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Movement duration does not affect automatic online control.

Erin K Cressman1, Brendan D Cameron, Melanie Y Lam

  • 1School of Human Kinetics, University of Ottawa, Canada.

Human Movement Science
|August 31, 2010
PubMed
Summary
This summary is machine-generated.

Even in slow aiming movements, automatic processes influence initial reach trajectories. Intentions guide the overall movement outcome, but the automatic system engages at movement onset.

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Area of Science:

  • Motor control
  • Human movement science
  • Cognitive neuroscience

Background:

  • Fast aiming movements are automatically adjusted online to target jumps.
  • Slower movements are typically completed as instructed, with less online modification.
  • The role of intentional control in the initial stages of slow movements remains unclear.

Purpose of the Study:

  • To investigate if intentional control can guide the initial phase of slow aiming movements.
  • To examine the interplay between automatic and intentional systems during slow goal-directed movements.
  • To determine the influence of movement speed on the online correction of reaching trajectories.

Main Methods:

  • Participants performed slow (500ms) and very slow (1200ms) aiming movements towards targets that jumped at movement onset.
  • Participants were instructed to either point towards ('pro-point') or away from ('anti-point') the target jump.
  • Movement trajectories were analyzed to assess the influence of intention and automatic responses.

Main Results:

  • In the 'anti-point' condition, initial movement trajectories deviated towards the target jump, contrary to intention.
  • A subsequent corrective response in the intended direction was observed.
  • Movement outcome was ultimately guided by the intentional system, despite initial automatic influence.

Conclusions:

  • The automatic system is engaged at movement onset even in slow aiming movements.
  • Intentional control governs the final movement outcome, but not necessarily the initial trajectory.
  • A dual-process model likely explains motor control during slow, perturbed movements.