Thought-Controlled Nanoscale Robots in a Living Host

Area of Science:

• Biotechnology
• Neuroscience
• Nanotechnology

Background:

• Brain-machine interfaces (BMIs) offer potential for controlling external devices with neural signals.
• Nanotechnology enables the development of microscopic robots for targeted applications.
• Current therapeutic delivery methods for neurological disorders face challenges in precision and control.

Purpose of the Study:

• To develop a novel BMI system for controlling nanorobots within a living organism.
• To demonstrate the feasibility of using brain activity to trigger nanorobot-mediated payload release.
• To explore the potential of this technology for therapeutic interventions in cognitive and psychiatric disorders.

Main Methods:

• Recording electroencephalogram (EEG) patterns from a human operator.
• Utilizing an online algorithm to interpret EEG signals and control an electromagnetic field.
• Employing electromagnetic fields to induce local heating and activate DNA origami nanorobots tethered to nanoparticles.
• Demonstrating cellular effect induction by activated nanorobots in the insect Blaberus discoidalis.

Main Results:

• Successful online control of nanorobot activation via human brain activity.
• Demonstration of reversible nanorobot activation and payload exposure.
• Proof-of-principle for inducing a cellular effect using cognitively controlled nanorobots.
• Establishment of a link between cognitive state and nanorobot-mediated biological effects.

Conclusions:

• A novel brain-machine interface for controlling nanorobots has been developed.
• This technology enables real-time, brain-controlled activation of nanorobots for payload delivery.
• Potential applications include precise, on-demand therapeutic interventions for neurological and psychiatric conditions.