Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Los autores que publiquen en esta Revista aceptan las siguientes condiciones:
Acta Colombiana de Psicología se guía por las normas internacionales sobre propiedad intelectual y derechos de autor, y de manera particular el artículo 58 de la Constitución Política de Colombia, la Ley 23 de 1982 y el Acuerdo 172 del 30 de Septiembre de 2010 (Reglamento de propiedad intelectual de la Universidad Católica de Colombia)
Los autores conservan los derechos de autor y ceden a la Revista el derecho de la primera publicación, con el trabajo registrado con la Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional, que permite a terceros utilizar lo publicado siempre que mencionen la autoría del trabajo y a la primera publicación en esta Revista.
Resumen
El 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.
Palabras clave:
Citas
Arnett, 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