Decoding emotions from the brain

What was the goal of this research?

The goal of this research was to decode and classify categories of emotions from brain activity. This knowledge could then be applied to detect deviations from normalcy in individuals experiencing problems, develop treatments, and assess the effectiveness of those treatments.

What method was employed?

Participants experienced emotions while their brain activity was measured using EEG. Virtual Reality was used to evoke strong and lifelike emotional experiences, and state-of-the-art machine learning techniques were employed to detect patterns in the brain activity associated with specific emotions.

What findings did we uncover?

The research focused on identifying commonalities in brain activity patterns for the same emotion and differences between various emotions. While specific findings aren't detailed, the study aims to expand understanding of emotional responses in healthy humans, with potential applications for treatment and diagnosis of emotional or neurological issues.

What is the timeline of this project?

Started in September 2017 - ongoing

Who is our main collaborating partner?

Tilburg University

Who is our funding partner?

Tilburg University, School for Social and Behavioural Sciences

Want to read more?

Here you can find more information.