EEG correlates of perceived food product similarity in a cross-modal taste-visual task
Abstract
The most common tools to understand perception of food products are hall-tests, surveys, observations, etc. However to get reliable results these approaches require large samples, making them costly and time-consuming. Furthermore, they are also highly expert-dependent and rely on the assumption that study participants can express their preferences consciously and explicitly. Here we suggested an EEG-based approach to evaluate perceived product similarity in a cross-modal taste-visual task. Two candidate neurometrics measured from Fz electrode were tested: the amplitude of N430-620 from evoked response potentials (ERP) and the power of induced gamma oscillations during 400-600 ms period after visual stimulus presentation. Both suggested metrics showed a strong correlation with the perceived similarity scores at both individual and group levels, however N430-630 had greater inter-subject variability making it less suitable for practical applications. The results based on the power of induced gamma oscillations (N=18) not only reflected the results from traditional hall-tests (N=200) but also allowed better discrimination between different food products.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 31
- FWCI
- 2.27
- Field percentile
- top 14%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Gustatory cortex is involved in evidence accumulation during food choice
Ali Ataei, Arash Amini, Ali Ghazizadeh·eNeuroPeer-reviewed·May 1, 2022
- Characterising the neural time-courses of food attribute representations
Violet J Chae, Tijl Grootswagers, … Daniel Feuerriegel·AppetitePeer-reviewed·Oct 7, 2025
- An open dataset of human electroencephalographic and behavioural responses to food images
Violet J Chae, Tijl Grootswagers, … Daniel Feuerriegel·Scientific DataPeer-reviewed·Jul 20, 2026
- Pathways to Consumers Minds: Using Machine Learning and Multiple EEG Metrics to Increase Preference Prediction Above and Beyond Traditional Measurements
Adam Hakim, Shira Klorfeld, … Dino J Levy·bioRxiv·Aug 16, 2018
- Early Neural Correlates of an Auditory Pitch - Visual Size Cross-modal Association
Stephanie C. Boyle, Christoph Kayser, Robin A. A. Ince·bioRxiv·Sep 25, 2018
- Engaging Visual Media Shifts Taste-Related Neural Processing: An fMRI Study on Distracted Eating
Robert Friedmann, Bichr Grii, … Rik Sijben·Neuroimage ReportsPeer-reviewed·May 6, 2026