Caltech researchers have created a minimally invasive brain-machine interface using functional ultrasound technology to map deep brain activity with high resolution. This advancement could make BMIs accessible to more individuals, offering a solution to those with severe paralysis without the need for invasive surgery.
Brain-machine interfaces (BMIs) allow for the reading and interpretation of brain activity, facilitating communication between the brain and external devices. Existing BMI technology often requires invasive surgery, limiting its use to individuals with severe conditions.
Researchers at Caltech have developed a new minimally invasive BMI using functional ultrasound (fUS) technology. This technique offers the ability to accurately map brain activity in regions of the brain with a resolution of 100 micrometers.
Minimally invasive methods like fUS prevent damage to brain tissue while conveying detailed neural signals. The first results indicate that it can effectively predict movements, which could transform the treatment options for individuals with paralyzed or impaired limbs.
The fUS technique represents a promising advance in BMI research, potentially allowing for broader access to these technologies for patients who require less invasive solutions. Researchers emphasize the significant potential of this technology, as it is still in its developmental stages and capable of improving rapidly.
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Caltech researchers have created a minimally invasive brain-machine interface using functional ultrasound technology to map deep brain activity with high resolution. This advancement could make BMIs accessible to more individuals, offering a solution to those with severe paralysis without the need for invasive surgery.