dc.creatorBalseca-Bolaños, David
dc.creatorLeón-Tapia, Ana
dc.creatorGamboa-Proaño, Marco
dc.creatorPérez-Lalama, Karla
dc.date.accessioned2022-06-22 15:43:32
dc.date.accessioned2023-01-23T15:44:49Z
dc.date.accessioned2023-06-05T16:26:04Z
dc.date.available2022-06-22 15:43:32
dc.date.available2023-01-23T15:44:49Z
dc.date.available2023-06-05T16:26:04Z
dc.date.created2022-06-22 15:43:32
dc.date.created2023-01-23T15:44:49Z
dc.date.issued2022-06-22
dc.identifier10.14718/ACP.2022.25.2.12
dc.identifier1909-9711
dc.identifier0123-9155
dc.identifierhttps://hdl.handle.net/10983/28569
dc.identifierhttps://doi.org/10.14718/ACP.2022.25.2.12
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6647463
dc.description.abstractEl objetivo del presente estudio fue observar el efecto de las variables nivel de estudios y adultez joven en la tarea de redes atencionales. Para ello, participaron 58 personas de población general separados en grupos de estudiantes y no estudiantes, y en adultez emergente y temprana, con los cuales se llevó a cabo un diseño experimental, utilizando como paradigma principal la tarea de redes atencionales. Los resultados mostraron que los grupos de estudiantes y no estudiantes no difirieron en rendimiento en ninguna de las condiciones de las redes, pero que, en cuanto a la variable adultez joven, hubo un efecto de interacción entre el tipo de adultez y la red de orientación, siendo el grupo adulto emergente más rápido que el grupo adulto temprano. Además, un análisis correlacional demostró que la edad correlacionó moderada y positivamente con el tiempo de reacción de todas las condiciones de la tarea atencional. Al final se discute la importancia del nivel de educación superior y la adultez joven sobre el funcionamiento de las redes atencionales en el campo de la psicología diferencial, y se mencionan las implicaciones de estos resultados en el ámbito clínico.
dc.description.abstractThe aim of this study was to observe the effect of the variables educational level and young adulthood on the attentional networks task. Fifty-eight people from the general population were divided into groups of students and non-students, and in emerging and early adulthood, with whom an experimental design was carried out, using the Attentional Networks task as the main paradigm. The results showed that the student and non-student groups did not differ in performance in any of the network conditions, but regarding the young adulthood variable, there was an interaction effect between the type of adulthood and the orienting network, with the emerging adult group being faster than the early adult group. In addition a correlational analysis showed that age was moderately and positively correlated with reaction time for all attentional task conditions. In the end, the importance of higher education level and young adulthood on the functioning of attentional networks in the field of differential psychology is discussed, and the implications of these results in the clinical setting are mentioned.
dc.languagespa
dc.publisherUniversidad Católica de Colombia
dc.relationhttps://actacolombianapsicologia.ucatolica.edu.co/article/download/4344/4294
dc.relationhttps://actacolombianapsicologia.ucatolica.edu.co/article/download/4344/4189
dc.relationhttps://actacolombianapsicologia.ucatolica.edu.co/article/download/4344/4267
dc.relationNúm. 2 , Año 2022 : Acta Colombiana de Psicología
dc.relation195
dc.relation2
dc.relation181
dc.relation25
dc.relationActa Colombiana de Psicología
dc.relationArnett, J. J., Žukauskiene, R., & Sugimura, K. (2014). The new life stage of emerging adulthood at ages 18- 29 years: Implications for mental health. The Lancet Psychiatry, 1(7), 569-576. https://doi.org/10.1016/ S2215-0366(14)00080-7 Balluerka, N., & Vergara, A. I. (2002). Diseños de Investigación Experimental en Psicología. Prentice-Hall. Blakemore, S. J., & Choudhury, S. (2006). Development of the adolescent brain: Implications for executive function and social cognition. Journal of Child Psychology and Psychiatry and Allied Disciplines, 47(3-4), 296-312. https://doi.org/10.1111/j.1469-7610.2006.01611.x Boen, R., Ferschmann, L., Vijayakumar, N., Overbye, K., Fjell, A., Espeseth, T., & Tamnes, C. (2021). Development of attention networks from childhood to young adulthood: A study of performance, intraindividual variability and cortical thickness. Cortex, 138, 138- 151. https://doi.org/10.1016/j.cortex.2021.01.018 Bonnet, M. C., Dilharreguy, B., Allard, M., Deloire, M. S. A., Petry, K. G., & Brochet, B. (2009). Differential cerebellar and cortical involvement according to various attentional load: Role of educational level. Human Brain Mapping, 30(4), 1133-1143. https://doi.org/10.1002/ hbm.20575 Callejas, A., Lupiañez, J., Funes, M. J., & Tudela, P. (2005). Modulations among the alerting, orienting and executive control networks. Experimental Brain Research, 167(1), 27-37. https://doi.org/10.1007/s00221-005-2365-z Chica, A. B., Martín-Arévalo, E., Botta, F., & Lupiáñez, J. (2014). The Spatial Orienting paradigm: How to design and interpret spatial attention experiments. Neuroscience and Biobehavioral Reviews, 40, 35-51. https://doi. org/10.1016/j.neubiorev.2014.01.002 Cromer, J. A., Schembri, A. J., Harel, B. T., & Maruff, P. (2015). The nature and rate of cognitive maturation from late childhood to adulthood. Frontiers in Psychology, 6, Article 704. https://doi.org/10.3389/fpsyg.2015.00704 Dause, T., & Kirby, E. (2019). Aging gracefully: Social engagement joins exercise and enrichment as a key lifestyle factor in resistance to age-related cognitive decline. Neural Regeneration Research, 14(1), 39-42. https://doi. org/10.4103/1673-5374.243698 De Souza Almeida, R., Faria-Jr, A., & Klein, R. (2021). On the origins and evolution of the Attention Network Tests. Neuroscience & Biobehavioral Reviews, 126, 560-572. https://doi.org/10.1016/j.neubiorev.2021.02.028 Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception and Psychophysycs, 16(1), 143- 149. https://doi.org/10.3989/arbor.2000.i650.965 Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009). Functional brain networks develop from a “local to distributed” organization. PLoS Computational Biology, 5(5), Article e1000381. https:// doi.org/10.1371/journal.pcbi.1000381 Fan, J. (2014). An information theory account of cognitive control. Frontiers in Human Neuroscience, 8, Article 680. https://doi.org/10.3389/fnhum.2014.00680 Fan, J., & Posner, M. (2004). Human attentional networks. Psychiatrische Praxis, Supplement, 31(2). 210-214 https://doi.org/10.1055/s-2004-828484 Fan, J., Gu, X., Guise, K. G., Liu, X., Fossella, J., Wang, H., & Posner, M. I. (2009). Testing the behavioral interaction and integration of attentional networks. Brain and Cognition, 70(2), 209-220. https://doi.org/10.1016/j. bandc.2009.02.002 Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191. https://doi. org/10.3758/BF03193146 Federico, F. (2020). Natural Environment and Social Relationship in the Development of Attentional Network. Frontiers in Psychology, 11, Article 1345. https://doi. org/10.3389/fpsyg.2020.01345 Fernandez-Duque, D., Baird, J. A., & Posner, M. I. (2000). Executive attention and metacognitive regulation. Consciousness and Cognition, 9(2), 288-307. https://doi. org/10.1006/ccog.2000.0447 Funes, M. J., & Lupiáñez, J. (2003). La teoría atencional de Posner: una tarea para medir las funciones atencionales de orientación, alerta y control cognitivo y la interacción entre ellas. Psicothema, 15(2), 260-266. https://www. psicothema.com/pii?pii=1055 Giovannoli, J., Martella, D., & Casagrande, M. (2021). Assessing the three attentional networks and vigilance in the adolescence stages. Brain Sciences, 11(4), 503. https://doi.org/10.3390/brainsci11040503 Guerra-Carrillo, B., Katovich, K., & Bunge, S. A. (2017). Does higher education hone cognitive functioning and learning efficacy? Findings from a large and diverse sample. PLoS ONE, 12(8), Article e0182276. https://doi. org/10.1371/journal.pone.0182276 Hochberg, Z., & Konner, M. (2020). Emerging Adulthood, a Pre-adult Life-History Stage. Frontiers in Endocrinology, 10, Article 918. https://doi.org/10.3389/ fendo.2019.00918 Jennings, J. M., Dagenbach, D., Engle, C. M., & Funke, L. J. (2007). Age-related changes and the attention network task : an examination of alerting , orienting , and executive function. Aging, Neuropsychology, and Cognition: A Journal on Normal and Dysfunctional Development, 14(4), 353-369. https://doi. org/10.1080/13825580600788837 Kramer, A. F., Bherer, L., Colcombe, S. J., Dong, W., & Greenough, W. T. (2004). Environmental influences on cognitive and brain plasticity during aging. Journal of Gerontology: Medical Science, 59(9), 940-957. https:// doi.org/10.1093/gerona/59.9.M940 Lopez-Larson, M. P., King, J. B., Terry, J., McGlade, E. C., & Yurgelun-Todd, D. (2012). Reduced insular volume in attention deficit hyperactivity disorder. Psychiatry Research: Neuroimaging, 204(1), 32-39. https://doi. org/10.1016/j.pscychresns.2012.09.009 Luna, F. G., Barttfeld, P., Martín-Arévalo, E., & Lupiáñez, J. (2022). Cognitive load mitigates the executive but not the arousal vigilance decrement. Consciousness and Cognition, 98, Article 103263. https://doi.org/10.1016/j. concog.2021.103263 Luna, F. G., Lupiáñez, J., & Martín-Arévalo, E. (2021). Microstructural white matter connectivity underlying the attentional networks system. Behavioural Brain Research, 401, Article 113079. https://doi.org/10.1016/j. bbr.2020.113079 Luna, F. G., Marino, J., Roca, J., & Lupiáñez, J. (2018). Executive and arousal vigilance decrement in the context of the attentional networks: The ANTI-Vea task. Journal of Neuroscience Methods, 306, 77-87. https:// doi.org/10.1016/j.jneumeth.2018.05.011 Luna, F. G., Roca, J., Martín-Arévalo, E., & Lupiáñez, J. (2021). Measuring attention and vigilance in the laboratory vs. online: The split-half reliability of the ANTIVea. Behavior Research Methods, 53(3), 1124-1147. https://doi.org/10.3758/s13428-020-01483-4 Lundwall, R. A., Woodruff, J., & Tolboe, S. P. (2018). RT slowing to valid cues on a reflexive attention task in children and young adults. Frontiers in Psychology, 9, Article 1324. https://doi.org/10.3389/fpsyg.2018.01324 Mackie, M.-A., Van Dam, N., & Fan, J. (2013). Cognitive control and attentional functions. Brain and Cognition, 82(3), 301-312. https://doi.org/10.1016/j. bandc.2013.05.004 Manzini, J. L. (2000). Declaración De Helsinki: Principios Éticos Para La Investigación Médica Sobre Sujetos Humanos. Acta Bioethica, 6(2), 321-334. https://doi. org/10.4067/s1726-569x2000000200010 Markett, S., Nothdurfter, D., Focsa, A., Reuter, M., & Jawinski, P. (2022). Attention networks and the intrinsic network structure of the human brain. Human Brain Mapping, 43(4), 1431-1448. https://doi.org/10.1002/hbm.25734 Mashhoon, Y., Czerkawski, C., Crowley, D. J., CohenGilber, J., Sneider, J. T., & Silveri, M. M. (2014). Binge alcohol consumption in emerging adults: anterior cingulate cortical “thinness” is associated with alcohol use patterns. Alcoholism Clinical & Experimental Research, 38(7), 1955-1964. https://doi.org/10.1111/acer.12475 McAvinue, L. P., Habekost, T., Johnson, K. A., Kyllingsbæk, S., Vangkilde, S., Bundesen, C., & Robertson, I. H. (2012). Sustained attention, attentional selectivity, and attentional capacity across the lifespan. Attention, Perception, and Psychophysics, 74(8), 1570-1582. https://doi.org/10.3758/s13414-012-0352-6 McCormick, C. R. (2022). Lifestyle factors and their impact on the networks of attention. Applied Cognitive Psychology, 36(1), 135-153. https://doi.org/10.1002/ acp.3904 Medina, D., & Barraza, P. (2019). Efficiency of attentional networks in musicians and non-musicians. Heliyon, 5(3), Article e01315. https://doi.org/10.1016/j.heliyon.2019. e01315 Mengotti, P., Käsbauer, A. S., Fink, G. R., & Vossel, S. (2020). Lateralization, functional specialization, and dysfunction of attentional networks. Cortex, 132, 206- 222. https://doi.org/10.1016/j.cortex.2020.08.022 Milgram, N. W., Siwak-Tapp, C. T., Araujo, J., & Head, E. (2006). Neuroprotective effects of cognitive enrichment. Ageing Research Reviews, 5(3), 354-369. https://doi. org/10.1016/j.arr.2006.04.004 Mills, K. L., & Tamnes, C. K. (2020). Longitudinal structural and functional brain development in childhood and adolescence. En K. Cohen Kadosh (Ed.), The Oxford Handbook of Developmental Cognitive Neuroscience (pp. 17-25). Oxford University Press. https://doi. org/10.1093/oxfordhb/9780198827474.013.4 Ministerio de Salud Pública del Ecuador. (2015). Reglamento de información confidencial en el Sistema Nacional de Salud. Acuerdo Ministerial 5216, 1-8. http:// instituciones.msp.gob.ec/cz6/images/lotaip/Enero2015/ Acuerdo%20Ministerial%205216.pdf Mitchell, L. L., & Syed, M. (2015). Does College Matter for Emerging Adulthood? Comparing Developmental Trajectories of Educational Groups. Journal of Youth and Adolescence, 44(11), 2012-2027. https://doi. org/10.1007/s10964-015-0330-0 Mullane, J. C., Lawrence, M. A., Corkum, P. V., Klein, R. M., & McLaughlin, E. N. (2016). The development of and interaction among alerting, orienting, and executive attention in children. Child Neuropsychology, 22(2), 155-176. https://doi.org/10.1080/09297049.2014.981252 Neta, M., Nelson, S. M., & Petersen, S. E. (2017). Dorsal anterior cingulate, medial superior frontal cortex, and anterior insula show performance reporting-related late task control signals. Cerebral Cortex, 27(3), 2154-2165. https://doi.org/10.1093/cercor/bhw053 O’Connell, M. A., & Basak, C. (2018). Effects of task complexity and age-differences on task-related functional connectivity of attentional networks. Neuropsychologia, 114, 50-64. https://doi.org/10.1016/j. neuropsychologia.2018.04.013 Onwuegbuzie, A. J., & Collins, K. M. T. (2007). A Typology of Mixed Methods Sampling Designs in Social Science Research. The Qualitative Report, 12(2), 281-316. https://doi.org/10.46743/2160-3715/2007.1638 Posner, M. I. (1980). Orienting of attention. Journal of Experimental Psychology, 32(1), 3-25. https://doi. org/10.1080/00335558008248231 Posner, M. I. (2012). Imaging attention networks. Neuroimage, 61(2), 450-456. https://doi.org/10.1016/j. neuroimage.2011.12.040 Posner, M. I. (2016). Orienting of attention: then and now. Quarterly Journal of Experimental Psychology, 69(10), 1864-1875. https://doi.org/10.1080/17470218.2014.937446 Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13(1), 25-42. https://doi.org/10.1146/annurev. ne.13.030190.000325 Posner, M. I., & Rothbart, M. K. (2004). Hebb’s neural networks support the integration of psychological science. Canadian Psychology, 45(4), 265-278. https://doi. org/10.1037/h0086997 Posner, M. I., & Rothbart, M. K. (2005). Influencing brain networks: Implications for education. Trends in Cognitive Sciences, 9(3), 99-103. https://doi.org/10.1016/j. tics.2005.01.007 Posner, M. I., & Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology, 58, 1-23. https://doi.org/10.1146/annurev.psych.58.110405.085516 Posner, M. I., & Rothbart, M. K. (2014). Attention to learning of school subjects. Trends in Neuroscience and Education, 3(1), 14-17. https://doi.org/10.1016/j. tine.2014.02.003 Posner, M. I., Rothbart, M. K., & Tang, Y. Y. (2015). Enhancing attention through training. Current Opinion in Behavioral Sciences, 4, 1-5. https://doi.org/10.1016/j. cobeha.2014.12.008 Posner, M. I, Rothbart, M. K., & Voelker, P. (2017). Developing Brain Networks of Attention. Current Opinion in Pediatrics, 28(6), 720-724. https://doi. org/10.1097/MOP.0000000000000413 Reifman, A., Arnett, J. J., & Colwell, M. J. (2007). Emerging Adulthood: Theory, Assessment and Application. Journal of Youth Development, 2(1), 37-48. https://doi. org/10.5195/jyd.2007.359 Ren, Y., Xu, Z., Zhang, Y., Li, J., Wu, J., & Yang, W. (2019). The Effect of Aging on Attentional Networks. 2019 IEEE International Conference on Mechatronics and Automation (ICMA), 543-548. https://doi.org/10.1109/ ICMA.2019.8816473 Riley, K. P., Snowdon, D. A., & Markesbery, W. R. (2002). Alzheimer’s neurofibrillary pathology and the spectrum of cognitive function: Findings from the Nun Study. Annals of Neurology, 51(5), 567-577. https://doi. org/10.1002/ana.10161 Rodrigues, L. R., & Zimmer, M. C. (2016). Inhibitory and attentional control: The interaction between “professional activity” and bilingualism. Psicologia:Reflexao eCritica, 29(1), 36. https://doi.org/10.1186/s41155-016-0034-8 Rothbart, M. K., & Posner, M. I. (2015). The developing brain in a multitasking world. Developmental Review, 1(35), 42-63. https://doi.org/10.1016/j.dr.2014.12.006 Rueda, M. R., Pozuelos, J. P., & Cómbita, L. M. (2015). Cognitive neuroscience of attention. From brain mechanisms to individual differences in efficiency. AIMS Neuroscience, 2(4), 183-202. https://doi.org/10.3934/ Neuroscience.2015.4.183 Schoentgen, B., Gagliardi, G., & Défontaines, B. (2020). Environmental and Cognitive Enrichment in Childhood as Protective Factors in the Adult and Aging Brain. Frontiers in Psychology, 11, Article 1814. https://doi. org/10.3389/fpsyg.2020.01814 Sowell, E. R., Delis, D., Stiles, J., & Jernigan, T. L. (2001). Improved memory functioning and frontal lobe maturation between childhood and adolescence: A structural MRI study. Journal of the International Neuropsychological Society, 7(3), 312-322. https://doi. org/10.1017/S135561770173305X Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999). In vivo evidence for post-adolescent brain maturation in frontal and striatal regions. Nature Neuroscience, 2(10), 859-861. https://doi. org/10.1038/13154 Spagna, A., Mackie, M. A., & Fan, J. (2015). Supramodal executive control of attention. Frontiers in Psychology, 6, Article 65. https://doi.org/10.3389/fpsyg.2015.00065 Spagna, A., Martella, D., Fuentes, L. J., Marotta, A., & Casagrande, M. (2016). Hemispheric modulations of the attentional networks. Brain and Cognition, 108, 73-80. https://doi.org/10.1016/j.bandc.2016.07.002 Sturm, W., Schmenk, B., Fimm, B., Specht, K., Weis, S., Thron, A., & Willmes, K. (2006). Spatial attention: more than intrinsic alerting? Experimental Brain Research, 171(1), 16-25. https://doi.org/10.1007/ s00221-005-0253-1 Thillay, A., Roux, S., Gissot, V., Carteau-Martin, I., Knight, R. T., Bonnet-Brilhault, F., & Bidet-Caulet, A. (2015). Sustained attention and prediction: Distinct brain maturation trajectories during adolescence. Frontiers in Human Neuroscience, 9, Article 519. https://doi.org/10.3389/ fnhum.2015.00519 Treviño, M., Zhu, X., Lu, Y. Y., Scheuer, L. S., Passell, E., Huang, G. C., Germine, L. T., & Horowitz, T. S. (2021). How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests. Cognitive Research: Principles and Implications, 6, Article 51. https://doi.org/10.1186/s41235-021-00313-1 Tun, P. A., & Lachman, M. E. (2008). Age differences in reaction time and attention in a national telephone sample of adults: education, sex, and task complexity matter. Developmental Psychology, 44(5), 1421-1429. https:// doi.org/10.1037/a0012845 Van der Elst, W., Van Boxtel, M. P. J., Van Breukelen, G. J. P., & Jolles, J. (2006). The stroop color-word test: Influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment, 13(1), 62- 79. https://doi.org/10.1177/1073191105283427 Wang, H., & Fan, J. (2007). Human attentional networks: a connectionist model. Journal of Cognitive Neuroscience, 19(10), 1678-1689. https://doi.org/10.1162/ jocn.2007.19.10.1678 Wang, P., Fuentes, L. J., Vivas, A. B., & Chen, Q. (2013). Behavioral and neural interaction between spatial inhibition of return and the simon effect. Frontiers in Human Neuroscience, 7, Article 572. https://doi.org/10.3389/ fnhum.2013.00572 Waszak, F., Li, S. C., & Hommel, B. (2010). The development of attentional networks: cross-sectional findings from a life span sample. Developmental Psychology, 46(2), 337-349. https://doi.org/10.1037/a0018541 Weible, A. P. (2013). Remembering to attend: The anterior cingulate cortex and remote memory. Behavioural Brain Research, 245, 63-75. https://doi.org/10.1016/j. bbr.2013.02.010 Westlye, L. T., Grydeland, H., Walhovd, K. B., & Fjell, A. M. (2011). Associations between regional cortical thickness and attentional networks as measured by the attention network test. Cerebral Cortex, 21(2), 345-356. https://doi.org/10.1093/cercor/bhq101 Williams, R. S., Biel, A. L., Wegier, P., Lapp, L. K., Dyson, B. J., & Spaniol, J. (2016). Age differences in the attention network test: evidence from behavior and event-related potentials. Brain and Cognition, 102, 65-79. https://doi. org/10.1016/j.bandc.2015.12.007 Xuan, B., Mackie, M.-A., Spagna, A., Wu, T., Tian, Y., Hof, P. R., & Fan, J. (2016). The activation of interactive attentional networks. Neuroimage, 129(1), 308-319. https://doi.org/10.1016/j.neuroimage.2016.01.017 Zhou, S. S., Fan, J., Lee, T. M. C., Wang, C. Q., & Wang, K. (2011). Age-related differences in attentional networks of alerting and executive control in young, middle-aged, and older Chinese adults. Brain and Cognition, 75(2), 205-210. https://doi.org/10.1016/j.bandc.2010.12.003
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dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rightsEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0
dc.rightsActa Colombiana de Psicología - 2022
dc.sourcehttps://actacolombianapsicologia.ucatolica.edu.co/article/view/4344
dc.subjectattentional networks
dc.subjectage-related difference
dc.subjecteducation
dc.subjectredes atencionales
dc.subjectdiferencia relacionada con la edad
dc.subjecteducación
dc.titleFuncionamiento de las redes atencionales en la adultez joven y el nivel de educación
dc.typeArtículo de revista


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