Different Components of Cognitive-behavioral Therapy Affect Specific Cognitive Mechanisms
Affiliations
Psychological therapies are among the most effective treatments for common mental health problems-however, we still know relatively little about how exactly they improve symptoms. Here, we demonstrate the power of combining theory with computational methods to parse effects of different components of cognitive-behavioral therapies onto underlying mechanisms. Specifically, we present data from a series of randomized-controlled experiments testing the effects of brief components of behavioral and cognitive therapies on different cognitive processes, using well-validated behavioral measures and associated computational models. A goal setting intervention, based on behavioral activation therapy activities, reliably and selectively reduced sensitivity to effort when deciding how to act to gain reward. By contrast, a cognitive restructuring intervention, based on cognitive therapy materials, reliably and selectively reduced the tendency to attribute negative everyday events to self-related causes. The effects of each intervention were specific to these respective measures. Our approach provides a basis for beginning to understand how different elements of common psychotherapy programs may work.
Jiang S, Jia Q, Peng Z, Zhou Q, Yi Q, An Z Neuropsychiatr Dis Treat. 2024; 20:2443-2455.
PMID: 39677508 PMC: 11646402. DOI: 10.2147/NDT.S484205.
A computational approach to understanding effort-based decision-making in depression.
Valton V, Mkrtchian A, Moses-Payne M, Gray A, Kieslich K, VanUrk S bioRxiv. 2024; .
PMID: 39372799 PMC: 11452193. DOI: 10.1101/2024.06.17.599286.
Informing the treatment of social anxiety disorder with computational and neuroimaging data.
Sohail A, Zhang L Psychoradiology. 2024; 4:kkae010.
PMID: 38841558 PMC: 11152174. DOI: 10.1093/psyrad/kkae010.