Developing invisible implantable medical sensor arrays, a team of University of Wisconsin-Madison engineers has overcome a major technological hurdle in researchers’ efforts to understand the brain.
The team described its technology, which has applications in fields ranging from neuroscience to cardiac care and even contact lenses, in the Oct. 20 issue of the online journal Nature Communications.
Neural researchers study, monitor or stimulate the brain using imaging techniques in conjunction with implantable sensors that allow them to continuously capture and associate fleeting brain signals with the brain activity they can see. However, it’s difficult to see brain activity when there are sensors blocking the view.
“One of the holy grails of neural implant technology is that we’d really like to have an implant device that doesn’t interfere with any of the traditional imaging diagnostics,” says Justin Williams, a professor of biomedical engineering and neurological surgery at UW-Madison. “A traditional implant looks like a square of dots, and you can’t see anything under it. We wanted to make a transparent electronic device.”
The researchers chose graphene, a material gaining wider use in everything from solar cells to electronics, because of its versatility and biocompatibility. And in fact, they can make their sensors incredibly flexible and transparent because the electronic circuit elements are only 4 atoms thick—an astounding thinness made possible by graphene’s excellent conductive properties. “It’s got to be very thin and robust to survive in the body,” says Zhenqiang (Jack) Ma, a professor of electrical and computer engineering at UW-Madison. “It is soft and flexible, and a good tradeoff between transparency, strength, and conductivity.”
Drawing on his expertise in developing revolutionary flexible electronics, he, Williams, and their students designed and fabricated the microelectrode arrays, which — unlike existing devices — work in tandem with a range of imaging technologies. “Other implantable microdevices might be transparent at one wavelength, but not at others, or they lose their properties,” says Ma. “Our devices are transparent across a large spectrum — all the way from ultraviolet to deep infrared.”
“One of the holy grails of neural implant technology is that we’d really like to have an implant device that doesn’t interfere with any of the traditional imaging diagnostics.”
The transparent sensors could be a boon to neuromodulation therapies, which physicians increasingly are using to control symptoms, restore function, and relieve pain in patients with diseases or disorders such as hypertension, epilepsy, Parkinson’s disease, or others, says Kip Ludwig, a program director for the National Institutes of Health neural engineering research efforts. “Despite remarkable improvements seen in neuromodulation clinical trials for such diseases, our understanding of how these therapies work — and therefore our ability to improve existing or identify new therapies — is rudimentary.”
Currently, he says, researchers are limited in their ability to directly observe how the body generates electrical signals, as well as how it reacts to externally generated electrical signals. “Clear electrodes in combination with recent technological advances in optogenetics and optical voltage probes will enable researchers to isolate those biological mechanisms. This fundamental knowledge could be catalytic in dramatically improving existing neuromodulation therapies and identifying new therapies.”
The advance aligns with bold goals set forth in President Barack Obama’s BRAIN (Brain Research through Advancing Innovative Neurotechnologies) Initiative. Obama announced the initiative in April 2013 as an effort to spur innovations that can revolutionize understanding of the brain and unlock ways to prevent, treat or cure such disorders as Alzheimer’s and Parkinson’s disease, post-traumatic stress disorder, epilepsy, traumatic brain injury, and others.
“This fundamental knowledge could be catalytic in dramatically improving existing neuromodulation therapies and identifying new therapies.”
The UW-Madison researchers developed the technology with funding from the Reliable Neural-Interface Technology program at the Defense Advanced Research Projects Agency.
While the researchers centered their efforts on neural research, they already have started to explore other medical device applications. For example, working with researchers at the University of Illinois-Chicago, they prototyped a contact lens instrumented with dozens of invisible sensors to detect injury to the retina; the UIC team is exploring applications such as early diagnosis of glaucoma.
Additional authors on the Nature Communications paper include UW-Madison electrical and computer engineering graduate students Dong-Wook Park and Solomon Mikael, materials science graduate student Amelia A. Schendel, biomedical engineering research specialist Sarah K. Brodnick; biomedical engineering graduate students Thomas J. Richner, Jared P. Ness and Mohammed R. Hayat; collaborators Farid Atry, Seth T. Frye and Ramin Pashaie of the University of Wisconsin-Milwaukee; and Sanitta Thongpang of Mahidol University in Bangkok, Thailand.
The researchers are patenting their technology through the Wisconsin Alumni Research Foundation. Additional funding for the research came from the U.S. Defense Advanced Research Projects Agency, the National Institutes of Health and the U.S. Office of Naval Research.
Release Date: October 20, 2014
Source: University of Wisconsin-Madison
