The science and engineering behind sensitized brain-controlled bionic hands.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Rehabilitation Technology

Background:

• Neural interfaces enable monitoring and activation of neurons, advancing brain function understanding.
• Brain-machine interfaces (BMIs) leverage neural signals for limb reanimation and device control.
• BMIs offer potential for restoring motor function and the sense of touch.

Purpose of the Study:

• To review neural mechanisms of motor control and somatosensation.
• To describe approaches for movement restoration using neural signals.
• To explore sensory restoration via neural pathway activation.

Main Methods:

• Monitoring neuronal responses in motor regions to decode motor intent.
• Electrical activation of neurons in somatosensory regions for tactile feedback.
• Focus on intracortical approaches, with mention of alternative and noninvasive strategies.

Main Results:

• BMIs can control prosthetic limbs and exoskeletons by interpreting motor intent.
• Restoration of touch is achievable by evoking tactile sensations through neural activation.
• Both intracortical and noninvasive strategies are being developed for BMIs.

Conclusions:

• Advances in neural interfaces are crucial for developing effective brain-machine interfaces.
• BMIs hold significant promise for restoring motor function and sensory perception.
• Future research includes exploring diverse signal sources and noninvasive techniques for broader applications.