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The neural correlates of motor skill automaticity
Russell A Poldrack1, Fred W Sabb, Karin Foerde
1Department of Psychology, University of California, Los Angeles, Los Angeles, California 90095-1563, USA. poldrack@ucla.edu
Summary
Learning new skills reduces effortful control, leading to automaticity. Brain imaging reveals reduced activation in specific frontal and striatal regions as task performance becomes automatic.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Motor Learning
Background:
- Skill acquisition typically involves a transition from effortful control to automaticity.
- Automaticity is characterized by minimal performance disruption when multitasking.
- Understanding the neural underpinnings of automaticity is crucial for cognitive and motor learning research.
Purpose of the Study:
- To investigate the neural basis of automaticity during skill acquisition.
- To identify brain regions involved in the shift from novice to automatic performance.
- To examine how functional brain activity changes with extensive practice in a serial reaction time task.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to monitor brain activity.
- Subjects performed a serial reaction time (SRT) task under single-task and dual-task conditions.
- Behavioral training over multiple days was employed to induce automaticity, with fMRI scans before and after training.
Main Results:
- Behavioral data confirmed the automation of the SRT task after training.
- Initially, dual-task performance activated widespread frontal, striatal, and parietal regions.
- Post-training, reduced activation was observed in specific areas like the ventral premotor cortex and right middle frontal gyrus during dual-task performance.
Conclusions:
- Lateral and dorsolateral prefrontal regions and their striatal connections are key for novice dual-task executive control.
- Training-related decreases in the supplementary motor area and basal ganglia (putamen/globus pallidus) support the representation of learned motor sequences.
- Automaticity is associated with a reallocation of neural resources, with reduced reliance on executive control networks.