Functional Connectivity Analysis of Prejudice Among Colombian Armed Conflict Former Actors [Análisis de conectividad funcional del prejuicio entre antiguos actores del conflicto armado colombiano]

Vista sencilla de ítem
dc.contributor.affiliationQuiza-Montealegre, J.J., Engineering Faculty, Universidad de Medellín, Carrera, Medellín, 87 No. 30-65, Colombia, Engineering Faculty, Universidad de Antioquia UDEA, Calle, Medellín, 70 No. 52-21, Colombia
dc.contributor.affiliationQuintero-Zea, A., School of Life Sciences, Universidad EIA, Km, vía al Aeropuerto José, María Córdoba, Envigado, 2 + 200, Colombia
dc.contributor.affiliationTrujillo, N., National Public Health Faculty, Universidad de Antioquia UDEA, Calle, Medellín, 70 No. 52-21, Colombia, Stempel College of Public Health and Social Work, Florida International University, Miami, FL, United States
dc.contributor.affiliationLópez, J.D., Engineering Faculty, Universidad de Antioquia UDEA, Calle, Medellín, 70 No. 52-21, Colombia
dc.contributor.authorQuiza-Montealegre J.J
dc.contributor.authorQuintero-Zea A
dc.contributor.authorTrujillo N
dc.contributor.authorLópez J.D.
dc.date.accessioned2025-04-28T22:09:40Z
dc.date.available2025-04-28T22:09:40Z
dc.date.issued2024
dc.descriptionDespite institutional efforts, reconciliation among former actors of the Colombian armed conflict has yet to be achieved, with prejudice being one direct driver of this drawback. We present an EEG-based functional connectivity study applied to four groups of former actors who completed an Implicit Association Test designed to measure prejudice toward victims or combatants. We analyzed seven measures of functional connectivity calculated in six different frequency bands and two experimental conditions. In the behavioral task, we found more prejudice toward victims from the same victims and more prejudice of civilians toward combatants. For the connectivity measures, we found differences in theta band among the victims’ and ex-paramilitaries’ groups concerning the civilians’ and ex-guerrillas’ groups, and differences in the beta2 band among the victims’ and ex-guerrillas’ groups concerning the ex-paramilitaries’ group. The results help us design more effective socio-cognitive interventions to reduce prejudice. © 2024 Universidad San Buenaventura. All rights reserved.
dc.identifier.doi10.21500/20112084.7333
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn20112084
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8842
dc.language.isoeng
dc.publisherUniversidad San Buenaventuraspa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.programIngeniería de Telecomunicacionesspa
dc.relation.citationendpage46
dc.relation.citationissue2
dc.relation.citationstartpage36
dc.relation.citationvolume17
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85208101213&doi=10.21500%2f20112084.7333&partnerID=40&md5=001701699b9b17e57aed55a308b06add
dc.relation.references(2016) Acuerdo final para la terminación del conflicto y la construcción de una paz estable y duradera, , https://www.jep.gov.co/Marco%20Normativo/Normativa_v2/01%20ACUERDOS/Texto-Nuevo-Acuerdo-Final.pdf?csf=1&e=0fpYA0, Jurisdicción Especial para la Paz
dc.relation.referencesAmodio, D. M., The neuroscience of prejudice and stereotyping (2014) Nature Reviews Neuroscience, 15 (10), pp. 670-682. , https://doi.org/10.1038/nrn3800
dc.relation.referencesAmodio, D. M., Cikara, M., The Social Neuroscience of Prejudice (2021) Annual Review of Psychology, 72, pp. 439-469. , https://doi.org/10.1146/annurev-psych-010419-050928
dc.relation.referencesBaez, S., Santamaría-García, H., Ibáñez, A., Disarming ex-combatants’ minds: Toward situated reintegration process in post-conflict colombia (2019) Frontiers in Psychology, 10 (JAN), p. 73. , https://doi.org/10.3389/fpsyg.2019.00073
dc.relation.referencesBarnes-Holmes, D., Staunton, C., Barnes-Holmes, Y., Whelan, R., Stewart, I., Commins, S., Walsh, D., Dymond, S., Interfacing relational frame theory with cognitive neuroscience: Semantic priming, the implicit associationtest,andeventrelatedpotentials[Conectando la relational frame theory con la neurociencia cognitiva: Priming semántico, el test de asociación I] (2004) International Journal of Psychology and Psychological Therapy, 4 (2), pp. 215-240. , https://www.scopus.com/inward/record.uri?eid=2-s2.0-26444477995&partnerID=40&md5=5558ef48d1d23c5d35e06c3b76038daa
dc.relation.referencesBar-Siman-Tov, Y., (2004) From conflict resolution to reconciliation, , Oxford University Press
dc.relation.referencesBastos, A. M., Schoffelen, J. M., A tutorial review of functional connectivity analysis methods and their interpretational pitfalls (2016) Frontiers in Systems Neuroscience, 9, p. 175. , https://doi.org/10.3389/fnsys.2015.00175, (JAN2016)
dc.relation.referencesBeste, C., Münchau, A., Frings, C., Towards a systematization of brain oscillatory activity in actions (2023) Communications Biology, 6 (1), p. 137. , https://doi.org/10.1038/s42003-023-04531-9
dc.relation.referencesBigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., Robbins, K. A., ThePREPpipeline:standardized preprocessing for large-scale EEG analysis (2015) Frontiers in Neuroinformatics, 9, pp. 1-19. , https://doi.org/10.3389/fninf.2015.00016, (JUNE)
dc.relation.referencesBlomsma, N., Rooy, B., Gerritse, F., Spek, R., Tewarie, P., Hillebrand, A., Otte, W. M., Dellen, E., Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity (2022) Network Neuroscience, 6 (2), pp. 301-319. , https://doi.org/10.1162/netn_a_00245
dc.relation.referencesBöttcher, A., Wilken, S., Adelhöfer, N., Raab, M., Hoff-mann, S., Beste, C., A dissociable functional relevance of theta- and beta-band activities during complex sensorimotor integration (2023) Cerebral Cortex, 33 (14), pp. 9154-9164. , https://doi.org/10.1093/cercor/bhad191
dc.relation.referencesCao, R., Hao, Y., Wang, X., Gao, Y., Shi, H., Huo, S., Wang, B., Xiang, J., EEG Functional Connectivity Underlying Emotional Valance and Arousal Using Minimum Spanning Trees (2020) Frontiers in Neuroscience, 14, p. 355. , https://doi.org/10.3389/fnins.2020.00355
dc.relation.referencesCavanagh, J. F., Frank, M. J., Frontal theta as a mechanism for cognitive control (2014) Trends in Cognitive Sciences, 18 (8), pp. 414-421. , https://doi.org/10.1016/j.tics.2014.04.012
dc.relation.references(2022) Cifras de la Comisión de la Verdad presentadas junto con el Informe Final, 1. , https://web.comisiondelaverdad.co/actualidad/noticias/principales-cifras-comisionde-la-verdad-informe-final
dc.relation.references(2005) Ley 975 de 2005, por la cual se dictan disposiciones para la reincorporación de miembros de grupos armados organizados al margen de la ley, que con-tribuyan de manera efectiva a la consecución de la paz nacional y se dictan otras disposiciones para acuerdo, , Diario Oficial, 45980
dc.relation.referencesEtz, A., Vandekerckhove, J., Introduction to Bayesian Inference for Psychology (2018) Psychonomic Bulletin and Review, 25 (1), pp. 5-34
dc.relation.referencesForbes, C. E., Cameron, K. A., Grafman, J., Barbey, A. K., Solomon, J., Ritter, W., Ruchkin, D., Identifying temporal and causal contributions of neural processes underlying the Implicit Association Test (IAT) (2012) Frontiers in Human Neuroscience, 6, p. 320. , https://doi.org/10.3389/fnhum.2012.00320, (NOVEMBER 2012)
dc.relation.referencesFornito, A., Zalesky, A., Bullmore, E., (2016) Fundamentals of brain network analysis, , Academic Press
dc.relation.referencesFriston, K. J., Functional and effective connectivity in neuroimaging: A synthesis (1994) Human Brain Mapping, 2 (1–2), pp. 56-78
dc.relation.referencesFriston, K. J., Functional and Effective Connectivity: A Review (2011) Brain Connectivity, 1 (1), pp. 13-36. , https://doi.org/10.1089/brain.2011.0008
dc.relation.referencesGedeon, C., Esseily, R., Badea, C., Examining differences in minority versus majority preschoolers on social categorization and perceived intergroup distance (2021) Journal of Community & Applied Social Psychology, 31 (1), pp. 94-106. , https://doi.org/10.1002/casp.2479
dc.relation.referencesGramfort, A., MEG and EEG data analysis with MNE-Python (2013) Frontiers in Neuroscience, 7 (7 DEC), p. 267
dc.relation.referencesGreenwald, A. G., McGhee, D. E., Schwartz, J. L. K., Measuring individual differences in implicit cognition: The implicit association test (1998) Journal of Personality and Social Psychology, 74 (6), p. 1464
dc.relation.referencesGreenwald, A. G., Nosek, B. A., Banaji, M. R., Understanding and using the implicit association test: I. an improved scoring algorithm (2003) Journal of Personality and Social Psychology, 85 (2), p. 197
dc.relation.referencesHealy, G. F., Boran, L., Smeaton, A. F., Neural patterns of the implicit association test (2015) Frontiers in Human Neuroscience, 9, p. 605. , https://doi.org/10.3389/fnhum.2015.00605, (NOV)
dc.relation.referencesJas, M., Engemann, D. A., Bekhti, Y., Raimondo, F., Gramfort, A., Autoreject: Automated artifact rejection for MEG and EEG data (2017) NeuroImage, 159, pp. 417-429. , https://doi.org/10.1016/j.neuroimage.2017.06.030
dc.relation.referencesJeffreys, H., Significance tests when several degrees of freedom arise simultaneously (1938) Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, 165 (921), pp. 161-198
dc.relation.referencesJost, J. T., Banaji, M. R., Nosek, B. A., A decade of system justification theory: Accumulated evidence of conscious and unconscious bolstering of the status quo (2004) Political Psychology, 25 (6), pp. 881-919
dc.relation.referencesKato, K., Kadokura, H., Kuroki, T., Ishikawa, A., Event-related synchronization/desynchronization in neural oscillatory changes caused by implicit biases of spatial frequency in electroencephalography (2018) IFMBE Proceedings, vol 68/2, pp. 175-178. , https://doi.org/10.1007/978-981-10-9038-7_32, I. G. S. Lhotska, L. S. L., & L. I. (Eds), 68). Springer Verlag
dc.relation.referencesKeysers, C., Gazzola, V., Wagenmakers, E. J., Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence (2020) Nature Neuroscience, 23 (7), pp. 788-799. , https://doi.org/10.1038/s41593-020-0660-4
dc.relation.referencesKruskal, J. B., On the shortest spanning subtree of a graph and the traveling salesman problem (1956) Proceedings of the American Mathematical Society, 7 (1), pp. 48-50. , https://doi.org/10.1090/s0002-9939-1956-0078686-7
dc.relation.referencesMarch, D. S., Graham, R., Exploring implicit ingroup and outgroup bias toward Hispanics (2014) Group Processes & Intergroup Relations, 18 (1), pp. 89-103. , https://doi.org/10.1177/1368430214542256
dc.relation.referencesMartin, D., (2014) IAT: Cleaning and Visualizing Implicit Association Test (IAT) Data
dc.relation.referencesNewheiser, A.-K., Dunham, Y., Merrill, A., Hoosain, L., Olson, K. R., Preference for high status predicts implicit outgroup bias among children from low-status groups (2014) Developmental Psychology, 50 (4), p. 1081
dc.relation.referencesPoli, D., Pastore, V. P., Massobrio, P., Functional connectivity in in vitro neuronal assemblies (2015) Frontiers in Neural Circuits, p. 57. , https://doi.org/10.3389/FNCIR.2015.00057, 0(OCT)
dc.relation.referencesPrim, R. C., Shortest connection networks and some generalizations (1957) The Bell System Technical Journal, 36 (6), pp. 1389-1401
dc.relation.referencesRösler, I. K., Amodio, D. M., Neural Basis of Prejudice and Prejudice Reduction (2022) Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7 (12), pp. 1200-1208. , https://doi.org/10.1016/j.bpsc.2022.10.008
dc.relation.referencesRubinov, M., Sporns, O., Complex network measures of brain connectivity: Uses and interpretations (2010) NeuroImage, 52 (3), pp. 1059-1069. , https://doi.org/10.1016/j.neuroimage.2009.10.003
dc.relation.referencesSchindler, S., Wolff, W., Cerebral correlates of automatic associations towards performance enhancing substances (2015) Frontiers in Psychology, 6 (DEC), p. 1923. , https://doi.org/10.3389/fpsyg.2015.01923
dc.relation.referencesSmit, D., Trevino, L., Mohamed, S. M. H., Enriquez-Geppert, S., Theta power and functional connectivity as neurophysiological markers of executive functions in individuals with cognitive complaints in daily life (2023) Biological Psychology, 178, p. 108503. , https://doi.org/10.1016/j.biopsycho.2023.108503
dc.relation.referencesStam, C. J., Tewarie, P., Dellen, E., Straaten, E. C. W., Hillebrand, A., Mieghem, P., The trees and the forest: characterization of complex brain networks with minimum spanning trees (2014) International Journal of Psychophysiology, 92 (3), pp. 129-138. , https://doi.org/10.1016/j.ijpsycho.2014.04.001
dc.relation.referencesTajfel, H., Turner, J. C., Austin, W. G., Worchel, S., An integrative theory of intergroup conflict (1979) Organizational Identity: A Reader, 56 (65), pp. 9780203505984-16
dc.relation.referencesTeige-Mocigemba, S., Klauer, K. C., Sherman, J. W., A practical guide to Implicit Association Task and related tasks (2016) Handbook of implicit social cognition: Measurement, theory, and applications, pp. 117-139. , B. Gawronski & B. K. Payne (Eds), –). Guilford Press
dc.relation.referencesTewarie, P., Dellen, E., Hillebrand, A., Stam, C. J., The minimum spanning tree: An unbiased method for brain network analysis (2015) NeuroImage, 104, pp. 177-188. , https://doi.org/10.1016/J.NEUROIMAGE.2014.10.015
dc.relation.referencesTrujillo, S., Trujillo, N., Lopez, J. D., Gomez, D., Valencia, S., Rendon, J., Pineda, D., Parra, M. A., Social cognitive training improves emotional processing and reduces aggressive attitudes in ex-combatants (2017) Frontiers in Psychology, 8, p. 510
dc.relation.referencesUgarriza, J. E., Villegas, C. A., Trujillo, N., López, J. D., (2019) Restaurar tejidos sociales en co-munidades durante el postconflicto a través de un enfoque de intervención biopsicosocial com-prehensivo: estrategias hacia a la construcción de paz en Colombia [Research Project], , https://pure.urosario.edu.co/es/projects/restoring-social-fabrics-in-communities-during-the-post-conflict-, Universidad del Rosario
dc.relation.referencesValencia, S., Trujillo, N., Trujillo, S., Acosta, A., Rodríguez, M., Ugarriza, J. E., López, J., Parra, M. A., Neurocognitive reorganization of emotional processing following a socio-cognitive intervention in Colombian ex-combatants (2020) Social Neuroscience, , https://doi.org/10.1080/17470919.2020.1735511
dc.relation.referencesvan Dellen, E., Sommer, I. E., Bohlken, M. M., Tewarie, P., Draaisma, L., Zalesky, A., Biase, M., Stam, C. J., Minimumspanningtreeanalysis of the human connectome (2018) Human Brain Mapping, 39 (6), pp. 2455-2471. , https://doi.org/10.1002/HBM.24014
dc.relation.referencesvan Doorn, J., Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Wagenmakers, E. J., The JASP guidelines for conducting and reporting a Bayesian analysis (2021) Psychonomic Bulletin and Review, 28 (3), pp. 813-826. , https://doi.org/10.3758/s13423-020-01798-5
dc.relation.referencesVinck, M., Oostenveld, R., Wingerden, M., Battaglia, F., Pennartz, C. M. A., An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias (2011) NeuroImage, 55 (4), pp. 1548-1565. , https://doi.org/10.1016/j.neuroimage.2011.01.055
dc.relation.referencesWagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., Selker, R., Morey, R. D., Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications (2018) Psychonomic Bulletin & Review, 25 (1), pp. 35-57. , https://doi.org/10.3758/s13423-017-1343-3
dc.relation.referencesWestfall, P. H., Johnson, W. O., Utts, J. M., A Bayesian perspective on the Bonferroni adjustment (1997) Biometrika, 84 (2), pp. 419-427. , https://doi.org/10.1093/biomet/84.2.419
dc.relation.referencesWetzels, R., Grasman, R. P. P. P., Wagenmakers, E.-J., A default bayesian hypothesis test for anova designs (2012) The American Statistician, 66 (2), pp. 104-111. , https://doi.org/10.1080/00031305.2012.695956
dc.relation.referencesYao, D., A method to standardize a reference of scalp EEG recordings to a point at infinity (2001) Physiological Measurement, 22 (4), pp. 693-711. , https://doi.org/10.1088/0967-3334/22/4/305
dc.relation.referencesZakharov, I., Tabueva, A., Adamovich, T., Kovas, Y., Malykh, S., Alpha Band Resting-State EEG Connectivity is Associated with Non-verbal Intelligence (2020) Frontiers in Human Neuroscience, 14, p. 10. , https://doi.org/10.3389/FNHUM.2020.00010/BIBTEX
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceInternational Journal of Psychological Research
dc.sourceInt. J. Psychol. Res.
dc.sourceScopus
dc.subjectBeta Rhythm
dc.subjectColombian Armed Conflict
dc.subjectEEG
dc.subjectFunctional connectivity
dc.subjectTheta Rhythm
dc.subjectBeta Rhythm
dc.subjectColombian Armed Conflict
dc.subjectEEG
dc.subjectFunctional connectivity
dc.subjectTheta Rhythm
dc.titleFunctional Connectivity Analysis of Prejudice Among Colombian Armed Conflict Former Actors [Análisis de conectividad funcional del prejuicio entre antiguos actores del conflicto armado colombiano]
dc.typeArticle
dc.type.localArtículo revisado por paresspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Archivos

Colecciones

Indexados Scopus