Clustering of independent components of EEG in determining individual characteristics of reactions related to a moral choice

A. V. Bocharov, Q. A. Bogomaz, A. N. Savostyanov, G. G. Knyazev, A. V. Budakova, M. S. Zaleshin, T. N. Astakhova

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Moral judgment can be defined as the evaluation of actions with respect to norms and values established in a society. In the modern world, morality is considered as the social capital, which determines a level of society well-being. Participants were showed 24 moral dilemma and 24 control task vignettes represented artist-sketched cartoons of control and dilemma scenarios. For all participants and every experimental condition, the model of localization equivalent dipoles electroencephalogram (EEG) components was made. Individual localization of EEG electrodes was matched with a model of localization of electrodes of head, which was used for determining the equivalent dipoles. Event-related spectral perturbations were calculated to estimate induced responses via the EEGLAB toolbox. The dataset was prepared for clustering by the original PCA method. The correction for multiple comparisons was made by the False Discovery Rate method. To determine the correlations cortical sources of EEG activity with Social Intellect, sLORETA was applied to the data. Differences between moral dilemmas and control tasks without moral choice were found in delta, theta, alpha and beta diapasons in clusters localized in temporal and frontal lobe. Social intellect positively correlated with difference between the test interval and the baseline during making moral dilemma choice in theta in the left middle temporal gyrus and beta in the left middle frontal gyrus.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Biomedical Engineering and Computational Technologies, SIBIRCON 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-107
Number of pages4
ISBN (Electronic)9781467391115
DOIs
Publication statusPublished - 21 Dec 2015
EventInternational Conference on Biomedical Engineering and Computational Technologies, SIBIRCON 2015 - Novosibirsk, Russian Federation
Duration: 28 Oct 201530 Oct 2015

Publication series

NameProceedings - 2015 International Conference on Biomedical Engineering and Computational Technologies, SIBIRCON 2015

Conference

ConferenceInternational Conference on Biomedical Engineering and Computational Technologies, SIBIRCON 2015
CountryRussian Federation
CityNovosibirsk
Period28.10.201530.10.2015

Keywords

  • EEG
  • independent components
  • moral dilemmas
  • social intellect
  • source localization

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