Symposium speakers included (from left) the University of Pittsburgh’s Andrew Schwarz, Ph.D., Patrick Tresco, Ph.D., chair of biomedical engineering at the University of Utah, Tom Anastasio, Ph.D., from the University of Illinois-Champlain, and Col. Geoffrey Ling M.D., Ph.D., chair of neurology at the Uniformed Services University of the Health Sciences.
Trauma, disease or birth can leave patients unable to interact with the world around them. Researchers in the field of restorative medicine are exploring the potential of electro-mechanical devices that could serve amputees and paralytics, allowing them to use their own brain signals to drive computer-controlled prosthetics.
On March 18, leaders in the field of Brain-Machine Interface gathered on the MCV Campus to discuss recent advances in neuroprosthetics and how compatible their materials are with the human body as well as our understanding of how a patient’s brain controls these increasingly sophisticated machines.
The symposium was led off by Peter Pidcoe, PT, Ph.D., an associate professor in VCU’s Department of Physical Therapy, who provided a comprehensive overview of the history and variety of prosthetic devices as well as their design and effectiveness.
The symposium was led off by Peter Pidcoe, PT, Ph.D., an associate professor in VCU’s Department of Physical Therapy, who provided a comprehensive overview of the history and variety of prosthetic devices as well as their design and effectiveness.
Other speakers took the audience step-by-step through the process:
- To understand the brain signals that control movement in normal limbs or robotic prostheses, the University of Pittsburgh’s Andrew Schwarz, Ph.D., demonstrated that signals from populations of cortical neurons in a monkey can effectively drive a robotic arm. Schwartz is a pioneer in brain-machine interfaces since the late 1980s; he also was organizer and key speaker at the Annual Aspen Brain forum in 2010 on Building a Better Brain.
- For neural signals to drive prostheses, those signals must be converted into computer language. Neuro-computationalist Tom Anastasio, Ph.D., from the University of Illinois-Champlain, explained the mathematical bases of neural signaling. Anastasio wrote one of the first textbooks on the principles of neuro-computing.
- To send a neural message from a living brain to a computer, an artificial interface must be implanted into neural tissue. Patrick Tresco, Ph.D., chair of biomedical engineering at the University of Utah and a renowned expert on biocompatible materials, showed that long-term electrode implantation can be optimized by engineering electrodes with novel geometries and coatings.
- The U.S. Army Med Corps’ Col. Geoffrey Ling M.D., Ph.D., chair of neurology at the Uniformed Services University of the Health Sciences, presented a compelling justification for this collaboration between biomedical research and engineering and also showed numerous film clips of patients successfully manipulating their new prosthetic limbs. In addition to serving as program manager at DARPA, Ling is a standing council member of the NINDS and heads various VA organizations for treatment of soldiers with head trauma.
The 23rd Annual Neuroscience Symposium was attended by 80 VCU faculty and students, faculty from Virginia Union University and a contingent of biomedical engineering students from the University of Virginia. It was hosted by the Society for Neuroscience’s Central Virginia Chapter, the president of which is Alex Meredith, Ph.D., professor of anatomy and neurobiology.
For more information about the conference, contact Alex Meredith at mameredi@vcu.edu or Ruth Clemo at rclemo@vcu.edu.