First bilateral implant plus brain-machine interface technology allow the controls of two prosthetic arms

0
71

Researchers from the Johns Hopkins University’s Applied Physics Laboratory (APL) and School of Medicine (SOM) have, for the first time, demonstrated simultaneous control of two of the world’s most advanced prosthetic limbs through a brain-machine interface.

The team is also developing strategies for providing sensory feedback for both hands at the same time using neural stimulation.

“We are trying to enable a person with quadriplegia to use a direct neural interface to simultaneously control two assistive devices and, at the same time, feel touch sensation when the devices make contact with objects in the environment,” explained Dr. Brock Wester, a biomedical engineer and APL’s principal investigator for the study.

“It has significant implications for restoring capabilities to patients with high spinal cord injuries and neuromuscular diseases” he continued.

“For everything we envision people needing or wanting to do to become independent – tie their shoes, catch and throw a ball, squeeze toothpaste onto a toothbrush – they really need two hands working together.”

These breakthroughs are the latest developments in Revolutionizing Prosthetics (RP), a program launched by the Defense Advanced Research Projects Agency in 2006 to rapidly improve upper extremity prosthetic technologies and provide new means for users to operate them.

The original vision of the RP program was to create a neurally integrated prosthetic upper limb with human-like capabilities; this resulted in the Modular Prosthetic Limb (MPL).

“As we integrated new capabilities into the MPL, such as fingertip sensors for force, acceleration, slip, and pressure, we started to ask ourselves, ‘what is the best way to feed this information back to our study participants so that they would be able to interact with the environment just as able-bodied people do?’” said Dr. Francesco Tenore, APL’s project manager for this effort.

In addition to developing the MPL, program researchers have been exploring the use of neural signals to enable “real time” control of prosthetic and intelligent systems.

The program’s initial neural control studies with participants at the University of Pittsburgh and the California Institute of Technology/Rancho Los Amigos focused on the control of a single limb, which three participants were able to do after months of training.

This success highlighted the possibilities of neuroprosthetics and laid the groundwork for future studies.

APL is working with two research groups at the Johns Hopkins Hospital: Dr. Pablo Celnik’s team in Physical Medicine and Rehabilitation and Dr. Nathan Crone’s team in the Department of Neurology.

In January, in a first-of-its-kind surgery, Dr. Stan Anderson’s team at Johns Hopkins implanted intracortical microelectrode array sensors on both sides of a patient’s brain, in the regions that control movement and touch sensation.

As part of the surgery, APL researchers and Crone’s team pioneered a method to identify the best locations for placing the electrodes using real-time mapping of brain activity during the surgery.

This shows the patient and the bci

Matt Fifer adjusts the electrodes attached to Buz Chmielewski’s head to prepare for a round of testing. The image is adapted from the Johns Hopkins University news release.

The research team has completed several assessments of the neural signals acquired from the motor and sensory areas of the brain, and they’ve studied what the patient’s feels when the hand areas of his brain are stimulated.

The results from these experiments highlight the potential for patients to sense more information about the prosthetic limb or the environment with which they are interacting.

With these tests and the successful surgery, the team has already tallied several “firsts” in the field of brain-machine interfaces.

Credit: JHU.

“For the first time, our team has been able to show a person’s ability to ‘feel’ brain stimulation delivered to both sides of the brain at the same time.

We showed how stimulation of left and right finger areas in the brain could be successfully controlled by physical touch to the MPL fingers,” explained APL’s Dr. Matthew Fifer, the technical lead on the project.

This study benefits from the world’s first human bilateral implant for recoding and stimulation, including 96 electrodes that can be used to deliver very focused neural stimulation to the finger areas of the brain.

“Ultimately, because this is the world’s first bilateral implant, we want to be able to execute motions that require both arms and allow the user to perceive interactions with the environment as though they were coming from his own hands,” Tenore said.

“Our team will continue training with our participant to develop motor and sensory capabilities, as well as to explore the potential for control of other devices that could be used to expand a user’s personal or professional capabilities.”

“These developments are critical components necessary for future brain-machine interface technologies — relevant to spinal cord injury, stroke, Lou Gehrig’s disease, among others — all aiming to restore human functions,” said Dr. Adam Cohen, Health Technologies program manager in APL’s National Health Mission Area.


Options for people with severe paralysis who have lost the ability to communicate orally are limited. We describe a method for communication in a patient with latestage amyotrophic lateral sclerosis (ALS), involving a fully implanted brain–computer interface that consists of subdural electrodes placed over the motor cortex and a transmitter placed subcutaneously in the left side of the thorax.

By attempting to move the hand on the side opposite the implanted electrodes, the patient accurately and independently controlled a computer typing program 28 weeks after electrode placement, at the equivalent of two letters per minute.

The brain–computer interface offered autonomous communication that supplemented and at times supplanted the patient’s eye-tracking device.

(Funded by the Government of the Netherlands and the European Union; ClinicalTrials.gov number, NCT02224469.)

Electrode Placement and System Setup in the Brain-Computer Interface System. Panel A shows the contact points of the electrode strips, which are indicated by white dots, over the sensorimotor and dorsolateral prefrontal cortex; the positions of electrodes were based on postoperative computed tomographic (CT) scans merged with the presurgical MRI. Electrodes e2 and e3 on the electrode strip were chosen for brain-computer interface feedback. Panel B shows a postoperative chest radiograph displaying the transmitter device (Activa PC+S, Medtronic), which was placed subcutaneously in the chest, and wires leading to the electrodes. Two of four wires were connected to the device. Panel C shows the postoperative CT scan with the locations of four electrode strips. The dots on the four wires are connectors. Panel D shows the components of the brain-computer interface system, including the transmitter, receiving antenna, receiver, and tablet.
Electrode Placement and System Setup in the Brain-Computer Interface System. Panel A shows the contact points of the electrode strips, which are indicated by white dots, over the sensorimotor and dorsolateral prefrontal cortex; the positions of electrodes were based on postoperative computed tomographic (CT) scans merged with the presurgical MRI. Electrodes e2 and e3 on the electrode strip were chosen for brain-computer interface feedback. Panel B shows a postoperative chest radiograph displaying the transmitter device (Activa PC+S, Medtronic), which was placed subcutaneously in the chest, and wires leading to the electrodes. Two of four wires were connected to the device. Panel C shows the postoperative CT scan with the locations of four electrode strips. The dots on the four wires are connectors. Panel D shows the components of the brain-computer interface system, including the transmitter, receiving antenna, receiver, and tablet.


Source:
Johns Hopkins University
Media Contacts:
Paulette Campbell – Johns Hopkins University
Image Source:
The image is adapted from the Johns Hopkins University news release.


LEAVE A REPLY

Please enter your comment!
Please enter your name here

Questo sito usa Akismet per ridurre lo spam. Scopri come i tuoi dati vengono elaborati.