Background: The effect of tacit learning systems (TLSs) on brain plasticity are as of yet unknown. We developed a myoelectric hand prosthesis equipped with a TLS to auto-regulate forearm rotation in response to upper extremity movement patterns.
Objective: To evaluate the effects of tacit learning on the central nervous system during a prosthesis control exercise.
Methods: The experienced prosthetic user performed a series of simple mechanical tasks with the TLS inactivated (the baseline condition) and then with it activated (the enhanced, experimental condition). The process was video recorded. Subsequently, the participant viewed video recordings of each condition (baseline and experimental) during magnetoencephalography and electroencephalography recordings.
Results: Stronger connections between the motor area and other cortical areas were observed, as indicated by a significant increase in coherence values.
Conclusions: Integration and interoperability may underlie tacit learning and promote motor function-related adaptive neuroplasticity.
Keywords: Tacit learning; amputation; artificial intelligence; magnetoencephalography; neuroplasticity; prosthesis.