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Multiple traces or Fuzzy Traces? Converging evidence for applications of modern cognitive theory to psychotherapy

Published online by Cambridge University Press:  08 June 2015

Valerie F. Reyna
Affiliation:
Human Neuroscience Institute, Cornell University, Ithaca, NY 14850. vr53@cornell.eduhttp://www.human.cornell.edu/bio.cfm?netid=vr53
Yulia Landa
Affiliation:
Weill Medical College of Cornell University, New York, NY 10065. yul9003@med.cornell.edu

Abstract

Neurobiologically informed integration of research on memory, emotion, and behavior change in psychotherapy is needed, which Lane at al. advance. Memory reconsolidation that incorporates new emotional experience plays an important role in therapeutic change, converging with evidence for Fuzzy Trace Theory. Applications of Fuzzy Trace Theory to Cognitive Behavioral Therapy (CBT) for youth at risk for psychosis, and to other aspects of behavior change, are discussed.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2015 

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References

Bartlett, F. C. (1932) Remembering: A study in experimental and social psychology. Cambridge University Press.Google Scholar
Bergman, E. T. & Roediger, H. L. III (1999) Can Bartlett's repeated reproduction experiments be replicated? Memory and Cognition 27:937–47.Google Scholar
Brainerd, C. J. & Reyna, V. F. (2005) The science of false memory. Oxford University Press.Google Scholar
Brainerd, C. J., Reyna, V. F. & Zember, E. (2011) Theoretical and forensic implications of developmental studies of the DRM illusion. Memory and Cognition 39(3):365–80. Available at: http://doi.org/10.3758/s13421-010-0043-2.CrossRefGoogle ScholarPubMed
Fraenkel, L., Peters, E., Charpentier, P., Olsen, B., Errante, L., Schoen, R. T. & Reyna, V. (2012) Decision tool to improve the quality of care in rheumatoid arthritis. Arthritis Care and Research 64(7):977–85. Available at: http://doi.org/10.1002/acr.21657.CrossRefGoogle ScholarPubMed
Landa, Y. (2012) Cognitive behavioral therapy for the prevention of paranoia in adolescents at risk (Master of Science in Translational Investigation). Cornell University.Google Scholar
Landa, Y., Mueser, K., Wyka, K., Shreck, E., Jespersen, R., Jacobs, M., Griffin, K., van der Gaag, M., Reyna, V. F., Beck, A., Silbersweig, D. & Walkup, J. (2015) Development of a group and family-based cognitive behavioral therapy program for youth at risk for psychosis. Early Intervention in Psychiatry. ePub ahead of print. doi:10.1111/eip.12204.Google Scholar
Lerner, J. S. & Keltner, D. (2001) Fear, anger, and risk. Journal of Personality and Social Psychology 81:146–59.CrossRefGoogle ScholarPubMed
Reyna, V. F. (2008) A theory of medical decision making and health: Fuzzy-trace theory. Medical Decision Making 28(6):850–65. Available at: http://doi.org/10.1177/0272989X08327066.Google Scholar
Reyna, V. F. (2012) A new intuitionism: Meaning, memory, and development in fuzzy-trace theory. Judgment and Decision Making 7(3):332–59.CrossRefGoogle ScholarPubMed
Reyna, V. F. & Huettel, S. A. (2014) Reward, representation, and impulsivity: A theoretical framework for the neuroscience of risky decision making. In: The neuroscience of risky decision making, ed. Reyna, V. F. & Zayas, V., pp. 1142. American Psychological Association.CrossRefGoogle Scholar
Reyna, V. F. & Mills, B. A. (2014) Theoretically motivated interventions for reducing sexual risk taking in adolescence: A randomized controlled experiment applying fuzzy-trace theory. Journal of Experimental Psychology: General 143(4):1627–48. doi: 10.1037/a0036717.CrossRefGoogle ScholarPubMed
Reyna, V. F., Nelson, W. L., Han, P. K. & Pignone, M. P. (2015) Decision making and cancer. American Psychologist 70(2):105–18.Google Scholar
Reyna, V. F., Wilhelms, E. A., McCormick, M. J., & Weldon, R. B. (in press). Development of risky decision making: Fuzzy-trace theory and neurobiological perspectives. Child Development Perspectives.Google Scholar
Rivers, S. E., Reyna, V. F. & Mills, B. A. (2008) Risk taking under the influence: A fuzzy-trace theory of emotion in adolescence. Developmental Review 28(1):107–44. Available at: http://doi.org/10.1016/j.dr.2007.11.002.Google Scholar
Wolfe, C. R., Reyna, V. F., Widmer, C. L., Cedillos, E. M., Fisher, C. R., Brust-Renck, P. G. & Weil, A. M. (2014) Efficacy of a web-based intelligent tutoring system for communicating genetic risk of breast cancer: A fuzzy-trace theory approach. Medical Decision Making 35(1):4659. doi: 10.1177/0272989X14535983.Google Scholar