Avatar Becomes Reality: Breakthroughs in Brain-Computer Interface Usher in New Medical Possibilities

Recent Breakthroughs in Brain-Computer InterfacesThe most direct representation of the brain-computer interface (BCI) field remains depicted in the 2009 film Avatar, where the protagonist controls his avatar through thought, thereby attaining freedom in another world. This serves as an exemplary demonstration of mind-controlled reality within the BCI domain. Recently, Elon Musk announced that his BCI company, Neuralink, has achieved a significant breakthrough.

Thought-Controlled Typing: According to current research progress, the institution has stated that it has performed at least 19 robotic surgeries on animals and successfully implanted electrodes into their brains, thereby enabling brain-controlled machine operation, with a current success rate of approximately 87%.

In addition to the aforementioned institutions, Facebook has also announced its latest research findings in brain-computer interface (BCI) projects. Through a novel design approach, researchers have developed an independent brain–computer system using AR glasses, eliminating the need to implant chips into the human cerebral cortex, while still enabling rapid decoding of words and sentences being formulated in the human brain.

During the experiment, researchers placed electrodes on the brain surfaces of several volunteers undergoing epilepsy treatment. These electrodes employed a technique known as electrocorticography (ECoG) to directly record signals from the exposed surface of the cerebral cortex. While the volunteers answered questions, the researchers found that they could track activity in brain regions responsible for language and speech through these signals, and decode this information into sentences based on the kinematics of the human vocal organs.

Human Trials Expected as Early as Next YearCurrently, this technology remains in the development phase and has not yet undergone human trials; however, human trials are anticipated to commence as early as next year. While the prospects and future trajectory of this technology are clear, the research involved is arduous and challenging. This is because the technology requires not only the precise acquisition of neural activity signals but also the identification of which specific groups of neurons are executing particular tasks. More importantly, hardware limitations can sometimes lead to the formation of interfering scar tissue when brain-computer interfaces contact multiple regions of the brain. Although these issues have been resolved with advancements in science and technology, the extreme complexity of neuronal networks in the brain remains a significant obstacle that is difficult for researchers to overcome.

Nevertheless, this technology represents a major breakthrough in the medical field, as it enables patients who are unable to communicate normally due to injury or neurodegenerative diseases—such as Alzheimer’s disease and chronic traumatic encephalopathy—to express their thoughts more autonomously and engage in normal communication with their families and physicians.

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