A systematic assessment of previously proposed fMRI metrics of motor sequence learning reveals widespread activity reductions and subtle multivariate pattern changes outside of primary motor cortex.
State anxiety alters the dynamics of beta oscillations during reward-dependent motor learning, thereby impairing proper updating of motor predictions when learning in unstable environments.
Dimensionality reduction approaches on functional MRI data reveal that human reward-based motor learning emerges from dynamic changes in functional brain network interactions among sensorimotor, attention, and default mode networks.
Stefan M Lemke, Dhakshin S Ramanathan ... Karunesh Ganguly
Sleep spindles, distinctive brain activity patterns occurring in non-REM sleep, modify cross-area connectivity in the motor network relevant for behavioral flexibility, impacting subsequent behavior.
Major neuronal subtypes in M1 show differential responses to reward and reward-associated stimuli and undergo cell-type-specific plasticity following associative learning.