Canadian researchers use infrared light to read children’s minds
Canadian researchers have figured out a way to read the minds of disabled children who can't speak or gesture by scanning their brains with infrared light. This methodology decodes preference with 80% accuracy. The way it works is the scanner measures the intensity of infrared light that gets absorbed in brain tissue when a person makes a decision. The scanner requires no prior training, such as linking mental tasks to most common respones like "yes" or "no," and it adapts to each individual's brain activity patterns. The new technology is expected to make the lives of disabled children easier by allowing them to interact with their environment better. The next step is to make the technology portable. Researchers reassure that it won't be possible to read random thoughts that human brain generates with their devise because doing so is too complex at this stage.
In a study published this month in The Journal of Neural Engineering, Bloorview scientists demonstrate the ability to decode a person's preference for one of two drinks with 80 per cent accuracy by measuring the intensity of near-infrared light absorbed in brain tissue.
Most brain-computer interfaces designed to read thoughts require training. For example, in order to indicate yes to a question, the person needs to do an unrelated mental task – such as singing a song in their head.
The nine adults in Luu's study received no training. Prior to the study they rated eight drinks on a scale of one to five.
Wearing a headband fitted with fibre-optics that emit light into the pre-frontal cortex of the brain, they were shown two drinks on a computer monitor, one after the other, and asked to make a mental decision about which they liked more. "When your brain is active, the oxygen in your blood increases and depending on the concentration, it absorbs more or less light," Luu says. "In some people, their brains are more active when they don't like something, and in some people they're more active when they do like something."
After teaching the computer to recognize the unique pattern of brain activity associated with preference for each subject, the researchers accurately predicted which drink the participants liked best 80 per cent of the time.
"Preference is the basis for everyday decisions," Luu says. When children with disabilities can't speak or gesture to control their environment, they may develop a learned helplessness that impedes development.
In future, Luu envisions creating a portable, near-infrared sensor that rests on the forehead and relies on wireless technology, opening up the world of choice to children who can't speak or move.
Luu notes that the brain is too complex to ever allow decoding of a person's random thoughts. "However, if we limit the context – limit the question and available answers, as we have with predicting preference – then mind-reading becomes possible."