By looking at gamers’ brainwaves, scientists can now predict who will improve most on an unfamiliar video game. The researchers used electroencephalography (EEG) to peek at electrical activity in the brains of 39 study subjects before they trained on Space Fortress, a video game developed for cognitive research.
The brain signals are an excellent predictor of improvement on the game, University of Illinois postdoctoral researcher and Beckman Fellow Kyle Mathewson said.
“By measuring your brainwaves the very first time you play the game, we can predict how fast you’ll learn over the next month.”, Mathewson said.
The subjects whose brainwaves oscillated most powerfully in the alpha spectrum (about 10 times per second, or 10 hertz) when measured at the front of the head tended to learn at a faster rate than those whose brain waves oscillated with less power, the researchers found. None of the subjects were daily video game players.
“These oscillations are the language of the brain, and different oscillations represent different brain functions.”
The EEG signal was a robust predictor of improvement on the game, said Kyle Mathewson, who led the research with psychology professors and Beckman Institute faculty members Monica Fabiani and Gabriele Gratton.
“We found that the people who had more alpha waves in response to certain aspects of the game ended up having the best improvement in reaction time and the best improvement in working memory,” Mathewson said.
This project is a part of a larger collaborative effort to determine whether measures of brain activity or brain structure can predict one’s ability to learn a new video game.
One analysis, led by Beckman Institute director Art Kramer (an author on this study as well), found that the volume of specific structures in the brain could predict how well people would perform on Space Fortress. That study used magnetic resonance imaging (MRI) to measure the relative sizes of different brain structures.
But MRI is expensive and requires that subjects lie immobile inside a giant magnet, Mathewson said. With EEG, researchers can track brain activity fairly inexpensively while subjects are engaged in a task in a less constricted, less artificial environment, he said.
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