Computer-aided training sensorimotor cortex functions in humans before the upper limb transplantation using virtual...

Area of Science:

• Neuroscience
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Voluntary movement control after upper limb transplantation remains a significant challenge.
• Brain cortex plasticity suggests mental training with feedback can reorganize the sensorimotor cortex for functional recovery.
• Current pre-transplantation training lacks methods to enhance motor control preparation.

Purpose of the Study:

• To propose and evaluate a computer-aided training (CAT) system to enhance mental training effectiveness before upper limb transplantation.
• To investigate the impact of visual and sensory feedback on sensorimotor cortex reorganization.
• To assess the system's potential for improving motor control in patients with limb deficiencies.

Main Methods:

• Development of a CAT system featuring a virtual hand with visual feedback via VR headset.
• Integration of sensory feedback simulating touch through mechanical vibration.
• Utilizing a therapist's panel for training course control.
• Case study involving a patient with bilateral upper limb congenital transverse deficiency.

Main Results:

• The CAT system successfully generated visual and sensory stimuli for mental training.
• Observed beneficial changes in brain activity related to motor control (reaching).
• Demonstrated the potential of the system in a patient with congenital limb deficiency.

Conclusions:

• Mental training augmented with the CAT system's visual and sensory feedback shows promise for improving pre-surgical motor control.
• The system leverages brain plasticity principles to potentially enhance outcomes for upper limb transplantation.
• Further research is warranted to validate the CAT system's efficacy in a broader patient population.