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Related Experiment Video

Updated: Sep 3, 2025

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

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Decoding the neural responses to experiencing disgust and sadness.

Hans Revers¹, Katrijn Van Deun², Wim Strijbosch³

¹Department of Cognitive Neuropsychology, Tilburg University, Netherlands.

|July 31, 2022

Summary

Scientists identified distinct brain patterns for sadness and disgust emotions using electroencephalography (EEG). This research helps differentiate emotional experiences, even when valence and arousal levels are similar.

Keywords:

Classification Disgust EEG ERP Emotion Sadness Valence

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Observational Fear as a Model of Affective Empathy in Mice

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Published on: November 22, 2024

Area of Science:

Neuroscience
Psychology
Affective Science

Background:

Classifying experienced emotions via neural responses is crucial for research and clinical applications.
Understanding discrete emotional experiences, independent of valence and arousal, remains a challenge.

Purpose of the Study:

To decode the neural representation of sadness and disgust.
To identify distinct neural signatures for these emotions, controlling for valence and arousal.

Main Methods:

Participants viewed images from the International Affective Picture System designed to evoke sadness or disgust.
Electroencephalography (EEG) recorded brain activity.
Event-related potentials (ERPs) and support-vector machine (SVM) classification analyzed neural data.

Main Results:

Differential neural responses were observed in N1 and EPN components.
A support-vector machine classifier achieved 58% accuracy in distinguishing between sadness and disgust based on whole-brain EEG patterns.

Conclusions:

Discrete emotions, such as sadness and disgust, possess distinct neural representations.
These neural differences persist even when emotional valence and arousal are matched, supporting the existence of unique neural signatures for basic emotions.