Abstract
Neurocognitive Learning Therapy (NCLT) is a therapeutic system which targets disorders of mental health. It is designed to work with and make use of our understanding of how the human brain processes and learns information. It is unique in this regard. Some mental health therapies were developed in response to specific etiological hypotheses (psychoanalysis) or operant learning principles (applied behavior analysis). Others had no etiological basis at all but relied on healing concepts such as self-actualization. NCLT is based on information processing theory and mathematically derived brain network models organized along small word hub principles. It incorporates 16 principles that reflect what is known from both learning theory and neuropsychological research. Whatever you call the result of the particular learning that occurs in therapy, self-actualization, behavioral change, spiritual growth, destruction of maladaptive gestalts, or behavior change, the result of therapy should be that the individual engages in more adaptive behavior at the end than when they began. This inevitably means that the individual has learned new ways of behaving.
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References
Aarts, H., & Dijksterhuis, A. (2000). Habits as knowledge structures: Automaticity in goal-directed behavior. Journal of Personality and Social Psychology, 78(1), 53–63. doi:10.1037/0022-3514.78.1.53.
Ablon, S., & Jones, E. (2002). Validity of controlled clinical trials of psychotherapy: Findings from the NIMH treatment of depression collaborative research program. American Journal of Psychiatry, 159(5), 775–783.
Bargh, J., & Chartrand, T. (1999). The unbearable automaticity of being. American Psychologist, 54(7), 462–479. doi:10.1037/0003-066X.54.7.462.
Bargh, J. A. (1992). The ecology of automaticity: Toward establishing the conditions needed to produce automatic processing effects. American Journal of Psychology, 105, 181–199.
Bays, P., & Husain, M. (2008). Dynamic shifts of limited working memory resources in human vision. Science, 321(5890), 851–854. doi:10.1126/science.1158023.
Bielock, S., Jellison, W., Rydell, R., McConnell, A., & Carr, T. (2006). On the causal mechanisms of stereotype threat: Can skills that don’t rely heavily on working memory still be threatened? Personality and Social Psychology Bulletin, 32(8), 1059–1071. doi:10.1177/0146167206288489.
Brewin, C., & Beaton, A. (2002). Thought suppression, intelligence, and working memory capacity. Behavior Research and Therapy, 40(8), 923–930. doi:10.1016/S0005-7967(01)00127-9.
Chinn, C., & Brewer, W. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. Review of Educational Research, 63(1), 1–49. doi:10.3102/00346543063001001.
Clark, A. (2006). Language, embodiment, and the cognitive niche. Cognitive Sciences, 10(8), 370–374.
Cohen, G. L., & Sherman, D. K. (2014). The psychology of change: Self-affirmation and social psychological intervention. Annual Review of Psychology, 65, 333–371.
Demaria, S., Aune, J., & Jodlowski, D. (2008). Bruno Bettleheim, autism and the rhetoric of scientific authority. In M. Osteen (Ed.), Autism and representation (pp. 65–77). New York: Routledge.
Diessel, H. (2014). Demonstratives, frames of reference, and semantic universals of space. Language and Linguistics Compass, 8(3), 116–132.
Dijksterhuis, A., & Aarts, A. (2010). Goals, attention, and (un)consciousness. Annual Review of Psychology, 61, 467–490.
Dijksterhuis, A., & Meurs, S. (2006). Where creativity resides: The generative power of unconscious thought. Consciousness and Cognition, 15(1), 135–146. doi:10.1016/j.concog.2005.04.007.
Elman, J., Bates, E., Johnson, M., Kanniloff-Smith, A., Parisi, D., & Plunkett, K. (1996). Rethinking innateness: A connectionist perspective on development. Cambridge: MIT Press.
Endsley, M., & Garland, D. (2000). Situation awareness analysis and measurement. Mahwah, NJ: Erlbaum.
Felder, R., & Brent, R. (2003). Learning by doing. Chemical Engineering Education, 37(4), 282–283.
Greenberg, L., & Safran, J. (1981). Encoding and cognitive therapy: Changing what clients attend to. Psychotherapy: Theory, Research and Practice, 18(2), 163–169. doi:10.1037/h0086076.
Haber, S., & Knutson, B. (2010). The reward circuit: Linking primate anatomy and human imaging. Neuropsychopharmacology, 35(1), 4–26.
Hart, G., Leung, B. K., & Balleine, B. W. (2014). Dorsal and ventral streams: The distinct role of striatal sub-regions in the acquisition and performance of goal-directed actions. Neurobiology of Learning and Memory, 108, 104–118. doi:10.1016/j.nlm.2013.11.00.
Holtgraves, T., & Kahima, Y. (2008). Language, meaning, and social cognition. Personality and Social Pyschology Review, 12(1), 173–194. doi:10.1177/1088868307309605.
Klin, A., Shultz, S., & Jones, W. (2015). Social visual engagement in infants and toddlers with autism: Early developmental transitions and a model of pathogenesis. Neuroscience and Biobehavioral Reviews, 50, 189–203. doi:10.1016/j.neubiorev.2014.10.006.
Koziol, L. F., & Budding, D. E. (2009). Subcortical structures and cognition: Implications for neuropsychological assessment. New York: Springer.
Lipson, M. (1982). Learning new information from text: The role of prior knowledge and reading ability. Journal of Literacy Research, 14(3), 243–261. doi:10.1080/10862968209547453.
Logan, G. D. (1992). Attention and preattention in theories of automaticity. American Journal of Psychology, 105, 317–339.
Lord, C. G., Ross, L. R., & Lepper, M. R. (1979). Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 39(11), 2098–2109.
Majid, A., Bowerman, M., Kits, S., Haun, D., & Levinson, S. (2004). Can language restructure cognition? The case for space. Trends in Cognitive Neuroscience, 8(3), 108–114. doi:10.1016/j.tics.2004.01.003.
McGinty, V., Hayden, B., Heilbronner, S., Dumont, E., Graves, S., Mirrione, M., et al. (2011). Emerging, reemerging, and forgotten brain areas of the reward circuit: Notes from the 2010 motivational and neural networks conference. Behavioural Brain Research, 225, 348–357. doi:10.1016/j.bbr.2011.07.036. Retrieved from National Institute of Health.
Neches, R. (1987). Learning through incremental reinforcement of procedures. In D. Klahr, P. Langley, & R. Neches (Eds.), Production system models of learning and development (pp. 163–222). Boston: Massachusetts Institute of Technology.
Nyhan, B., & Reifler, J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior, 32(2), 303–330.
Pennebaker, J., & Francis, M. (1996). Cognitive, emotional, and language processes in disclosure. Cognition and Emotion, 10(6), 601–612.
Perlmutter, M., & Nyquist, L. (1990). Relationship between self-reported physical and mental health and intelligence performance across adulthood. Journal of Gerontology, 45, 145–155.
Petrov, A., Dosher, B., & Lu, Z. (2005). The dynamics of perceptual learning: An incremental reweighting model. Psychological Review, 112(4), 715–743. doi:10.1037/0033-295X.112.4.715.
Piaget, J. (1972). Development and learning. In C. S. Lavattelly (Ed.), Reading in child behavior and development. New York: Harcourt Brace Janovich.
Piaget, J. (1974). The child’s conception of the world. London: Paladin Books.
Piaget, J. (1977). Intellectual evolution from adolescence to adulthood. Cambridge: Cambridge University Press.
Regan, A., & Hill, C. (1992). Investigation of what clients and counselors do not say in brief therapy. Journal of Counseling Psychology, 39(2), 168–174. doi:10.1037/0022-0167.39.2.168.
Rutter, M. (2006). Genes and behavior: Nature-nurture interplay explained. Malden, MA: Blackwell Publishing.
Shell, D., Brooks, D., Trainin, G., Wilson, K., Kauffman, D., & Herr, L. (2010). The unified learning model how motivational, cognitive, and neurobiological sciences inform best teaching practices. New York: Springer.
Steele, C. M. (1988). The psychology of self-affirmation: Sustaining the integrity of the self. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 21, pp. 261–302). New York: Academic Press.
Taber, C. S., & Lodge, M. (2006). Motivated skepticism in the evaluation of political beliefs. American Journal of Political Science, 50(3), 755–769.
Thatch, W. (1997). Context-response linkage. International Review of Neurobiology, 41, 599–611. doi:10.1016/S0074-7742(08)60372-4.
Thorndike, E. (1932). The fundamentals of learning. New York: Teachers College Press.
van Merriënboer, J., Kester, L., & Paas, F. (2006). Teaching complex rather than simple tasks: Balancing intrinsic and germane load to enhance transfer of learning. Applied Cognitive Psychology, 20(3), 343–352. doi:10.1002/acp.1250.
Vygotsky, L. (1934/1986). Thought and language. Cambridge: MIT Press.
Wampol, B. (2015). How important are the common factors in psychotherapy? An update. World Psychiatry, 14(3), 270–277. doi:10.1002/wps.20238.
Wasserman, T., & Wasserman, L. (2015). The misnomer of attention deficit hyperactivity disorder. Applied Neuropsychology: Child, 4(2), 115–122. doi:10.1080/21622965.2015.1005487.
Watson-Gegeo, K. (2004). Mind, language, and epistemology: Toward a language socialization paradigm for SLA. Modern Language Journal, 88(3), 331–350. doi:10.1111/j.0026-7902.2004.00233.x.
Wood, J. V., Perunovic, W. Q. E., & Lee, J. W. (2009). Positive self-statements; power for some peril for others. Psychological Science, 20(7), 860–866.
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Wasserman, T., Wasserman, L.D. (2017). Introduction to Neurocognitive Learning Therapy. In: Neurocognitive Learning Therapy: Theory and Practice. Springer, Cham. https://doi.org/10.1007/978-3-319-60849-5_1
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