The Brain-Machine Interface, Unplugged

Researchers report prototype wireless neural interfaces

3 min read

In experiments and even limited human clinical trials, electrode arrays implanted on the brain's surface have given monkeys and humans the ability to move objects with their thoughts. The experiments are proof that brain-computer interfaces could improve the lives of severely paralyzed people. But these systems rely on wires snaking out from the skull, which would affect a person's mobility and leave an opening in the scalp prone to infection.

Wireless brain-machine interfaces would be much more practical and could be implanted in several different areas of the brain to tap into more neurons. A typical scheme would have electrodes penetrating brain tissue, picking up neuronal electrical impulses, called spikes. A chip would amplify and process the signals and transmit them over a broadband RF connection through the skull to a receiver. Then, just as in wired systems, algorithms would decode these signals into commands for operating a computer or a robot.

The key requirement for such a system is that it consume very little power to keep the heat down. "Most of the guidelines for implantable devices say that you should not raise the surrounding tissue temperature by more than 1 C; otherwise, you'll kill the cells you're trying to record from," says Reid Harrison, an electrical and computer engineering professor at the University of Utah, in Salt Lake City.

Sending the complex analog impulses as they are would take up too much bandwidth. So it will be necessary to convert them into a simpler, robust form as close as possible to that of the neurons, says Brown University neuroengineer Arto Nurmikko. He and some of his colleagues were associated with the now-defunct Foxborough, Mass., start-up Cyberkinetics Neurotechnology Systems, which did the first human clinical trials of an implanted brain-computer interface. Now his team has a promising wireless interface scheme, which they presented last month at the IEEE Engineering in Medicine and Biology Conference (EMBC).

The researchers have implanted a 16-electrode microchip into the arm-control region of a monkey's brain. The chip amplifies neural signals and sends them via a flexible wire ribbon through the skull to another chip beneath the scalp. Here, the signals are digitized, and a diode laser transmits the data as infrared light pulses through the skin to a receiver. The system uses 12 milliwatts of power in its current configuration; expanding it to a 100-electrode scheme, which would allow for controlling a prosthetic, would require 30 mW, the safety limit for cranial use.

Working along similar lines, Utah's Harrison, together with engineers and neuroscientists at Stanford, has designed an 8-mW radio chip with 100 amplifiers that could be connected to a 100-electrode array. A radio transmitter sends data at 350 kilobits per second but only over a distance of 5 centimeters. Increasing the range to 4 meters shoots the power needs past 63 mW. To stay within the transmitter's low RF bandwidth, Harrison designed the amplifiers to send signals only when a neuronal spike exceeds a certain voltage threshold. He is now working on extracting other neuronal spike features, such as width or height, to be able to distinguish between different neurons.

The implant in each of these schemes is powered by an electromagnetic induction coil outside the skull. A cap or headband containing a coil no more than a few centimeters wide could send power to the device. An external power source for neural chips makes more sense than batteries, Harrison says, because the chips consume a hundred times as much current as pacemakers do. This means their batteries would need to be replaced much more often than a pacemaker battery, whose typical life span is seven years.

Wireless neural implants open up the possibility of embedding multiple chips in the brain, enabling them to read more and different types of neurons and allowing more complicated thoughts to be converted into action. Thus, for example, a person with a paralyzed arm might be able to play sports. "When we hit a tennis ball or kick a soccer ball, we plan things first...and then execute an action based on input," Nurmikko says. "The brain is furiously calculating what it's going to do with this thing that's coming at you."

Eventually, you would want to listen in on hundreds or even thousands of neurons. But then infrared or RF transmission bandwidth would be a constraint, observes Babak Ziaie, an electrical and computer engineering professor at Purdue University, in West Lafayette, Indiana. At the EMBC meeting, Ziaie presented an optical approach: An LED array, possibly attached to the skull, could convert the electrodes' signals into light pulses that are captured by a high-speed camera chip and reconverted into electrical signals. He plans to test the scheme on animals this fall.

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This CAD Program Can Design New Organisms

Genetic engineers have a powerful new tool to write and edit DNA code

11 min read
A photo showing machinery in a lab

Foundries such as the Edinburgh Genome Foundry assemble fragments of synthetic DNA and send them to labs for testing in cells.

Edinburgh Genome Foundry, University of Edinburgh

In the next decade, medical science may finally advance cures for some of the most complex diseases that plague humanity. Many diseases are caused by mutations in the human genome, which can either be inherited from our parents (such as in cystic fibrosis), or acquired during life, such as most types of cancer. For some of these conditions, medical researchers have identified the exact mutations that lead to disease; but in many more, they're still seeking answers. And without understanding the cause of a problem, it's pretty tough to find a cure.

We believe that a key enabling technology in this quest is a computer-aided design (CAD) program for genome editing, which our organization is launching this week at the Genome Project-write (GP-write) conference.

With this CAD program, medical researchers will be able to quickly design hundreds of different genomes with any combination of mutations and send the genetic code to a company that manufactures strings of DNA. Those fragments of synthesized DNA can then be sent to a foundry for assembly, and finally to a lab where the designed genomes can be tested in cells. Based on how the cells grow, researchers can use the CAD program to iterate with a new batch of redesigned genomes, sharing data for collaborative efforts. Enabling fast redesign of thousands of variants can only be achieved through automation; at that scale, researchers just might identify the combinations of mutations that are causing genetic diseases. This is the first critical R&D step toward finding cures.

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