Protecting thin, flexible brain interfaces from the human body

Summary: Thin, flexible, next-generation of brain implants include more than a thousand electrodes and can survive for more than six years.

Source: Duke

Researchers have demonstrated the ability to implant an ultrathin, flexible neural interface with thousands of electrodes into the brain with a projected lifetime of more than six years. Protected from the ravaging environment of internal biological processes by less than a micrometer of material, the achievement is an important step toward creating high-resolution neural interfaces that can persist within a human body for an entire lifetime.

The results, appearing online April 8 in the journal Science Translational Medicine, were published by a team of researchers led by Jonathan Viventi, assistant professor of biomedical engineering at Duke University; John Rogers, the Louis Simpson and Kimberly Querrey Professor of Materials Science and Engineering, Biomedical Engineering and Neurological Surgery at Northwestern University; and Bijan Pesaran, professor of neural science at New York University.

“Trying to get these sensors to work in the brain is like tossing your foldable, flexible smartphone in the ocean and expecting it to work for 70 years,” said Viventi. “Except we’re making devices that are much thinner and much more flexible than the phones currently on the market. That’s the challenge.”

The human body is an unforgiving place to live if you’re an uninvited guest — especially if you’re made of polymers or metal. Besides attacks from the surrounding tissues and immune system, foreign objects must be able to stand up to a corrosive, salty environment.

Engineering electrical devices that can withstand this assault is an even more daunting prospect. Current long-term implantable devices are almost universally hermetically sealed within a laser-welded titanium casing. Think of a pacemaker, for example.

“Building water-tight, bulk enclosures for such types of implants represents one level of engineering challenge,” Rogers said. “We’re reporting here the successful development of materials that provide similar levels of isolation, but with thin, flexible membranes that are one hundred times thinner than a sheet of paper.”

But when it comes to the human brain, space and flexibility is of the essence. There is no room for rigid devices with millimeter-thick walls. These challenges mean that existing neural interfaces can sample only about a hundred sites, which pales in comparison to the tens of billions of neurons that make up the human brain. Any attempt to make these devices larger invariably runs into the hurdle of wiring logistics–because each sensor requires its own wire, size constraints quickly become an issue.

Viventi and his colleagues have been working on a different approach.

“You need to move the electronics to the sensors themselves and develop local intelligence that can handle multiple incoming signals,” said Viventi. “This is how digital cameras work. You can have tens of millions of pixels without tens of millions of wires because many pixels share the same data channels.”

Through their work, the researchers have already demonstrated flexible neural devices just 25 micrometers thick with 360 electrodes. But previous attempts to keep them safe from harm inside the body have failed, as even the tiniest defect can thwart the entire effort.

“We tried a bunch of strategies before. Depositing polymers as thin as is required resulted in defects that caused them to fail, and thicker polymers didn’t have the flexibility that was required,” said Viventi. “But we finally found a strategy that outlasts them all and have now made it work in the brain.”

All it took was perfection.

In the new paper, Viventi, Rogers, Pesaran and their colleagues demonstrate that a thermally grown layer of silicon dioxide less than a micrometer thick can ward off the hostile environment within the brain, degrading at a rate of only 0.46 nanometers per day. And because this form of glass is biocompatible, any trace amount that dissolves into the body should not create any problems of its own.

This shows the implant
To demonstrate the extreme flexibility of their neural interfaces, researchers wrap it around a 2.5 mm tube. Despite it’s flexibility, the neural interface can withstand the harsh environment of a brain for more than six years. The image is credited to John Rogers, Northwestern University.

They also show that, even though the glass encapsulation is not conductive, the device’s electrodes can detect neural activity through capacitive sensing. This is the same sort of technology that can detect the movements of a finger on a smartphone’s touchscreen. They implanted a 64-electrode neural interface into a rat for over a year and a 1,008-electrode neural interface into the motor cortex of a monkey reaching to a touchscreen.

“Successfully deploying the device in monkeys doing human-like tasks is a huge leap forward,” said Perasan. “Now we can refine our technology to help people suffering brain disorders.”

Based on these results and experiments to heat the devices to simulate longer periods of time, the researchers believe their devices could withstand implantation for more than six years.

While these results are enormous steps forward in comparison to current state-of-the-art devices, they’re not anywhere near the level of the researchers’ aspirations. Viventi’s student is currently working to scale the prototype up from 1,000 electrodes to more than 65,000. And they expect that by using commercial foundries to make the electrodes, which are far superior to their own capabilities, that the performance of their neural interface will increase greatly both in terms of signal quality and surviving within the human body.

“One of our goals is to create a new type of visual prosthetic that interacts directly with the brain that can restore at least some sight capacity for people with damaged optic nerves,” said Viventi. “But we can also use these types of devices to control other types of prosthetics or in a wide range of neuroscience research projects.”

Funding: This research is supported by the National Institute of Neurological Disorders and Stroke (U01 NS099697), the National Science Foundation (CCF1422914, CCF-1564051), a Steven W Smith Fellowship, a L’Oreal USA for Women in Science Fellowship, and the Defense Advanced Research Programs Agency (DARPA-BAA-16-09, DARPA-BAA-13-20).

About this neuroscience research article

Source:
Duke
Media Contacts:
Ken Kingery – Duke
Image Source:
The image is credited to John Rogers, Northwestern University.

Original Research: Open access (PDF)
“Development of a Neural Interface for High Definition, Long-term Recording in Rodents and Non-Human Primates”. Chia-Han Chiang, Sang Min Won, Amy L. Orsborn, Ki Jun Yu, Michael Trumpis, Brinnae Bent, Charles Wang, Yeguang Xue, Seunghwan Min, Virginia Woods, Chunxiu Yu, Bong Hoon Kim, Sung Bong Kim, Rizwan Huq, Jinghua Li, Kyung Jin Seo, Flavia Vitale, Andrew Richardson, Hui Fang, Yonggang Huang, Kenneth Shepard, Bijan Pesaran, John A. Rogers, & Jonathan Viventi.
Science Translational Medicine doi:10.1126/scitranslmed.aay4682.

Abstract

Development of a Neural Interface for High Definition, Long-term Recording in Rodents and Non-Human Primates

Long-lasting, high-resolution neural interfaces that are ultrathin and flexible are essential for precise brain mapping and high-performance neuroprosthetic systems. Scaling to sample thousands of sites across large brain regions requires integrating powered electronics to multiplex many electrodes to a few external wires. However, existing multiplexed electrode arrays rely on encapsulation strategies that have limited implant lifetimes. Here, we developed a flexible, multiplexed electrode array, called “Neural Matrix,” that provides stable in vivo neural recordings in rodents and nonhuman primates. Neural Matrix lasts over a year and samples a centimeter-scale brain region using over a thousand channels. The long-lasting encapsulation (projected to last at least 6 years), scalable device design, and iterative in vivo optimization described here are essential components to overcoming current hurdles facing next-generation neural technologies.

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