Interactive Model of Executive Functions to Understand Error Correction

Carlos Ramos-Galarza, Jorge Cruz-Cárdenas, Valentina Ramos

Abstract


This article reports an investigation aimed at analyzing an interactive model of executive functions, which seeks to explain the process followed by human beings to correct their mistakes. The method followed was an analysis based on structural equations, considering the maximum likelihood process around a model that considered six executive functions. We worked with a randomized sample of 771 subjects (mean age = 39.86, SD = 15.47; 50.5%, women, 50.50%). The findings suggest that error correction is a complex executive function as it is the product of the internal language capacity that regulates behavior and cognition, adequate regulation of the limbic system, adequate decision-making, and control of automatic impulses, determining how to act and verify the thoughts and behavior of the subject. The contribution of the proposed theoretical model lies in understanding the process by which human beings manage to correct errors. In addition, how this explanatory model could help neuropsychological intervention processes to work on this cognitive ability in individuals with difficulties in correcting errors.

 

Doi: 10.28991/ESJ-2022-06-02-011

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Keywords


Decision-Making; Error Correction; Executive Functions; Frontal Lobe; Inhibitory Control; Neuropsychology; Structural Equation Modeling.

References


Schreiber, J. B., Stage, F. K., King, J., Nora, A., & Barlow, E. A. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. Journal of Educational Research, 99(6), 323–338. doi:10.3200/JOER.99.6.323-338.

Altikriti, S. (2021). Toward Integrated Processual Theories of Crime: Assessing the Developmental Effects of Executive Function, Self-Control, and Decision-Making on Offending. Criminal Justice and Behavior, 48(2), 215–233. doi:10.1177/009385 4820942280.

Ardila, A. (2018). Is intelligence equivalent to executive functions? Psicothema, 30(2), 159–164. doi:10.1007/978-981-10-6887-4_6.

Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014). Inhibition and the right inferior frontal cortex: one decade on. Trends in cognitive sciences, 18(4), 177-185. doi:10.1016/j.tics.2013.12.003.

Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423. doi:10.1016/S1364-6613(00)01538-2.

Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65–94. doi:10.1037/0033-2909.121.1.65.

Barkley, R. (2014). Attention deficit hyperactivity disorder: A handbook for diagnosis and treatment. Fourth edition. Guildford Press, New York, United States.

Bechara, A., Tranel, D., & Damasio, H. (2000). Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain, 123(11), 2189–2202. doi:10.1093/brain/123.11.2189.

Bijsterbosch, J. D., Lee, K. H., Dyson-Sutton, W., Barker, A. T., & Woodruff, P. W. R. (2011). Continuous theta burst stimulation over the left pre-motor cortex affects sensorimotor timing accuracy and supraliminal error correction. Brain Research, 1410, 101–111. doi:10.1016/j.brainres.2011.06.062.

Blut, M., Wang, C., & Schoefer, K. (2016). Factors Influencing the Acceptance of Self-Service Technologies: A Meta-Analysis. Journal of Service Research, 19(4), 396–416. doi:10.1177/1094670516662352.

Byrne, B. (2016). Structural equation modeling with Amos, basic concepts, applications, and programming. Third edition. Routledge, New York, United States.

Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. doi:10.1080/10705510701301834.

Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. doi:10.1207/S15328007SEM0902_5.

Corte, S., Cavedon, V., & Milanese, C. (2015). Differential effects of main error correction versus secondary error correction on motor pattern of running. Human Movement Science, 44, 182–191. doi:10.1016/j.humov.2015.09.002.

Damasio, A. (1994). Descates´ Error. Emotion, Reason and the Human Brain. G.P. Putnam, New York, United States.

Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64(1), 135–168. doi:10.1146/annurev-psych-113011-143750.

Alí Diez, Í., & Marco-Pallarés, J. (2021). Neurophysiological correlates of purchase decision-making. Biological Psychology, 161, 108060. doi:10.1016/j.biopsycho.2021.108060.

Domic-Siede, M., Irani, M., Valdés, J., Perrone-Bertolotti, M., & Ossandón, T. (2021). Theta activity from frontopolar cortex, mid-cingulate cortex and anterior cingulate cortex shows different roles in cognitive planning performance. NeuroImage, 226(117), 1–19,. doi:10.1016/j.neuroimage.2020.117557.

Gade, M., Paelecke, M., & Rey-Mermet, A. (2020). Simon says-on the influence of stimulus arrangement, stimulus material and inner speech habits on the simon effect. Journal of Experimental Psychology: Learning Memory and Cognition, 46(7), 1349–1363. doi:10.1037/xlm0000789.

Gardner, S. J., & Wolfe, P. S. (2015). Teaching students with developmental disabilities daily living skills using point-of-view modeling plus video prompting with error correction. Focus on Autism and Other Developmental Disabilities, 30(4), 195–207. doi:10.1177/1088357614547810.

González-García, C., Formica, S., Wisniewski, D., & Brass, M. (2021). Frontoparietal action-oriented codes support novel instruction implementation. NeuroImage, 226(117608), 1–12,. doi:10.1016/j.neuroimage.2020.117608.

Horwood, S., & Anglim, J. (2021). Emotion Regulation Difficulties, Personality, and Problematic Smartphone Use. Cyberpsychology, Behavior, and Social Networking, 24(4), 275–281. doi:10.1089/cyber.2020.0328.

Kamza, A., & Putko, A. (2021). Attachment security, verbal ability, and inhibitory control in middle childhood. BMC Psychology, 9(1), 1–16,. doi:10.1186/s40359-021-00524-7.

Kato, M., & Konishi, Y. (2006). Auditory dominance in the error correction process: A synchronized tapping study. Brain Research, 1084(1), 115–122. doi:10.1016/j.brainres.2006.02.019.

Kostrubiec, V., Huys, R., & Zanone, P. G. (2018). Joint dyadic action: Error correction by two persons works better than by one alone. Human Movement Science, 61, 1–18. doi:10.1016/j.humov.2018.06.014.

Lezak, M. (1995). Neuropsychological Assessment, 3rd edition. Oxford University Press, Oxford, United Kingdom.

Liao, Y. C., Guo, N. W., Su, B. Y., Chen, S. J., Tsai, H. F., & Lee, K. Y. (2021). Frontal Beta Activity in the Meta-Intention of Children With Attention Deficit Hyperactivity Disorder. Clinical EEG and Neuroscience, 52(2), 136–143. doi:10.1177/1550059420933142.

Lloyd, K., Melanson, I. J., Moorehouse, A., & Klatt, K. P. (2021). Investigating the effects of error-correction procedures across different skill sets for children with autism. Behavioral Interventions, 36(2), 407–421. doi:10.1002/bin.1775.

Luria, A.R. (1973). The Working Brain. An Introduction to Neuropsychology. Penguin Books, London, United Kingdom.

Luria, A.R. (1980). Higher Cortical Functions in Man. Springer, Massachusetts, United States. doi:10.1007/978-1-4615-8579-4.

Luria, A. R. (1982). Language and Cognition. Wiley-Interscience, New York, United States.

Norman D.A., Shallice T. (1986). Attention to Action. In: Davidson R.J., Schwartz G.E., Shapiro D. (eds). Consciousness and Self-Regulation. Springer, Massachusetts, United States. doi:10.1007/978-1-4757-0629-1_1.

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The Unity and Diversity of Executive Functions and Their Contributions to Complex “Frontal Lobe” Tasks: A Latent Variable Analysis. Cognitive Psychology, 41(1), 49–100. doi:10.1006/cogp.1999.0734.

Moisan, A., Lazzoun, Y., & Naudin, D. (2020). Importance of cognitive executive functions in anesthesia/resuscitation decision making. Oxymag, 33(172), 13-19. doi: 10.1016/j.oxy.2020.05.002.

Mole, J., Dore, C., Xu, T., Shallice, T., & Cipolotti, L. (2021). Is the Weigl Colour-Form Sorting Test Specific to Frontal Lobe Damage? Journal of the International Neuropsychological Society, 27(2), 204–210. doi:10.1017/S1355617720000739.

National Institute of Statistics and Censuses of Ecuador (NISC). (2022). Census Results in Ecuador. Available online: http://www.ecuadorencifras.gob.ec/censo-de-poblacion-y-vivienda// (accessed on December 2021).

National Institute of Statistics and Censuses of Ecuador. (NISC). (2019). National survey on household income and expenditure 2017-2018. Available online: https://www.evaluacion.gob.ec/wp-content/uploads/downloads/2019/02/CIE_Resultados Educativos18_20190109.pdf (accessed on December 2021).

Pashler, H., Cepeda, N. J., Wixted, J. T., & Rohrer, D. (2005). When does feedback facilitate learning of words? Journal of Experimental Psychology: Learning Memory and Cognition, 31(1), 3–8. doi:10.1037/0278-7393.31.1.3.

Pinet, S., & Nozari, N. (2021). The role of visual feedback in detecting and correcting typing errors: A signal detection approach. Journal of Memory and Language, 117(104193), 1–45,. doi:10.1016/j.jml.2020.104193.

Ramos-Galarza, C., Cruz-Cárdenas, J., Bolaños-Pasquel, M., & Acosta-Rodas, P. (2021). Factorial Structure of the EOCL-1 Scale to Assess Executive Functions. Frontiers in Psychology, 12(585145), 1–14,. doi:10.3389/fpsyg.2021.585145.

Roche, J., Câmara-Costa, H., Roulin, J. L., Chevignard, M., Frappaz, D., Guichardet, K., Benkhaled, O., Kerrouche, B., Prodhomme, J., Kieffer-Renaux, V., Le Gall, D., Fournet, N., & Roy, A. (2020). Assessment of everyday executive functioning using the BRIEF in children and adolescents treated for brain tumor. Brain Injury, 34(4), 583–590. doi:10.1080/02699052.2020.1725982.

Zelazo, P. D., & Carlson, S. M. (2012). Hot and Cool Executive Function in Childhood and Adolescence: Development and Plasticity. Child Development Perspectives, 6(4), 354–360. doi:10.1111/j.1750-8606.2012.00246.x.

Sanders, S., Rollins, L. H., Mason, L. H., Shaw, A., & Jolivette, K. (2021). Intensification and Individualization of Self-Regulation Components within Self-Regulated Strategy Development. Intervention in School and Clinic, 56(3), 131–140. doi:10.1177/1053451220941414.

Zink, N., Lenartowicz, A., & Markett, S. (2021). A new era for executive function research: On the transition from centralized to distributed executive functioning. Neuroscience and Biobehavioral Reviews, 124, 235–244. doi:10.1016/j.neubiorev. 2021.02.011.

Schreiber, J. B., Stage, F. K., King, J., Nora, A., & Barlow, E. A. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. Journal of Educational Research, 99(6), 323–338. doi:10.3200/JOER.99.6.323-338.

Seaman-Tullis, R. L., Cannella-Malone, H. I., & Brock, M. E. (2019). Training a Paraprofessional to Implement Video Prompting With Error Correction to Teach a Vocational Skill. Focus on Autism and Other Developmental Disabilities, 34(2), 107–117. doi:10.1177/1088357618794914.

Shenhav, A., Cohen, J. D., & Botvinick, M. M. (2016). Dorsal anterior cingulate cortex and the value of control. Nature Neuroscience, 19(10), 1286–1291. doi:10.1038/nn.4384.

Wilson, B. A., Winegardner, J., Van Heugten, C. M., & Ownsworth, T. (2017). Neuropsychological Rehabilitation: the International Handbook. 1st Edition. Taylor and Francis AS. doi: 10.4324/9781315629537.

Ullsperger, M., & von Cramon, D. Y. (2006). How does error correction differ from error signaling? An event-related potential study. Brain Research, 1105(1), 102–109. doi:10.1016/j.brainres.2006.01.007.

Filippetti, V. A., & De Minzi, M. C. R. (2012). Análisis de la relación entre reflexividad-impulsividad y funciones ejecutivas en niños escolarizados mediante un modelo de ecuaciones estructurales. International Journal of Psychology and Psychological Therapy, 12(3), 427–440. https://ri.conicet.gov.ar/handle/11336/19114,

Tirapu-Ustárroz, J., Bausela-Herreras, E., & Cordero-Andrés, P. (2018). Model of executive functions based on factorial analyses in child and school populations: A meta-analysis. Revista de Neurologia, 67(6), 215–225. doi:10.33588/rn.6706.2017450.

Li, J. J., Chung, T. A., Vanyukov, M. M., Wood, D. S., Ferrell, R., & Clark, D. B. (2015). A hierarchical factor model of executive functions in adolescents: Evidence of gene-environment interplay. Journal of the International Neuropsychological Society, 21(1), 62–73. doi:10.1017/S1355617714001039.

López, M., & Richaud, M. (2021). Alcohol consumption, executive functions and violence: comparison of explanatory models. In XVIII National Meeting and VII International Meeting of the AACC, Virtual, September 22- 24. (In Spanish).

Sitzman, D. M., Rhodes, M. G., Tauber, S. K., & Liceralde, V. R. T. (2015). The role of prior knowledge in error correction for younger and older adults. Aging, Neuropsychology, and Cognition, 22(4), 502–516. doi:10.1080/13825585.2014.993302.

Ramos-Galarza, C., Acosta-Rodas, P., Bolaños-Pasquel, M., & Lepe-Martínez, N. (2020). The role of executive functions in academic performance and behaviour of university students. Journal of Applied Research in Higher Education, 12(3), 444–455. doi:10.1108/JARHE-10-2018-0221.

Steinbeis, N., Haushofer, J., Fehr, E., & Singer, T. (2016). Development of Behavioral Control and Associated vmPFC-DLPFC Connectivity Explains Children’s Increased Resistance to Temptation in Intertemporal Choice. Cerebral Cortex, 26(1), 32–42. doi:10.1093/cercor/bhu167.

Yuan, C., & Zhu, J. (2020). An evaluation of prompting procedures in error correction for children with autism. Behavioral Interventions, 35(4), 581–594. doi:10.1002/bin.1733.

Messina, I., Grecucci, A., & Viviani, R. (2021). Neurobiological models of emotion regulation: a meta-analysis of neuroimaging studies of acceptance as an emotion regulation strategy. Social Cognitive and Affective Neuroscience, 16(3), 257–267. doi:10.1093/scan/nsab007.

Ramos-Galarza, C., Benavides-Endara, P., Bolaños-Pasquel, M., Fonseca-Bautista, S., & Ramos, D. (2019). Scale of clinical observation to evaluate the third functional unit of the Luria theory: EOCL-1. Revista Ecuatoriana de Neurologia, 28(2), 83–91.


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DOI: 10.28991/ESJ-2022-06-02-011

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