Neuroengineering tools/applications for bidirectional interfaces, brain-computer interfaces, and neuroprosthetic...

Area of Science:

• Neuroscience
• Biomedical Engineering

Background:

• Neuroprosthetics have a long history, with recent neuroengineering advancements enabling more accurate and robust systems.
• Bidirectional interfaces are crucial for brain-computer interfaces (BCIs), integrating brain recording with information relay.

Purpose of the Study:

• To provide a comprehensive overview of current human in vivo techniques for BCIs, bidirectional interfaces, and neuroprosthetics.
• To discuss challenges and solutions in neuroprosthetic development, including biocompatibility and sensory feedback.

Main Methods:

• Exploration of non-invasive and invasive brain activity recording techniques (e.g., electroencephalography, near-infrared spectroscopy).
• Discussion of implant biocompatibility strategies (coatings, materials, shapes) to mitigate gliosis.
• Review of sensory feedback mechanisms (micro-stimulation, transcranial magnetic stimulation) for enhanced neural integration.

Main Results:

• Recent progress allows for the design of more accurate, repeatable, and robust BCIs and neuroprosthetic systems.
• Various neuroprosthetic types, including visual, auditory, and limb prosthetics, are examined.
• Control of external devices like wheelchairs, computers, and robotics via BCIs is detailed.

Conclusions:

• Neuroengineering innovations are driving significant improvements in brain-computer interfaces and neuroprosthetics.
• Addressing biocompatibility, power, data transmission, and sensory feedback is key to successful neuroprosthetic implementation.
• BCIs offer promising avenues for controlling external devices and restoring lost function.