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Feedforward and feedback processes in motor control.

R D Seidler1, D C Noll, G Thiers

  • 1Neuromotor Behavior Laboratory, Division of Kinesiology, University of Michigan, Ann Arbor, MI 48109-2214, USA. rseidler@umich.edu

Neuroimage
|July 28, 2004
PubMed
Summary
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This study used functional magnetic resonance imaging (fMRI) to reveal brain regions involved in motor control. Larger targets engaged feedforward control and brain areas like the motor cortex, while smaller targets engaged feedback control and areas like the cerebellum.

Area of Science:

  • Neuroscience
  • Motor Control Research
  • Brain Imaging

Background:

  • Previous studies examined motor control by isolating variables like speed and force.
  • Natural movements involve complex interactions of these factors, influencing performance.
  • Understanding neural mechanisms of motor control under natural conditions is crucial.

Purpose of the Study:

  • To investigate brain regions contributing to feedback and feedforward motor control.
  • To examine neural responses to global shifts in motor performance.
  • To correlate brain activation with task difficulty and control strategies.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) to observe brain activity.
  • Subjects performed a joystick task hitting targets of varying sizes.

Related Experiment Videos

  • Parametric changes in target size induced speed-accuracy tradeoffs.

    • Main Results:

    • Activation positively correlated with target size (feedforward control) in primary motor cortex, premotor cortex, and basal ganglia.
    • Activation negatively correlated with target size (feedback control) in sensorimotor cortex, cerebellum, and thalamus.
    • Identified distinct brain regions modulated by task difficulty.

    Conclusions:

    • Elucidated specific cortical and subcortical brain regions involved in feedforward and feedback motor control.
    • Demonstrated how brain activation shifts along the feedforward-feedback continuum with task demands.
    • Provided insights into the neural basis of adaptive motor performance.