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Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates
The present research investigates the neurophysiological activity elicited by fast observations of faces of real candidates during simulated political elections. We used simultaneous recording of electroencephalographic (EEG) signals as well as galvanic skin response (GSR) and heart rate (HR) as mea...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4158281/ https://www.ncbi.nlm.nih.gov/pubmed/25214884 http://dx.doi.org/10.1155/2014/434296 |
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author | Vecchiato, Giovanni Toppi, Jlenia Maglione, Anton Giulio Olejarczyk, Elzbieta Astolfi, Laura Mattia, Donatella Colosimo, Alfredo Babiloni, Fabio |
author_facet | Vecchiato, Giovanni Toppi, Jlenia Maglione, Anton Giulio Olejarczyk, Elzbieta Astolfi, Laura Mattia, Donatella Colosimo, Alfredo Babiloni, Fabio |
author_sort | Vecchiato, Giovanni |
collection | PubMed |
description | The present research investigates the neurophysiological activity elicited by fast observations of faces of real candidates during simulated political elections. We used simultaneous recording of electroencephalographic (EEG) signals as well as galvanic skin response (GSR) and heart rate (HR) as measurements of central and autonomic nervous systems. Twenty healthy subjects were asked to give judgments on dominance, trustworthiness, and a preference of vote related to the politicians' faces. We used high-resolution EEG techniques to map statistical differences of power spectral density (PSD) cortical activity onto a realistic head model as well as partial directed coherence (PDC) and graph theory metrics to estimate the functional connectivity networks and investigate the role of cortical regions of interest (ROIs). Behavioral results revealed that judgment of dominance trait is the most predictive of the outcome of the simulated elections. Statistical comparisons related to PSD and PDC values highlighted an asymmetry in the activation of frontal cortical areas associated with the valence of the judged trait as well as to the probability to cast the vote. Overall, our results highlight the existence of cortical EEG features which are correlated with the prediction of vote and with the judgment of trustworthy and dominant faces. |
format | Online Article Text |
id | pubmed-4158281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41582812014-09-11 Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates Vecchiato, Giovanni Toppi, Jlenia Maglione, Anton Giulio Olejarczyk, Elzbieta Astolfi, Laura Mattia, Donatella Colosimo, Alfredo Babiloni, Fabio Comput Math Methods Med Research Article The present research investigates the neurophysiological activity elicited by fast observations of faces of real candidates during simulated political elections. We used simultaneous recording of electroencephalographic (EEG) signals as well as galvanic skin response (GSR) and heart rate (HR) as measurements of central and autonomic nervous systems. Twenty healthy subjects were asked to give judgments on dominance, trustworthiness, and a preference of vote related to the politicians' faces. We used high-resolution EEG techniques to map statistical differences of power spectral density (PSD) cortical activity onto a realistic head model as well as partial directed coherence (PDC) and graph theory metrics to estimate the functional connectivity networks and investigate the role of cortical regions of interest (ROIs). Behavioral results revealed that judgment of dominance trait is the most predictive of the outcome of the simulated elections. Statistical comparisons related to PSD and PDC values highlighted an asymmetry in the activation of frontal cortical areas associated with the valence of the judged trait as well as to the probability to cast the vote. Overall, our results highlight the existence of cortical EEG features which are correlated with the prediction of vote and with the judgment of trustworthy and dominant faces. Hindawi Publishing Corporation 2014 2014-08-24 /pmc/articles/PMC4158281/ /pubmed/25214884 http://dx.doi.org/10.1155/2014/434296 Text en Copyright © 2014 Giovanni Vecchiato et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Vecchiato, Giovanni Toppi, Jlenia Maglione, Anton Giulio Olejarczyk, Elzbieta Astolfi, Laura Mattia, Donatella Colosimo, Alfredo Babiloni, Fabio Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates |
title | Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates |
title_full | Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates |
title_fullStr | Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates |
title_full_unstemmed | Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates |
title_short | Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates |
title_sort | neuroelectrical correlates of trustworthiness and dominance judgments related to the observation of political candidates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4158281/ https://www.ncbi.nlm.nih.gov/pubmed/25214884 http://dx.doi.org/10.1155/2014/434296 |
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