Strengthening the GABAergic System Through Neurofeedback Training Suppresses Implicit Motor Learning

Area of Science:

• Neuroscience
• Motor Control
• Neuroplasticity

Background:

• Gamma-aminobutyric acid (GABA) in the primary motor cortex (M1) is crucial for motor learning and cortical plasticity.
• Real-time neurofeedback training (NFT) has shown potential for self-regulating GABA activity.

Purpose of the Study:

• To investigate how strengthening GABA activity using NFT affects subsequent motor learning.
• To determine the impact of enhanced GABAergic function on both online and offline motor learning phases.

Main Methods:

• Thirty-six healthy participants were randomized into NFT or sham control groups.
• GABA activity was assessed via short intracortical inhibition (SICI) in M1 using transcranial magnetic stimulation.
• Participants engaged in a task to modulate SICI (NFT group) or received sham feedback (control group).
• Motor learning was evaluated using reaction time in a finger-tapping task before, immediately after, and 24 hours after the intervention.

Main Results:

• NFT intervention successfully strengthened GABA activity, as indicated by changes in SICI.
• Online motor learning, measured by immediate reaction time improvements, was suppressed in the NFT group compared to controls.
• Offline motor learning, assessed 24 hours later, showed no significant difference between the groups.

Conclusions:

• Prior modulation of GABA activity via NFT can suppress immediate (online) motor learning.
• The findings suggest a differential effect of GABAergic modulation on distinct phases of motor learning.
• Further research is needed to elucidate the precise mechanisms underlying GABA's role in online versus offline motor skill acquisition.