Summary: Researchers combine movement sensing electrodes on top of the brain with deep brain stimulating electrodes to help treat essential tremor, the world’s most prevalent movement disorder.
Source: University of Washington.
Essential tremor is the world’s most common movement disorder, affecting an estimated 7 million people in the U.S. alone. The hallmark of this disease is an involuntary, rhythmic shaking during intentional movement, complicating everyday tasks like writing, eating and drinking. When resting or sleeping, however, most patients have few or no symptoms.
The disease can be treated with a surgical procedure called Deep Brain Stimulation, or DBS, where a neurosurgeon implants an electrode deep in the brain; this wire is then tunneled under the skin to a battery in the chest, which provides electrical stimulation that quiets the symptoms. In current use, however, these implanted devices are constantly “on” — delivering stimulation even when a patient doesn’t need it — which wastes valuable battery life.
For the first time, University of Washington researchers have combined electrodes on top of the brain to sense movement in the parts of the body that experience essential tremor, along with a deep brain electrode, to deliver stimulation only when it’s needed. The approach, developed by electrical engineers, UW Medicine researchers and ethicists at the Center for Sensorimotor Neural Engineering (CSNE) at UW, is described in a paper to be published in a forthcoming issue of IEEE Transactions on Neural Systems and Rehabilitation Engineering.
It’s an important step toward developing fully-implanted, closed-loop deep brain stimulators to treat disorders like essential tremor and Parkinson’s disease — devices that one day might be controlled by the patient’s own thoughts or movements.
“We’d ultimately like to give individuals that ability and choice,” said co-author Margaret Thompson, a UW electrical engineering doctoral candidate and member of the CSNE team. “One side effect of deep brain stimulation can be difficulty speaking, for instance. So if you’re about to drink a glass of water, you might want to turn up the stimulation so your hand doesn’t shake. If you’re answering the phone, perhaps you’d want to turn it down so your speech isn’t affected.”
Delivering deep brain stimulation also can extend the battery life of these implanted devices, which currently last only three to five years. Lengthening battery life is important because replacing the battery requires surgery, which carries risks to the patient such as infection.
“We’re saving about half of the battery power, based on our subjects so far, which was one of our main motivations,” said senior author and UW electrical engineering professor Howard Chizeck. “But even more interesting are some early indications that suggest our closed-loop system results in better patient performance, with less tremor, better control of their hands and fewer side effects.”
The project originated in a partnership between the CSNE and medical device manufacturer Medtronic to test new ways of activating Medtronic’s Activa PC+S Deep Brain Stimulation system with essential tremor patients. This system not only delivers electrical stimulation like traditional DBS systems, but also has the capability to sense and respond to electrical signals generated by the brain itself. The UW team received an investigational device exemption from the U.S. Food and Drug Administration for these tests.
To treat essential tremor, a surgeon typically implants an electrode in the thalamus of a patient’s brain. It’s wired down the neck to another implanted device housed under the clavicle that contains a battery and the electronics that drive the system. This “open-loop” system, in clinical use today, delivers constant deep brain stimulation at levels set by a doctor.
In three patients who received the Medtronic Activa PC+S Deep Brain Stimulation system, UW Medicine surgeons also implanted a small strip of electrodes on top of the brain’s motor cortex, the part of the brain that controls movement. The electrode strip can be used to sense when a hand or other extremity affected by essential tremor is moving. In a key innovation, the team developed machine learning algorithms to “decode” neural signals coming from the brain and correlate them with essential tremor symptoms that warrant treatment by stimulation.
The neural biomarkers and algorithms used to decode them differ by disease. While a similar treatment approach has been documented for Parkinson’s disease, this is the first time neural signals have been used to selectively treat essential tremor.
“This is exciting both for treating those patients with essential tremor, but also for future uses,” says Dr. Jeffrey Ojemann, a CSNE team leader and neurosurgeon with the UW Medicine Neurosciences Institute. “This represents the first time a person can control their implanted device through the voluntary use of brain signals. We now can see a direct path to all sorts of uses in stroke, paralysis or other neurologic conditions that may be treated in the future using this general approach.”
Most essential tremor patients have symptoms only during intentional movement — when they move their arm to eat, drink or write, for instance. The UW CSNE closed-loop system detects that movement and only delivers stimulation to quiet the tremor symptoms when needed.
“DBS results in some of my most grateful patients,” said team member and co-author Dr. Andrew Ko, a neurosurgeon at the UW Medicine Neurosciences Institute who implanted the devices. “They used to call this disease ‘benign essential tremor,’ but it isn’t that benign. Patients don’t go out to eat because they spill food and drink. They stop having friends over because they can’t pour a cup of coffee. They can’t sign checks. They need help getting dressed. Regular DBS works really well to give people their lives back. What we are working on is taking a really good treatment and making it even better.”
To test how well the systems worked, the research team asked the patients to perform simple motor tasks — such as drawing a spiral shape with a pen, writing sentences or trying to hold their hands steady — under three conditions: With their Medtronic implanted deep brain stimulator turned off, with the system that delivered constant stimulation and with the new system that only delivered stimulation as needed.
With no stimulation, the patients experienced tremor throughout the tasks. The effectiveness of the CSNE team’s new system in quieting the tremor symptoms was comparable to the open-loop system — but with greater energy savings.
In the experiments described in the paper, the computational tasks were performed on an external laptop next to the patient. Next steps include transferring that computational power to the device implanted in the patient’s chest wall — thus creating a fully-implanted, closed-loop deep brain stimulator. The team has received FDA approval to move onto the next step in real-world testing, which is sending patients home with their stimulators in closed-loop mode.
Funding: The research was funded by Medtronic, the National Science Foundation and the U.S. Department of Defense.
Co-authors include Jeffrey Herron, a Medtronic biomedical engineer who joined the company after performing the research as a UW doctoral student and CSNE team member, and philosophy doctoral student Tim Brown, who works as a neuroethicist at the CSNE in the UW BioRobotics Lab.
Source: Jennifer Langston – University of Washington
Image Source: NeuroscienceNews.com image is credited to University of Washington.
Video Source: Video is credited to UW.
Original Research: Abstract for “Cortical brain computer interface for closed-loop deep brain stimulation” by Jeffrey Herron; Margaret Thompson; Tim Brown; Howard Chizeck; Jeffrey Ojemann; and Andrew Ko in IEEE Transactions on Neural Systems and Rehabilitation Engineering. Published online May 18 2017 doi:10.1109/TNSRE.2017.2705661
[cbtabs][cbtab title=”MLA”]University of Washington “Brain Signals Deliver Targeted Treatment for World’s Most Common Movement Disorder.” NeuroscienceNews. NeuroscienceNews, 27 June 2017.
<https://neurosciencenews.com/essential-tremor-dbs-6992/>.[/cbtab][cbtab title=”APA”]University of Washington (2017, June 27). Brain Signals Deliver Targeted Treatment for World’s Most Common Movement Disorder. NeuroscienceNew. Retrieved June 27, 2017 from https://neurosciencenews.com/essential-tremor-dbs-6992/[/cbtab][cbtab title=”Chicago”]University of Washington “Brain Signals Deliver Targeted Treatment for World’s Most Common Movement Disorder.” https://neurosciencenews.com/essential-tremor-dbs-6992/ (accessed June 27, 2017).[/cbtab][/cbtabs]
Abstract
Cortical brain computer interface for closed-loop deep brain stimulation
Essential Tremor is the most common neurological movement disorder. This progressive disease causes uncontrollable rhythmic motions—most often affecting the patient’s dominant upper extremity—that occur during volitional movement and make it difficult for the patient to perform everyday tasks. Medication may also become ineffective as the disorder progresses. For many patients, deep brain stimulation (DBS) of the thalamus is an effective means of treating this condition when medication fails. In current use, however, clinicians set the patient’s stimulator to apply stimulation at all times—whether it is needed or not. This practice leads to excess power use, and more rapid depletion of batteries that require surgical replacement. In the work described here, for the first time, neural sensing of movement (using chronically-implanted cortical electrodes) is used to enable or disable stimulation for tremor. Therapeutic stimulation is delivered only when the patient is actively using their effected limb, thereby reducing the total stimulation applied, and potentially extending the lifetime of surgically-implanted batteries. This work, which involves both implanted and external subsystems, paves the way for the future fully-implanted closed-loop deep brain stimulators.
“Cortical brain computer interface for closed-loop deep brain stimulation” by Jeffrey Herron; Margaret Thompson; Tim Brown; Howard Chizeck; Jeffrey Ojemann; and Andrew Ko in IEEE Transactions on Neural Systems and Rehabilitation Engineering. Published online May 18 2017 doi:10.1109/TNSRE.2017.2705661
