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Updated: Jul 18, 2025
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Behavioral Assessment of Manual Dexterity in Non-Human Primates
Published on: November 11, 2011
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Don't plan, just do it: Cognitive and sensorimotor contributions to manual dexterity
Laura Bonzano1, Monica Biggio2, Sabrina Brigadoi3
1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Neuroimage
|August 25, 2023
Summary
Manual dexterity involves fine motor skills. This study found that slower performance on a manual dexterity test, the 9-peg hole test (9-HPT), correlated with increased prefrontal cortex activity, suggesting inefficient cognitive strategy recruitment.
Area of Science:
- Neuroscience
- Cognitive Science
- Motor Control
Background:
- Manual dexterity, the ability for fine motor movements, is linked to both sensorimotor and cognitive functions.
- Understanding the neural basis of manual dexterity is crucial for assessing cognitive-motor integration.
Purpose of the Study:
- To investigate cortical activations during a manual dexterity task using functional near-infrared spectroscopy (fNIRS).
- To compare brain activity between a complex manual dexterity task (9-peg hole test, 9-HPT) and a simpler sensorimotor control task (1-peg hole test, 1-HPT).
- To explore the relationship between performance differences and prefrontal cortex activation.
Main Methods:
- Functional near-infrared spectroscopy (fNIRS) was used to measure cortical activity.
- Participants performed the 9-HPT and a control 1-HPT.
- Behavioral data (execution time) were analyzed to group participants based on performance differences (ΔHPT).
Main Results:
- Two distinct behavioral groups emerged based on ΔHPT.
- Both groups showed activation in motor control networks.
- Participants with larger ΔHPT exhibited greater prefrontal cortex (right BA10, BA11) activation during tasks, unlike those with smaller ΔHPT who showed BA10 deactivation.
- A significant linear relationship was found between ΔHPT and right BA10 activity.
Conclusions:
- Slower performance in manual dexterity tasks (higher ΔHPT) is associated with increased recruitment of prefrontal areas, particularly BA10.
- This suggests that individuals may implicitly engage cognitive planning and attentional processes, which can be inefficient for manual dexterity.
- The findings highlight a complex interplay between cognitive control and motor execution in manual dexterity tasks.
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