Motor adaptation is guided by state estimation, a dynamic prediction of the interaction consequences between body and environment in the sensorimotor system. Previous studies have shown that the posterior parietal cortex (PPC) and cerebellum are potential candidates for state estimators. However, neither direct evidence linking neural substrates of state estimation and motor adaptation nor the differences in state estimation in these two brain areas was presented. A comparison of neuromodulation effects over PPC and cerebellum in motor adaptation tasks could provide direct evidence to solve the knowledge gap. Objective: This study aims to provide direct evidence to link state estimation and motor adaptation, and the neuromodulation effects of PPC and cerebellum in motor adaptation by using anodal transcranial direct current stimulation.
This was a single-blind, sham-controlled study. All participants were randomized to the PPC, cerebellum, and sham stimulation group. The ankle tracking system was used to record the ankle tracking visuomotor task during the motor learning phase, motor adaptation phase, and motor re-adaptation phase. Normalized root-mean squared error (RMSE) and RMSE reduction rate were measured as the performance outcome. A 20-minute atDCS at 2 mA anodal tDCS was given during the motor adaptation phase. The immediate effect and after effect of tDCS were seen in the motor adaptation phase and motor re-adaptation phase, respectively.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
SINGLE
Enrollment
60
20-minutes, 2 mA anodal tDCS delivering through two 5 cm x 7 cm electrodes
20-minutes, 0 mA anodal tDCS delivering through two 5 cm x 7 cm electrodes
National Taiwan University
Taipei, Taiwan
Block root-mean squared error (RMSE)
RMSE is the error between target trajectory and subject cursor trajectory. Every 5 trials of RMSE were averaged into one block.
Time frame: 2 hours during the time of assessment of the participant
RMSE reduction rate
ΔRMSEi-(i+1) = (RMSEi - RMSEi+1) / RMSEi x 100%
Time frame: 2 hours during the time of assessment of the participant
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