Summary: The color red is not particularly strong in terms of the strength of gamma oscillations it generates in the brain.
Red traffic lights make drivers stop. The color red produces a signaling and warning effect. But is this also reflected in the brain?
Researchers at the Ernst Strüngmann Institute (ESI) for Neuroscience have now investigated this question. They wanted to know whether red triggers brain waves more strongly than other colors.
The study, titled “Human visual gamma for color stimuli,” is published in the journal eLife.
The research of Benjamin J. Stauch, Alina Peter, Isabelle Ehrlich, Zora Nolte, and ESI director Pascal Fries focuses on the early visual cortex, also known as V1. It is the largest visual area in the brain and the first to receive input from the retina.
When this area is stimulated by strong and spatially homogeneous images, brain waves (oscillations) arise at a specific frequency called the gamma band (30–80 Hz). But not all images generate this effect to the same extent.
Color is hard to define
“Recently, a lot of research has attempted to explore which specific input drives gamma waves,” explains Benjamin J. Stauch, first author of the study. “One visual input seems to be colored surfaces. Especially if they are red. Researchers interpreted this to mean that red is evolutionarily special to the visual system because, for example, fruits are often red.”
But how can the effect of color be scientifically proven? Or refuted? After all, it is difficult to define a color objectively, and it is equally difficult to compare colors between different studies.
Every computer monitor reproduces a color differently, so red on one screen is not the same as on another. In addition, there are a variety of ways to define colors: based on a single monitor, perceptual judgments, or based on what their input does to the human retina.
Colors activate photoreceptor cells
Humans perceive color when photoreceptor cells, the so-called cones, are activated in the retina. They respond to light stimuli by converting them into electrical signals, which are then transmitted to the brain.
To recognize colors, we need several types of cones. Each type is particularly receptive to a specific range of wavelengths: red (L cones), green (M cones), or blue (S cones). The brain then compares how strongly the respective cones have reacted and deduces a color impression.
It works similarly for all human beings. It would therefore be possible to define colors objectively by measuring how strongly they activate the different retinal cones. Scientific studies with macaques have shown that the early primate visual system has two color axes based on these cones: the L-M axis compares red to green, and the S—(L+M) axis is yellow to violet.
“We believe that a color coordinate system based on these two axes is the right one to define colors when researchers want to explore the strength of gamma oscillations. It defines colors according to how strongly and in what way they activate the early visual system,” Benjamin J. Stauch says.
He and his team wanted to measure a larger sample of individuals (N = 30) because previous work on color-related gamma oscillations has mostly been run with small samples of a few primates or human participants, and the spectra of cone activation can vary genetically from individual to individual,
Red and green have an equal effect
In doing so, Benjamin J. Stauch and his team investigated whether the color red is special and whether this color causes stronger gamma oscillations than green of comparable color intensity (i.e., cone contrast).
They also explored a side question: Can color-induced gamma oscillations also be detected by magnetoencephalography (MEG), a method for measuring the magnetic activities of the brain?
They conclude that the color red is not particularly strong in terms of the strength of the gamma oscillations it induces. Rather, red and green produce equally strong gamma oscillations in the early visual cortex at the same absolute L-M cone contrast.
Moreover, color-induced gamma waves can be measured in human MEG when treated carefully, so future research could follow the 3R principles for animal experiments (reduce, replace, refine) by using humans rather than nonhuman primates.
Colors that activate only the S-cone (blue) generally appear to elicit only weak neuronal responses in the early visual cortex. To some extent, this is to be expected, since the S-cone is less common in the primate retina, evolutionarily older, and more sluggish.
The results of this study led by ESI scientists contribute to understanding how the early human visual cortex encodes images and may one day be used to help develop visual prostheses. These prostheses may attempt to activate the visual cortex to induce vision-like perceptual effects in people with damaged retinas. However, this goal is still a long way off.
Much more needs to be understood about the specific responses of the visual cortex to visual input.
About this visual neuroscience research news
Author: Press Office Source: ESI Contact: Press Office – ESI Image: The image is credited to ESI/C. Kernberger
Strong gamma-band oscillations in primate early visual cortex can be induced by homogeneous color surfaces (Peter et al., 2019; Shirhatti and Ray, 2018). Compared to other hues, particularly strong gamma oscillations have been reported for red stimuli.
However, precortical color processing and the resultant strength of input to V1 have often not been fully controlled for. Therefore, stronger responses to red might be due to differences in V1 input strength.
We presented stimuli that had equal luminance and cone contrast levels in a color coordinate system based on responses of the lateral geniculate nucleus, the main input source for area V1. With these stimuli, we recorded magnetoencephalography in 30 human participants.
We found gamma oscillations in early visual cortex which, contrary to previous reports, did not differ between red and green stimuli of equal L-M cone contrast.
Notably, blue stimuli with contrast exclusively on the S-cone axis induced very weak gamma responses, as well as smaller event-related fields and poorer change-detection performance.
The strength of human color gamma responses for stimuli on the L-M axis could be well explained by L-M cone contrast and did not show a clear red bias when L-M cone contrast was properly equalized.