Motor imagery of tool use: relationship to actual use and adherence to Fitts’ law across tasks

A Fitts’ task was used to investigate how tools are incorporated into the internal representations that underlie pointing movements, and whether such knowledge can be generalized across tasks. We measured the speed-accuracy trade-offs that occurred as target width was varied for both real and imagined movements. The dynamics of the pointing tool used in the task were manipulated—regular pen, top-heavy tool, and bottom-heavy tool—to test the fidelity of internal representations of movements involving the use of novel tools. To test if such representations can be generalized, the orientation of the pointing task was also manipulated (horizontal vs. vertical). In all conditions, both real and imagined performances conformed to the speed-accuracy relationship described by Fitts’ law. We found significant differences in imagined MTs for the two weighted tools compared to the regular pen, but not between the weighted tools. By contrast, real movement durations differed between all tools. These results indicate that even relatively brief experience using novel tools is sufficient to influence the internal representation of the dynamics of the tool-limb system. However, in the absence of feedback, these representations do not make explicit differences in performances resulting from the unique dynamics of these weighted tools.

[1]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[2]  P. Maruff,et al.  Abnormalities of motor and praxis imagery in children with DCD. , 2001, Human movement science.

[3]  M. Lotze,et al.  Motor imagery , 2006, Journal of Physiology-Paris.

[4]  K. J. Cole,et al.  Strength increases from the motor program: comparison of training with maximal voluntary and imagined muscle contractions. , 1992, Journal of neurophysiology.

[5]  D. Landers,et al.  The effects of mental practice on motor skill learning and performance: A meta-analysis. , 1983 .

[6]  Y Agid,et al.  Congruent unilateral impairments for real and imagined hand movements , 1995, Neuroreport.

[7]  Carolyn Copper,et al.  Does mental practice enhance performance , 1994 .

[8]  Paul Maruff,et al.  The effect of an external load on the force and timing components of mentally represented actions , 2000, Behavioural Brain Research.

[9]  R. Gentili,et al.  Inertial properties of the arm are accurately predicted during motor imagery , 2004, Behavioural Brain Research.

[10]  Andrew B. Slifkin,et al.  High loads induce differences between actual and imagined movement duration , 2008, Experimental Brain Research.

[11]  Steven C. Cramer,et al.  Effects of motor imagery training after chronic, complete spinal cord injury , 2007, Experimental Brain Research.

[12]  M. Jeannerod,et al.  Mentally simulated movements in virtual reality: does Fitt's law hold in motor imagery? , 1995, Behavioural Brain Research.

[13]  C. Richards,et al.  Potential role of mental practice using motor imagery in neurologic rehabilitation. , 2001, Archives of physical medicine and rehabilitation.

[14]  Scott H. Frey,et al.  Human Anterior Intraparietal and Ventral Premotor Cortices Support Representations of Grasping with the Hand or a Novel Tool , 2010, Journal of Cognitive Neuroscience.

[15]  Scott H. Johnson-Frey Stimulation through simulation? Motor imagery and functional reorganization in hemiplegic stroke patients , 2004, Brain and Cognition.

[16]  Scott H. Frey,et al.  Handedness-dependent and -independent cerebral asymmetries in the anterior intraparietal sulcus and ventral premotor cortex during grasp planning , 2011, NeuroImage.

[17]  Michel Dufossé,et al.  Origin of error signals during cerebellar learning of motor sequences , 1997, Behavioral and Brain Sciences.

[18]  E. R. F. W. Grossman,et al.  The Information-Capacity of the Human Motor-System in Pursuit Tracking , 1960 .

[19]  R Plamondon,et al.  Speed/accuracy trade-offs in target-directed movements , 1997, Behavioral and Brain Sciences.

[20]  S. Page,et al.  Mental Practice in Chronic Stroke: Results of a Randomized, Placebo-Controlled Trial , 2007, Stroke.

[21]  M. Jeannerod,et al.  The timing of mentally represented actions , 1989, Behavioural Brain Research.

[22]  Catalina Llanos,et al.  The kinematics of motor imagery: Comparing the dynamics of real and virtual movements , 2009, Neuropsychologia.

[23]  S. Blakemore,et al.  Adolescent development of motor imagery in a visually guided pointing task , 2007, Consciousness and Cognition.

[24]  Susanne Ferber,et al.  Selective, Non-lateralized Impairment of Motor Imagery Following Right Parietal Damage , 2002, Neurocase.

[25]  J. Baron,et al.  Motor Imagery: A Backdoor to the Motor System After Stroke? , 2006, Stroke.

[26]  Marco Schieppati,et al.  Imagined and actual arm movements have similar durations when performed under different conditions of direction and mass , 2002, Experimental Brain Research.

[27]  A. Sirigu,et al.  The Mental Representation of Hand Movements After Parietal Cortex Damage , 1996, Science.

[28]  Catalina Llanos,et al.  How similar are motor imagery and movement? , 2008, Behavioral neuroscience.