Detection and Analysis of ERPs for Social Cognition Evaluation

This paper describes an approach for elicitation, acquisition, and analysis of event-related potentials (ERPs) for social cognition evaluation. We used images of emotional content that were classified into three groups according to their valence: pleasant, unpleasant, and neutral. An application for...

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Autores:
Cabarcas-Mena, Yina
Gutierrez-Ruiz, Karol
Campo-Landines, Kiara C.
Contreras-Ortiz, Sonia H.
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12320
Acceso en línea:
https://hdl.handle.net/20.500.12585/12320
Palabra clave:
Emotion;
Evoked Potentials;
Cognitive Strategies
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Detection and Analysis of ERPs for Social Cognition Evaluation
title Detection and Analysis of ERPs for Social Cognition Evaluation
spellingShingle Detection and Analysis of ERPs for Social Cognition Evaluation
Emotion;
Evoked Potentials;
Cognitive Strategies
title_short Detection and Analysis of ERPs for Social Cognition Evaluation
title_full Detection and Analysis of ERPs for Social Cognition Evaluation
title_fullStr Detection and Analysis of ERPs for Social Cognition Evaluation
title_full_unstemmed Detection and Analysis of ERPs for Social Cognition Evaluation
title_sort Detection and Analysis of ERPs for Social Cognition Evaluation
dc.creator.fl_str_mv Cabarcas-Mena, Yina
Gutierrez-Ruiz, Karol
Campo-Landines, Kiara C.
Contreras-Ortiz, Sonia H.
dc.contributor.author.none.fl_str_mv Cabarcas-Mena, Yina
Gutierrez-Ruiz, Karol
Campo-Landines, Kiara C.
Contreras-Ortiz, Sonia H.
dc.subject.keywords.spa.fl_str_mv Emotion;
Evoked Potentials;
Cognitive Strategies
topic Emotion;
Evoked Potentials;
Cognitive Strategies
description This paper describes an approach for elicitation, acquisition, and analysis of event-related potentials (ERPs) for social cognition evaluation. We used images of emotional content that were classified into three groups according to their valence: pleasant, unpleasant, and neutral. An application for stimuli generation based on the emotional oddball paradigm (EOP) was developed, and a commercial wireless EEG headset was used for signal acquisition. The ERPs of 13 volunteers for the three types of stimuli were obtained and analyzed to extract the N100 and P300 components. The results show increased amplitudes in ERP components due to unpleasant stimuli and longer latencies observed in neutral stimuli. © 2022 IEEE.
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-07-21T16:20:54Z
dc.date.available.none.fl_str_mv 2023-07-21T16:20:54Z
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv 10.1109/ANDESCON56260.2022.9989524
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dc.identifier.doi.none.fl_str_mv 10.1109/ANDESCON56260.2022.9989524
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv 10.1109/ANDESCON56260.2022.9989524
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12320
dc.language.iso.spa.fl_str_mv eng
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dc.format.extent.none.fl_str_mv 6 páginas
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dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022
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spelling Cabarcas-Mena, Yina3c235b46-693e-45ba-89bc-7ddce9425daeGutierrez-Ruiz, Karol9431cc3d-7ebb-481c-8916-3186c0de5980Campo-Landines, Kiara C.fa37745f-9d1c-45d0-8964-00ad272d3a6bContreras-Ortiz, Sonia H.1d56d7f5-97c9-4429-b47d-48ebe97de2a82023-07-21T16:20:54Z2023-07-21T16:20:54Z2022202310.1109/ANDESCON56260.2022.9989524https://hdl.handle.net/20.500.12585/1232010.1109/ANDESCON56260.2022.9989524Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper describes an approach for elicitation, acquisition, and analysis of event-related potentials (ERPs) for social cognition evaluation. We used images of emotional content that were classified into three groups according to their valence: pleasant, unpleasant, and neutral. An application for stimuli generation based on the emotional oddball paradigm (EOP) was developed, and a commercial wireless EEG headset was used for signal acquisition. The ERPs of 13 volunteers for the three types of stimuli were obtained and analyzed to extract the N100 and P300 components. The results show increased amplitudes in ERP components due to unpleasant stimuli and longer latencies observed in neutral stimuli. © 2022 IEEE.6 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf22022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022Detection and Analysis of ERPs for Social Cognition Evaluationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Emotion;Evoked Potentials;Cognitive StrategiesCartagena de IndiasSocial cognition in post-traumatic stress disorder: A systematic review (2020) British Journal of Clinical Psychology, 59 (2), pp. 117-138. 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Emotional oddball: A review on variants, results, and mechanisms (2017) Review of General Psychology, 21 (3), pp. 179-222. Cited 10 times. https://journals.sagepub.com/home/RGP doi: 10.1037/gpr0000120Konvalinka, I., Roepstorff, A. The two-brain approach: How can mutually interacting brains teach us something about social interaction? (2012) Frontiers in Human Neuroscience, (JULY). Cited 229 times. http://www.frontiersin.org/Journal/DownloadFile.ashx?pdf=1&FileId=%20124274&articleId=%2030823&Version=%201&ContentTypeId=58&FileName=%20Provisional%20PDF.pdf doi: 10.3389/fnhum.2012.00215Qing, C., Qiao, R., Xu, X., Cheng, Y. Interpretable Emotion Recognition Using EEG Signals (2019) IEEE Access, 7, art. no. 8762129, pp. 94160-94170. Cited 80 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2019.2928691Aguiñaga, A.R., Hernandez, D.E., Quezada, A., Calvillo Téllez, A. 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Cited 26 times. http://www.sciencedirect.com/science/journal/02085216 doi: 10.1016/j.bbe.2017.05.004Jiang, J., Zeng, Y., Tong, L., Zhang, C., Yan, B. Single-trial ERP detecting for emotion recognition (Open Access) (2016) 2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016, art. no. 7515886, pp. 105-108. Cited 10 times. ISBN: 978-150902239-7 doi: 10.1109/SNPD.2016.7515886Lang, P.J., Bradley, M.M., Cuthbert, B.N. International affective picture system (2005) PsycTESTS Dataset. Cited 5593 times.Schupp, H.T., Junghöfer, M., Weike, A.I., Hamm, A.O. Emotional facilitation of sensory processing in the visual cortex (2003) Psychological Science, 14 (1), pp. 7-13. Cited 492 times. doi: 10.1111/1467-9280.01411Gantiva, C., Barrera-Valencia, M., Cadavid-Ruiz, N., Calderón-Delgado, L., Gelves-Ospina, M., Herrera, E., Mejía-Orduz, M., (...), Suárez-Pico, P. 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