Emerging Technologies

Could a device tell your brain to make healthy choices?

Plaster phrenological models of heads, showing different parts of the brain, are seen at an exhibition at the Wellcome Collection in London March 27, 2012. We've pickled it, dessicated it, drilled it, mummified it, chopped it and sliced it over centuries, yet as the most complex entity in the known universe, the human brain remains a mysterious fascination. With samples of Albert Einstein's preserved brain on slides, and specimens from other famous and infamous heads such as the English mathematician Charles Babbage and notorious mass murderer William Burke, an exhibition opening in London this week is seeking to tap into that intrigue. The exhibition Brains: The Mind As Matter runs from March 29 to June 17. REUTERS/Chris Helgren (BRITAIN - Tags: SCIENCE TECHNOLOGY SOCIETY HEALTH) -

Plaster phrenological models of heads. Image: REUTERS/Chris Helgren

Yasmin Anwar
Media Relations Representative, UC Berkeley

New research suggests it’s possible to detect when our brain is making a decision and nudge it to make the healthier choice.

In recording moment-to-moment deliberations by macaque monkeys over which option is likely to yield the most fruit juice, scientists have captured the dynamics of decision-making down to millisecond changes in neurons in the brain’s orbitofrontal cortex.

“If we can measure a decision in real time, we can potentially also manipulate it,” says senior author Jonathan Wallis, a neuroscientist and professor of psychology at the University of California, Berkeley. “For example, a device could be created that detects when an addict is about to choose a drug and instead bias their brain activity towards a healthier choice.”

Located behind the eyes, the orbitofrontal cortex plays a key role in decision-making and, when damaged, can lead to poor choices and impulsivity.

While previous studies have linked activity in the orbitofrontal cortex to making final decisions, this is the first to track the neural changes that occur during deliberations between different options.

“We can now see a decision unfold in real time and make predictions about choices,” Wallis says.

Measuring the signals from electrodes implanted in the monkeys’ brains, researchers tracked the primates’ neural activity as they weighed the pros and cons of images that delivered different amounts of juice.

A computational algorithm tracked the monkeys’ orbitofrontal activity as they looked from one image to another, determining which picture would yield the greater reward. The shifting brain patterns enabled researchers to predict which image the monkey would settle on.

For the experiment, they presented a monkey with a series of four different images of abstract shapes, each of which delivered to the monkey a different amount of juice. They used a pattern-recognition algorithm known as linear discriminant analysis to identify, from the pattern of neural activity, which picture the monkey was looking at.

Next, they presented the monkey with two of those same images, and watched the neural patterns switch back and forth to the point where the researchers could predict which image the monkey would choose based on the length of time that the monkey stared at the picture.

The more the monkey needed to think about the options, particularly when there was not much difference between the amounts of juice offered, the more the neural patterns would switch back and forth.

“Now that we can see when the brain is considering a particular choice, we could potentially use that signal to electrically stimulate the neural circuits involved in the decision and change the final choice,” Wallis says.

Erin Rich, a researcher at the Helen Wills Neuroscience Institute, is lead author of the study published in the journal Nature Neuroscience. The National Institute on Drug Abuse and the National Institute of Mental Health funded the work.

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