In a design that looks straight out of an old future-tech horror film, researchers in the U.K. have built a wearable, portable brain scanner that can record neural activity while the user is moving.
The device, described today in Nature, could enable scientists to study brain function in ways that aren’t possible with stationary brain scanners, like that of functional magnetic resonance imaging, or fMRI.
“It’s a big step forward,” says Peter Schwindt, a physicist at Sandia National Laboratories in Albuquerque, N.M., who was not involved in the project. The technology “opens up new applications” for this type of brain scanning, he says.
The device employs magnetoencephalography, or MEG, which measures magnetic fields present at the scalp. These fields are generated by the brain’s natural electrical currents, and, with mathematical analysis, can be used to create a 3D map of brain function with millisecond resolution.
Conventional MEG devices—cumbersome machines the size of a manatee—require the user to remain motionless while undergoing a scan, similar to the requirements of an fMRI. That severely limits the kinds of research that can be conducted. It also makes it difficult to study children.
In today’s report, researchers at the University of Nottingham and University College London, in the U.K., shrunk MEG to the size of gladiator helmet. The system would enable researchers to image people who find it hard to keep still, such as babies, children, and people with movement disorders.
The portable system would also allow scientists to conduct entirely new kinds of studies. “You can look at aspects of brain function involving spatial navigation, which is hard to do with a subject who is stationary,” says Richard Bowtell, a professor of physics at the University of Nottingham, who co-authored the report. “You can also look at more natural interactions between people when they are free to move.”
In the team’s design, the sensors are fixed relative to the person’s brain, rather than in a stationary machine. They achieved this by integrating miniaturized quantum sensors into a head cast, and pairing it with a system for canceling out background magnetic fields.
These helmets contain small sensors called magnetometers that detect magnetic fields to allow researchers to map a wearer’s brain activity.Photo: University of Nottingham
The system is custom made for each user. A head cast is 3D printed to fit snugly over the scalp and face. Miniaturized quantum sensors called optically pumped magnetometers (OPMs) lock in place above the target area of the brain, where they will sense the brain’s magnetic fields. (The sensors are commercially available through QuSpin in Louisville, Colorado).
To cancel out the Earth’s magnetic fields, which would interfere with the scan, the researchers constructed a set of bi-planar electromagnetic coils. These coils generate fields equal and opposite to the Earth’s field, thereby canceling it out. The coils are placed in a structure that sits near the user, creating a small, magnetically shielded space in which the user can move during the scan. The experiments take place in a magnetically shielded room which cancels additional fields.
Bowtell and his colleagues tested the system against a conventional MEG machine by recording subjects’ brain activity while they performed a finger lifting task. The wearable system performed on par with the conventional machine, according to today’s report.
The team then recorded the subjects’ brain activity while they performed different tasks that involve head movement, such as bouncing a ball on a paddle or drinking from a mug. “I was impressed by what they could do with measuring the brain response while playing this ball game,” says Schwindt at Sandia.
The big limitation of the prototype is that users can’t move their heads outside of the shielded space: an invisible box 20 to 40 cm per side, or about the size of an old Macintosh SE. “Subjects are constrained by this 40 cm volume, so obviously they’re not getting up and walking around,” says Schwindt. “There’s significant development that needs to happen to move towards allowing full natural movement.”
Bowtell says his team is working on that. In the next iteration, the group aims to integrate the background-canceling coils into the walls of the room, allowing the subject to walk around.
Several groups, including Schwindt’s, have been developing quantum sensors, and specifically OPMs, for use in MEG imaging. OPMs improve MEG imaging because they don’t have to be cryogenically cooled, like the superconducting technology in conventional MEG scanner. That allows the OPM sensors to be worn snugly on the head, improving the quality of the data recorded.
Despite the improvements in OPM sensors, subjects must remain still during scans. “Most of us have taken the approach thus far to keep our sensors stationary,” Schwindt says.
The U.K. team is likely the first to employ OPM technology in a way that allows subjects to move, he says.
The idea of making brain recording and imaging devices more portable is not new, of course. Researchers have successfully built wearable EEG, or electroencephalography, and even used such devices to record the brain’s electrical activity during a bungee jumping experiment. EEG measures the voltages at the scalp, which reflects the voltages in the brain. But it’s hard to use EEG to pinpoint the location of the activity in the brain—something that MEG can do.
Researchers have also developed wearable brain scanners using fNIRS, or functional near-infrared spectroscopy. One group used the technique to create a brain-computer interface system. In fNIRS, changes in blood oxygenation are measured using light as an indirect indicator of neural activity. But like EEG, it doesn’t easily pinpoint the location of the brain activity, says Bowtell.
Wearable MEG could provide that specificity in a portable scenario. “It will be interesting to see how far the technology can be pushed, in terms of how much movement” can be allowed during scanning, says Schwindt.
And if the head cast ends up not working for the research world, maybe someone in Hollywood could use a new prop.
Emily Waltz is a contributing editor at Spectrum covering the intersection of technology and the human body. Her favorite topics include electrical stimulation of the nervous system, wearable sensors, and tiny medical robots that dive deep into the human body. She has been writing for Spectrum since 2012, and for the Nature journals since 2005. Emily has a master's degree from Columbia University Graduate School of Journalism and an undergraduate degree from Vanderbilt University. She aims to say something true and useful in every story she writes. Contact her via @EmWaltz on Twitter or through her website.