Brain Rhythm Study Shows You Can't See What You Don't Pay Attention To
Any two of these images would flash briefly onscreen some unpredictable time after volunteers pushed a button to start visual perception test performed by researchers at the University of Tokyo. Viewers had to identify both the light intensity (white or black color) and the orientation of the image (left or right diagonal lines). Nakayama and Motoyoshi 2019, originally published in The Journal of Neuroscience. DOI: 10.1523/JNEUROSCI.2494-18.2019
Rhythmic waves of brain activity cause us to see or not see complex images that flash before our eyes. An image can become practically invisible if it flashes before our eyes at the same time as a low point of those brain waves. We can reset that brain wave rhythm with a simple voluntary action, like choosing to push a button.
The new results come from experts who use optical illusions to understand human vision. Human sight involves activity both in the eyes and in the brain. Optical illusions are formed by playing tricks on any part of our complex visual system.
"This is the first record of rhythmic brain activity used to achieve integrated visual perception," said Associate Professor Isamu Motoyoshi from the University of Tokyo and co-author of the recent research article.
Reoccurring rhythms of attention and perception
Previous research identified that attention fluctuates six to eight times per second (6 to 8 Hertz), a rate researchers refer to as theta rhythms.
The recent investigation started when Motoyoshi and colleagues were studying the Gabor pattern illusion, in which a smoothly moving circle appears to jump across the screen.
Viewers saw jumps at a constant rhythm regardless of the actual speed of the illusion. The rhythm of jumps in the optical illusion was remarkably similar to the theta rhythm of brain waves related to attention.
"That led us to want to study rhythms of attention and visual perception in more detail," said Motoyoshi.
Binding form and color in conscious perception
In their recent experiments, researchers asked participants to push a button to begin each trial, whenever they felt ready. Then after some unpredictable wait time, two images would quickly flash on a computer screen, one after the other. Participants then reported which images they saw.
"These tests are considered high cognitive load tasks. You have to identify both the light intensity - white or black color - and the orientation of the image - left or right diagonal lines," said Ryohei Nakayama, Ph.D., previously a project researcher in Motoyoshi's lab and a currently a researcher at the University of Sydney, Australia.
You can't see what you don't pay attention to
The wait time between the button push and the image flash was between 50 to 800 milliseconds long. In that length of time, theta rhythm brain waves can fluctuate four to seven times.
Participants were much more likely to report correctly which images they saw when the images flashed at the same time as a high point of their attention brain waves, as measured by an EEG (electroencephalogram). The opposite was also true: Participants were more likely to give an incorrect answer when the images were flashed at the same time as a low point of their attention brain wave.
Theoretically, an image could become functionally invisible if it always flashed in time with the low points of theta rhythm attention brain waves.
"Under certain conditions, attention is needed to achieve unified perception. That's the classical story," said Motoyoshi.
"But, it is unlikely that one specific brain region is important for attention. Instead, we think the new story is that periodic rhythmic waves of brain activity are required for both visual perception and attention," he continued.
Motoyoshi and Nakayama hope that their ongoing visual perception research will continue to reveal the complexities of consciousness.
Reference: Nakayama, R., & Motoyoshi, I. (2019). Attention periodically binds visual features as single events depending on neural oscillations phase-locked to action. Journal of Neuroscience, 2494–18. https://doi.org/10.1523/JNEUROSCI.2494-18.2019
This article has been republished from materials provided by the University of Tokyo. Note: material may have been edited for length and content. For further information, please contact the cited source.
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