China develops ultrasound brain-computer interface without surgery

When you hear the phrase “brain-computer interface,” you probably think of surgery, wires, and a chip in your head. Now imagine something quieter. No implants. There is no incision. Just sound waves directed to the brain.

This is the approach behind the new wave of ultrasound brain-computer interface companies in China. One of the newest is Gestala, founded in Chengdu, with offices in Shanghai and Hong Kong. The company says it has developed technology that can stimulate and eventually study brain activity using focused ultrasound.

Yes, the same basic technology is used in medical imaging. But this time it targets neural circuits.

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What is ultrasound brain computer interface?

Most brain-computer interface systems rely on electrodes that detect electrical signals from neurons. nerve connection is the most visible example of this. It inserts tiny threads into the brain to record activity. Ultrasound works differently.

It uses high-frequency sound waves rather than measuring electrical signals directly. Depending on intensity and focus, these waves can:

• Create interior texture images
• Destroy abnormal tissues such as tumors
• Modulate neural activity without open surgery

Focused ultrasound treatments are already approved for Parkinson’s disease, uterine fibroids, and some tumors. This clinical background gives companies like Gestala a foundation on which to build. But examining or interpreting brain signals with ultrasound is much more complex than delivering targeted stimulation.

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Unlike implant-based systems such as Neuralink, ultrasound brain-computer interface research focuses on stimulating the brain without surgery. (Neuralink)

How does Gestala plan to treat chronic pain with focused ultrasound?

Gestala’s first product focuses on chronic pain. The company plans to target the anterior cingulate cortex, a brain region linked to the emotional experience of pain. Early pilot studies suggest that stimulation of this area can reduce pain intensity in some patients for up to a week. The first generation device will be a fixed system used in clinics. Patients would go to the hospital for treatment sessions. Next, the company plans to develop a wearable helmet designed for supervised use at home. Over time, Gestala says it wants to expand to include depression, other mental health issues, stroke rehabilitation, Alzheimer’s disease and sleep disorders. This is an ambitious road map. Each condition involves different brain networks and clinical barriers.

Can ultrasound read brain activity without implants?

Like other brain technology startups, Gestala is exploring whether ultrasound could help interpret brain activity. The long-term concept is simple in theory. A device can detect patterns associated with chronic pain or depression and then send alerts to specific areas in response.

Unlike traditional brain implants, which capture electrical signals from limited areas, an ultrasound-based system could have the potential to reach larger regions of the brain. This possibility is one of the reasons why researchers are paying attention. Yet translating this concept into reliable data is a major engineering challenge.

Global race to create non-invasive brain interfaces

China is not alone in exploring ultrasonic brain-computer interface systems. Earlier this month, OpenAI announced a significant investment in Merge Labs, a startup co-founded by Sam Altman and researchers affiliated with Forest Neurotech.

Merge Labs’ public materials talk about restoring lost abilities, supporting healthier brain states, and deepening human connection with advanced artificial intelligence. This language signals long-term ambitions. But experts warn that real-world applications are still years away.

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Researchers are using MRI guidance to precisely target the anterior cingulate cortex with focused ultrasound during chronic pain studies. (Gestala)

Technical limits of ultrasound brain interfaces

Ultrasound faces technical limits. First, the skull weakens and distorts sound waves. This makes it difficult to get precise signals. In research settings, detailed readings of neural activity required special implants that allowed ultrasound to pass more clearly through bone.

Second, ultrasound measures changes in blood flow. Blood flow changes more slowly than electrical firing in neurons. This delay can limit applications that require fast and detailed signal decoding, such as real-time speech translation. In short, arousal is a challenge. Correct reading is a whole other level.

What does this mean to you?

Currently this technology is experimental. You won’t be buying a brain helmet from your local electronics store. However, direction is important. If noninvasive ultrasound devices can reduce chronic pain or support mental health treatment, more patients may consider treatment without brain surgery.

At the same time, devices that analyze brain states raise new privacy questions. Brain-related data is extremely personal. Regulators, hospitals and companies will need clear rules on how this data will be stored, shared and protected. Finally, the connection between AI companies and brain interface startups shows how closely intertwined digital intelligence and neuroscience are. This connection could reshape medicine, wellness, and even our interaction with technology.

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Kurt’s important takeaways

Brain-computer interfaces used to feel distant and experimental. They have now become a serious focus of global research and investment. China’s effort to develop an ultrasound-based brain-computer interface adds momentum to a field already shaped by companies like Neuralink and startups backed by OpenAI. Progress is steady but measured. Potential is important. Technical hurdles are real. What happens next will depend on whether researchers can translate promising laboratory results into safe and reliable treatments that people can actually use.

If sound waves could one day interpret your mental state, who should decide how to use this information? Let us know by writing to us. cyberguy.com

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