TY - CONF

T1 - Analysis of the EEG Rhythms During Viewing an Emotional Video as a Biomarker of Psycho-Emotional State

AU - Blagovechtchenski, Evgeny

AU - Lukov, Mikhail

AU - Bartseva, Ksenia

AU - Nikishina, Uliana

AU - Fomicheva, Daria

AU - Shestakova, Anna

AU - Pomelova, Ekaterina

AU - Koriakina, Maria

PY - 2024/9/19

Y1 - 2024/9/19

N2 - To test a person’s psycho-emotional state, various methods are used, one of which is a reaction to an emotional video sequence. Such a reaction can make it possible to assess the degree of a person’s involvement in certain emotional events. However, there are few methods to assess psycho-emotional status objectively. One of the sensitive markers is the analysis of a subject’s electroencephalogram (EEG), requiring appropriate videos and EEG analyses. Here, a unique video sequence was chosen that evokes positive emotions in the first part and empathy/sadness in the final part. Therefore, evaluating the transition dynamics from one emotion to another is possible. The analysis showed that such a transition is reliably reflected in the change in the amplitude of rhythms in the beta and gamma ranges of the EEG, as well as their topography. The proposed approach may be unique for assessing a person's psycho-emotional state dynamics.

AB - To test a person’s psycho-emotional state, various methods are used, one of which is a reaction to an emotional video sequence. Such a reaction can make it possible to assess the degree of a person’s involvement in certain emotional events. However, there are few methods to assess psycho-emotional status objectively. One of the sensitive markers is the analysis of a subject’s electroencephalogram (EEG), requiring appropriate videos and EEG analyses. Here, a unique video sequence was chosen that evokes positive emotions in the first part and empathy/sadness in the final part. Therefore, evaluating the transition dynamics from one emotion to another is possible. The analysis showed that such a transition is reliably reflected in the change in the amplitude of rhythms in the beta and gamma ranges of the EEG, as well as their topography. The proposed approach may be unique for assessing a person's psycho-emotional state dynamics.

KW - EEG

KW - emotions

KW - psycho-emotional state

KW - psychological testing

UR - https://www.mendeley.com/catalogue/5fc7b947-06e5-329b-b73a-c1e91b5671b7/

U2 - 10.1109/cnn63506.2024.10705851

DO - 10.1109/cnn63506.2024.10705851

M3 - Paper

SP - 22

EP - 24

T2 - 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN)

Y2 - 19 September 2024 through 21 September 2024

ER -