Whole-brain dynamics of human sensorimotor adaptation

Area of Science:

• Neuroscience
• Motor Control
• Cognitive Science

Background:

• Human motor learning exhibits significant individual variability.
• The underlying neural mechanisms driving this variability remain largely unknown.
• Understanding these mechanisms is crucial for optimizing motor skill acquisition.

Purpose of the Study:

• To investigate the neural correlates of individual differences in sensorimotor adaptation.
• To link brain network dynamics during early learning to subsequent adaptation profiles.
• To elucidate the roles of cognitive and memory systems in motor learning variability.

Main Methods:

• Functional network dynamics were analyzed across two days of sensorimotor adaptation tasks.
• Whole-brain functional network analysis was employed to identify distinct neural profiles.
• Correlations between early network activity and learning rates were examined.

Main Results:

• Distinct sensorimotor adaptation profiles emerged across participants over two days.
• Early recruitment of a cognitive network (prefrontal, anterior temporal cortex) correlated with faster learning.
• Integration of the cognitive network with sensorimotor networks was associated with slower learning.
• Hippocampal network recruitment on day two predicted faster relearning, suggesting declarative memory involvement.

Conclusions:

• Higher-order brain systems significantly contribute to individual variability in sensorimotor adaptation.
• Early cognitive strategy engagement and its interaction with sensorimotor networks shape initial learning.
• Declarative memory systems, involving the hippocampus, are critical for efficient relearning of motor skills.