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In A Nutshell
- Healthiness information is available early in the brain, on a similar timescale to other decision-relevant features, contradicting the idea that taste must be processed first.
- The study tracked 110 people’s brain activity while viewing 120 foods, revealing that different food attributes activate in overlapping but distinct time windows.
- Two underlying factors drive food choices: how appetizing the food seems and how processed it is, with the “appetizing” dimension showing both early and sustained brain activity.
- These findings challenge the idea that we’re hardwired to process immediate pleasure faster than long-term health considerations when choosing foods.
Next time someone tells you to “think before you eat,” they might want to reconsider that advice. Research from the University of Melbourne reveals that your brain has already sized up a food’s healthiness, tastiness, and calorie content within a fraction of a second. Rather than evaluating these factors one at a time, the brain processes them in parallel, with overlapping time windows.
For years, scientists believed the brain evaluated food attributes in sequence. Immediately gratifying qualities like taste would register first. More abstract considerations like nutritional value would follow. The assumption was that healthiness took a backseat because it required more complex thinking.
But this study, published in Appetite, challenges that timeline. Researchers combined brain imaging data from 110 participants with detailed food ratings from 421 others. Healthiness information appeared in brain signals from around 195 milliseconds after people glimpsed food, with peak activity around 200-227 milliseconds. When researchers examined broader dimensions capturing multiple related qualities, they found that the “appetizing” dimension (encompassing taste-related features) also showed early processing around 215 milliseconds, demonstrating that health-related information doesn’t require extra processing time.
How Scientists Mapped the Brain’s Food Radar
The research team, led by Violet Chae at Melbourne School of Psychological Sciences, used electroencephalography (EEG) to measure brain activity with millisecond precision. Participants wore caps studded with 64 electrodes that detected electrical signals while they viewed food images on a screen.
Each image appeared for two seconds. After the image disappeared, a prompt asked “Healthy?”, “Tasty?”, or “Like to eat?”, and participants responded by keypress. Later, they rated each food on sliding scales for healthiness, tastiness, and willingness to eat.
A separate sample of 421 participants each rated a subset of 40 out of the 120 images on 12 attributes. These spanned nutritional properties (healthiness, calorie content, how ready to eat the food was, and how processed it appeared), hedonic properties (tastiness, willingness to eat, positive and negative emotional valence, and arousal), and familiarity (how often they encountered the food, how easily they recognized it, and how typical it seemed).
The food selection itself was strategic. Beyond standard images of fruits, vegetables, and snack foods, the researchers added 29 additional images chosen to be generally less appetizing and less familiar, to increase rating variance, especially for qualities like tastiness and emotional response.
Using a method called representational similarity analysis, the researchers compared patterns in the brain data to patterns in how people rated the foods. When the brain’s electrical patterns matched the structure of people’s ratings for a particular attribute, that indicated the brain was actively processing that type of information.

What the Brain Activity Revealed
Food attributes showed varied timing patterns. Some appeared early with peaks around 200 milliseconds, while others emerged only in later sustained windows.
Early processors: Healthiness, calorie content, and level of processing all showed correlations beginning from approximately 195-250 milliseconds, with early peaks around 200-250 milliseconds from food image onset. Emotional valence (negative from 154 ms, positive from 193 ms) peaked around 209 milliseconds and also showed later sustained activity from 545-640 milliseconds onward. All three familiarity measures showed similar early peaks between 205-213 milliseconds.
Late processors: Individual ratings of tastiness and willingness to eat showed sustained activity starting only from around 654-670 milliseconds, without the early peak seen in other attributes.
The early window likely reflects attention grabbing, the researchers explained. Foods that differ on decision-relevant features capture attention quickly, setting the stage for more detailed evaluation. The later, sustained activity (beginning for various attributes between 375-670 milliseconds) corresponds to deeper appraisal, where the brain assesses multiple attributes before integrating information into a decision.
Two Core Dimensions Drive Healthy Food Choices
Because many food attributes are strongly correlated, the researchers dug deeper to identify underlying patterns. Using principal component analysis, they found two broad dimensions that captured 85.5 percent of the total variation in how people rated foods (58.4% and 27.2% respectively).
The first dimension, “how appetizing” the food is, loaded heavily on tastiness, willingness to eat, positive valence, and all three familiarity measures. It also showed a negative loading for edibility (lower scores mean more ready-to-eat foods). Foods scoring high were familiar, desirable, and ready to consume. Importantly, this composite dimension showed BOTH an early peak around 215 milliseconds AND a later sustained window from 642 milliseconds, even though the individual tastiness attribute appeared only in later windows.
The second dimension, “how processed” the food is, loaded positively on calorie content, level of transformation, and arousal, and negatively on healthiness. Foods scoring high here were energy-dense, heavily transformed from their natural state, and perceived as less healthy. This dimension showed sustained activity from roughly 150 milliseconds onward throughout the analyzed timeframe.
The Way We Think About Healthy Food
The speed at which healthiness information registers contradicts the popular notion that we’re hardwired to prioritize immediate gratification over long-term health. Previous theories suggested that taste would be processed more easily and quickly than nutritional value.
Some behavioral studies supported this idea, finding that people tend to overweight quickly-processed attributes and underweight slowly-processed attributes. But the neural evidence has been mixed. This study reveals that healthiness information is available on a similar early timescale as other decision-relevant features. While individual ratings of tastiness emerge later, the broader “appetizing” quality of food (which captures taste-related features along with familiarity and positive feelings) is processed just as early.
The parallel processing makes sense when considering the brain’s efficiency. Rather than queuing up food attributes for sequential evaluation, the brain extracts multiple types of information simultaneously from a single glance at food. This enables rapid appraisal across multiple relevant dimensions.
Sustained activity in later time windows likely reflects a stage where the brain weighs these attributes against each other before reaching a decision. Research on dietary self-control has shown this later window is when people can modulate the relative importance of different attributes, such as increasing the weight given to healthiness when trying to make better food choices.
The sample skewed heavily female (81 of 110 participants), and all participants were from the same university community. The food images appeared on a screen rather than as real options, so the results may not fully capture how people evaluate food when actual consumption is imminent.
Still, the research shows we shouldn’t underestimate our capacity for rapid food evaluation across multiple dimensions. The brain doesn’t need extra time to access information about healthiness. What determines our choices isn’t whether we have access to healthiness information quickly enough but how much weight we assign to it when competing attributes pull in different directions.
Paper Summary
Methodology
Researchers recruited 110 participants who viewed 120 food images while wearing EEG caps that recorded electrical brain activity. Each image appeared for two seconds, followed by a prompt asking whether the food was healthy, tasty, or something the participant would like to eat. Participants responded via keypress, then rated each food on healthiness, tastiness, and willingness to eat using sliding scales.
A separate sample of 421 participants each rated a subset of 40 out of the 120 images on 12 attributes: healthiness, calorie content, edibility, level of transformation, tastiness, willingness to eat, negative valence, positive valence, arousal, previous exposure, recognizability, and typicality. The research team used representational similarity analysis to compare patterns in brain activity to patterns in food attribute ratings. Analyses covered the first 1,000 milliseconds after image onset.
Results
Most food attributes showed either an early peak around 200 milliseconds, later sustained activity, or both patterns. Healthiness, calorie content, and level of transformation showed unique contributions starting from approximately 195, 244, and 197 milliseconds respectively, with healthiness peaking around 203-227 milliseconds. Negative valence showed unique contributions from 154 milliseconds with a 209-millisecond peak, followed by later sustained activity from 545 milliseconds. Positive valence peaked at 209 milliseconds with later sustained activity from 640 milliseconds. Arousal showed later unique contributions from 377 milliseconds. Familiarity attributes (recognizability, exposure, typicality) peaked between 205 and 213 milliseconds. Tastiness and willingness to eat (as individual attributes) showed only later sustained activity, starting around 654-670 milliseconds.
Principal component analysis revealed two broad dimensions accounting for 85.5 percent of rating variance (58.4% and 27.2% respectively): “how appetizing” (loading on tastiness, willingness to eat, valence, familiarity, and negatively on edibility) and “how processed” (loading on calorie content, transformation level, arousal, and negatively on healthiness). The “appetizing” dimension showed both an early peak at 215 milliseconds and later sustained activity from 642 milliseconds. The “processed” dimension showed sustained activity from 150 milliseconds onward. Several individual attributes (healthiness, calorie content, level of transformation, negative valence, arousal, and recognizability) explained unique variance in brain activity beyond what was shared with other attributes.
Limitations
The sample was predominantly female (81 of 110) and drawn entirely from a single university community. Participants viewed food images on a screen rather than encountering real food choices, which may not fully capture decision processes when actual consumption is at stake. The researchers analyzed only the first 1,000 milliseconds after image onset. Some trials were excluded due to technical issues with EEG recording quality. Many food attributes were highly correlated, making it challenging to isolate the unique contribution of individual attributes despite the statistical techniques used.
Funding and Disclosures
This research was supported by Australian Research Council Discovery Early Career Researcher Awards to Daniel Feuerriegel (ARC DE220101508) and Tijl Grootswagers (ARC DE230100380), plus a Research Training Program scholarship awarded to Violet J. Chae from the Australian Government. Funding sources had no role in study design, data collection, analysis, or interpretation of results. All authors declared no conflicts of interest.
Publication Details
Chae, V. J., Grootswagers, T., Bode, S., & Feuerriegel, D. (2026). “Characterising the neural time-courses of food attribute representations,” appears in the February 1, 2026 edition of the journal Appetite, 217, 108337. doi:10.1016/j.appet.2025.108337







