People with tetraplegia gain use of brain-computer interface

26th January 2018
Posted By : Enaie Azambuja
People with tetraplegia gain use of brain-computer interface

For a brain-computer interface (BCI) to be truly useful for a person with tetraplegia, it should be ready whenever it’s needed, with minimal expert intervention, including the very first time it’s used. In a new study in the Journal of Neural Engineering, researchers in the BrainGate* collaboration demonstrate new techniques that allowed three participants to achieve peak BCI performance within three minutes of engaging in an easy, one-step process.

One participant, “T5,” a 63-year-old man who had never used a BCI before, needed only 37 seconds of calibration time before he could control a computer cursor to reach targets on a screen, just by imagining using his hand to move a joystick.

Dr. David Brandman, lead author of the study and an engineering postdoctoral researcher at Brown University, said that while additional innovations will help to move implantable BCIs like BrainGate toward clinical availability for patients, this advance of rapid, intuitive calibration is a key one.

It could allow future users and their caregivers to use the system much more quickly and to keep it calibrated over the long term.

“Up until now, getting going with a BCI has required oversight from a trained technician,” said Brandman, whose research engaged a team of scientists, engineers and physicians from across the BrainGate collaboration, which includes Brown, the Providence Veterans Affairs Medical Center (PVAMC), Massachusetts General Hospital (MGH), Case Western Reserve University and Stanford University.

“Our results suggest that once we begin to record from our users’ motor cortex, we can push the ‘calibrate’ button and allow the user to rapidly develop intuitive and high-quality cursor control,” Brandman added.

“Our new approach removes the need for technician oversight during calibration. This brings us one step closer to getting this system to people who we hope will benefit from it.”

Senior author Dr. Leigh Hochberg — director of the BrainGate consortium and clinical trial, professor of engineering at Brown, critical care neurologist at MGH and director of the V.A. Rehabilitation Research and Development Center for Neurorestoration and Neurotechnology at the PVAMC — agreed that the new paper is a key advance.

“In the past few years, our team has demonstrated that people with tetraplegia can use the investigational BrainGate BCI to gain multidimensional control of a robotic arm, to point-and-click on a computer screen to type 39-plus correct characters per minute, and even to move their own arm and hand again — all simply by thinking about that movement,” Hochberg said.

“But each of these achievements required time — not to train the user, but to train the computer how to interpret the neural activity that reflects our users’ intuitively generated intended hand movements. Traditionally, this had required a many-minutes-long, exceedingly boring creation of a neural decoder.

Here, the user is immediately engaged in building that decoder and can see cursor control evolve sometimes even in the first 30 seconds and continue to improve in just three minutes. Watching our participants do this has been really exciting.”

The paper shows that without any compromise of cursor control performance, the new calibration process does away with several steps and about eight minutes of time compared to the traditional calibration method.

In that older approach, trial participants worked iteratively and explicitly through target acquisition attempts while a trained clinical research technician monitored and updated the software.

The new decoder software, Brandman said, employs statistical learning algorithms. These allow the BCI system to more quickly learn what the neural signals recorded by implants in the motor cortex of the brain are communicating about the users’ intention to move their arms and hands. This more rapid learning allowed the team to streamline calibration.

Essentially, all participants had to do was imagine moving a cursor from the center of a circle of eight targets to whichever target lit up a different color. Lingering over the target for a moment was enough to indicate selection.

For about the first minute, study data show, cursor control was erratic as indicated by the wobbly paths from center to target. But by the second minute, the paths the participants traced had become much straighter.

Using one version of the decoder, for example, calibration performance saturated for T5 within about 43 seconds, for “T10,” a 34-year-old man, at around 100 seconds and for “T8,” a 55-year-old man, within 136 seconds. All three participants had sustained spinal cord injuries resulting in tetraplegia.

Each participant in the research also performed another task in which they selected randomly appearing targets in an on-screen grid. These tests were designed to measure a “bit rate” of information akin to typing on a keyboard and to compare performance after using the traditional calibration method vs. using the new method.

The results showed that participants achieved the same bit rate after the new one-step, three-minute method than they could achieve using the old multi-step, technician-supervised, 11-minute method.

Discover more here.

Image credit: Brown University.


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