A new study reveals partially distinct frequency-specific electroencephalogram (EEG) oscillatory patterns in response to food and alcohol cues, reflecting different motivational processes in the brain.
Research: Brain signatures of food and alcohol stimulus processing: A comparative EEG study. Image credit: Master1305 / Shutterstock
recent Frontiers of human neuroscience In this study, we investigated whether sustained EEG oscillatory dynamics differentiate neural processing of food and alcohol cues.
Processing food and alcohol cues
Motivated behavior is defined as behavior that promotes survival by directing an organism toward biologically relevant goals. These behaviors require interaction with the environment and demonstrate neural connections between emotion and behavior. In humans, highly motivating visual cues such as food and alcohol activate reward-related neural circuits associated with attention, decision-making, and inhibitory control. Neural processing of these cues provides insight into the mechanisms underlying maladaptive behaviors such as compulsive eating and excessive alcohol consumption.
EEG provides precise timing to assess the brain’s response to motivational cues. Food stimuli elicit higher P300 waves and LPP amplitudes than non-food stimuli, reflecting greater attention and motivation. Inhibitory control is essential for processing appetitive stimuli that increase cognitive demands. Research has shown that control circuits extend beyond the prefrontal cortex, demonstrating a relationship between motivational salience and cognitive control.
Alcohol cues elicit neural responses similar to those evoked by food cues. This includes increased P300 wave amplitude and enhanced event-related potential (ERP) microstates throughout the consumption pattern. Analyzes using ERP and spectral EEG confirm strong and potentially distinct motivational neural reactivity to both alcohol and food cues. The oscillatory changes observed during alcohol cue exposure highlight the importance of spectral EEG methods.
Spectral EEG analysis reveals the persistent neurodynamics underlying motivation. Delta and theta oscillations are associated with reward anticipation and increased motivation, while alpha band activity is associated with attention and inhibitory control. These oscillatory markers may reflect internal states such as hunger, craving, or withdrawal, and distinguish between physiological and motivational processes beyond what transient ERPs can capture.
However, given differences in sensory modalities, consumption patterns, and learned associations, it remains unclear whether food and alcohol cues involve common or separate neural oscillatory mechanisms. Direct comparative analyzes are required to reveal the specificities and overlaps in the neural processing of these appetitive stimuli.
EEG cue reactivity study design
The current study analyzed EEG oscillatory activity as participants passively observed alcohol, food, and neutral images and identified distinct spectral signatures associated with motivation. Images were categorized into four categories: alcohol, neutral alcohol, food, unappetizing food, and neutral food. Each participant viewed a total of 208 images, 52 for each condition.
A total of 65 participants were initially recruited (34 women and 31 men), with an average age of 25 years. However, the final sample consisted of 48 participants (24 women, 24 men) who met the eligibility criteria. Images were presented in eight alternating blocks (food/alcohol), with each block containing 26 images (13 neutral images and 13 food/alcohol related). Each image was displayed for 7 seconds, followed by a fixation cross for 2 seconds. Blocks were separated by 20-s breaks and 3-min breaks in between.
Before EEG and postural recordings, participants completed the Mini-Mental State Examination (MMSE) and seven validated French questionnaires assessing sociodemographic, psychological, and cognitive characteristics. These include the Beck Depression Inventory-II (BDI-II) for depression, the State-Trait Anxiety Inventory-Trait (STAI-Trait) for anxiety, the Edinburgh Handedness Inventory, the Dutch Eating Behavior Questionnaire (DEBQ) for eating behavior, the Alcohol Use Disorders Identification Test (AUDIT) for alcohol use, and the Fagerström Test for nicotine dependence.
Subjective and neural cue findings
In the current study, participants were stratified by alcohol use to capture individual differences. Interpretations were formed through an exploratory approach and multiple comparisons with the aim of revealing general patterns of subjective and neural responses across stimulus types. AUDIT subgroups were created using median splits and reflect relative differences within the nonclinical sample rather than clinical drinking categories.
Both alcohol and food cues evoked significantly stronger subjective responses than neutral ones, especially in the motivational aspect. In particular, appetizing food cues were differentiated from alcohol-related cues and neutral cues and produced the highest ratings in terms of approach and desire to consume. Among participants with relatively high AUDIT scores, food cues maintained strong effects across all subjective measures, whereas differences in alcohol cues were limited to desire to consume, suggesting reduced salience of alcohol cues in this subgroup.
Neural influences on cue reactivity were generally sparse and showed small effect sizes. Alcohol cues caused limited spectral changes, most prominently in the beta-band cluster over the right posterior electrode. Food vs. neutral food showed an increase in delta band power across posterior and central parietal regions, whereas a decrease in delta and increase in alpha activity was observed primarily for alcohol vs. food contrasts. These neural effects are limited in both magnitude and spatial distribution, showing only modest differences between cue types at the neural level.
We did not find strong associations between neural cue reactivity and psychometric measures because the initial correlations did not remain after correction for multiple comparisons. A notable exception was the negative association between food cutheta reactivity and dietary restriction, suggesting reduced neural responses in individuals with higher dietary restriction.
Subgroup analyzes supported these trends, with only modest delta and alpha band effects distinguishing alcohol and food cues in participants with relatively high AUDIT scores, and no significant neural effects on other contrast or frequency bands. No significant neural effects were observed for food and neutral cues in high AUDIT participants.
Taken together, these results highlighted that the motivational salience of appetitive cues is more strongly reflected in subjective evaluations than in neurospectral responses, and that individual differences in alcohol use and dietary restriction subtly modulate these patterns.
Brain wave motivation research
The current study demonstrated that, when viewed passively, food and alcohol cues are associated with locally distinct, small, and spatially restricted patterns of brain activity. Food cues are primarily associated with increased delta band activity, potentially consistent with its biological and homeostatic relevance. In contrast, alcohol-related processing, particularly alcohol versus food contrasts, is associated with increased alpha activity and decreased delta activity, reflecting attentional processes and mixed motives. It should be noted that some oscillatory differences were more evident in participants with relatively high AUDIT scores within the non-clinical sample, indicating that brain responses may be useful in characterizing individual differences in cue reactivity.
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Reference magazines:
- Kizilisik, S., Duman, D., Zitouni, A., Campanella, S., Aarabi, A., Akounach, M., Mouras, H. (2026). Brain signatures of food and alcohol stimulus processing: A comparative electroencephalogram study. Frontiers of human neuroscience. 20, 1748993. Doi: 10.3389/fnhum.2026.1748993, https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2026.1748993/full
