Bimanual force coordination using the vector coding approach: Quantifying coordination quantity and quality

Area of Science:

• Motor Control
• Human Movement Science
• Neuroscience

Background:

• Bimanual coordination is crucial for daily activities.
• Understanding motor control strategies in bimanual tasks is essential.
• Previous research has explored bimanual force control but lacked detailed coordination analysis.

Purpose of the Study:

• To investigate bimanual force coordination in healthy young adults using a vector coding method.
• To assess the relationship between bimanual force coordination and bimanual dexterity.
• To explore how different force levels influence coordination strategies.

Main Methods:

• 36 healthy young adults participated.
• Participants performed bimanual force control at 10% and 40% of maximum voluntary contraction (MVC).
• Vector coding analysis quantified coordination quantity and quality; Purdue Pegboard Test assessed dexterity.

Main Results:

• Force accuracy decreased at higher force levels (40% MVC).
• Lower force (10% MVC) showed more left-right hand phasing; higher force (40% MVC) showed more in-phase coordination.
• Anti-phase coordination, though less frequent, offered superior error correction quality.
• Increased anti-phase coordination at 40% MVC was linked to enhanced bimanual dexterity.

Conclusions:

• Vector coding provides a novel method to quantify bimanual coordination quantity and quality.
• Different force levels elicit distinct motor control strategies for bimanual tasks.
• Anti-phase coordination plays a significant role in skilled bimanual performance and dexterity.