 1998, Experimental Brain Research.

[15]  Vladimir M. Zatsiorsky,et al.  Coordinated force production in multi-finger tasks: finger interaction and neural network modeling , 1998, Biological Cybernetics.

[16]  M. Latash,et al.  Force sharing among fingers as a model of the redundancy problem , 1998, Experimental Brain Research.

[17]  Gregor Schöner,et al.  The uncontrolled manifold concept: identifying control variables for a functional task , 1999, Experimental Brain Research.

[18]  K. Newell,et al.  Noise, information transmission, and force variability. , 1999, Journal of experimental psychology. Human perception and performance.

[19]  J. F. Soechting,et al.  Force synergies for multifingered grasping , 2000, Experimental Brain Research.

[20]  M. Latash,et al.  Enslaving effects in multi-finger force production , 2000, Experimental Brain Research.

[21]  Gregor Schöner,et al.  Identifying the control structure of multijoint coordination during pistol shooting , 2000, Experimental Brain Research.

[22]  Stefan Schaal,et al.  Interaction of rhythmic and discrete pattern generators in single-joint movements , 2000 .

[23]  R. Blank,et al.  Development of externally guided grip force modulation in man , 2000, Neuroscience Letters.

[24]  M. Hayhoe,et al.  The coordination of eye, head, and hand movements in a natural task , 2001, Experimental Brain Research.

[25]  G. Schöner,et al.  Effects of varying task constraints on solutions to joint coordination in a sit-to-stand task , 2001, Experimental Brain Research.

[26]  D. Domkin,et al.  Structure of joint variability in bimanual pointing tasks , 2002, Experimental Brain Research.

[27]  M. Latash,et al.  Structure of motor variability in marginally redundant multifinger force production tasks , 2001, Experimental Brain Research.

[28]  Gregor Schöner,et al.  Understanding finger coordination through analysis of the structure of force variability , 2002, Biological Cybernetics.

[29]  M. Latash,et al.  Motor Control Strategies Revealed in the Structure of Motor Variability , 2002, Exercise and sport sciences reviews.

[30]  G. Schöner,et al.  A dynamic theory of coordination of discrete movement , 1990, Biological Cybernetics.

[31]  Simon R. Gutman,et al.  Basic functions of variability of simple pre-planned movements , 2004, Biological Cybernetics.

[32]  Mark L. Latash,et al.  Kinematic description of variability of fast movements: analytical and experimental approaches , 1993, Biological Cybernetics.

[33]  C. Ghez,et al.  Trajectory control in targeted force impulses , 1987, Experimental Brain Research.