Have a personal or library account? Click to login
Reward Sensitivity and Noise Contribute to Negative Affective Bias: A Learning Signal Detection Theory Approach in Decision-Making Cover

Reward Sensitivity and Noise Contribute to Negative Affective Bias: A Learning Signal Detection Theory Approach in Decision-Making

Open Access
|May 2024

References

  1. 1Ackermann, J. F., & Landy, M. S. (2015). Suboptimal decision criteria are predicted by subjectively weighted probabilities and rewards. Attention, Perception, & Psychophysics, 77(2), 638658. DOI: 10.3758/s13414-014-0779-z
  2. 2Admon, R., & Pizzagalli, D. A. (2015). Dysfunctional Reward Processing in Depression. Curr Opin Psychol, 4, 114118. DOI: 10.1016/j.copsyc.2014.12.011
  3. 3Aylward, J., Hales, C., Robinson, E., & Robinson, O. J. (2020). Translating a rodent measure of negative bias into humans: the impact of induced anxiety and unmedicated mood and anxiety disorders. Psychol Med, 50(2), 237246. DOI: 10.1017/s0033291718004117
  4. 4Chung, D., Kadlec, K., Aimone, J. A., McCurry, K., King-Casas, B., & Chiu, P. H. (2017). Valuation in major depression is intact and stable in a non-learning environment. Scientific reports, 7(1), 44374. DOI: 10.1038/srep44374
  5. 5Craske, M. G., Meuret, A. E., Echiverri-Cohen, A., Rosenfield, D., & Ritz, T. (2023). Positive affect treatment targets reward sensitivity: A randomized controlled trial. J Consult Clin Psychol, 91(6), 350366. DOI: 10.1037/ccp0000805
  6. 6Daniel-Watanabe, L., McLaughlin, M., Gormley, S., & Robinson, O. J. (2022). Association Between a Directly Translated Cognitive Measure of Negative Bias and Self-reported Psychiatric Symptoms. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7(2), 201209. DOI: 10.1016/j.bpsc.2020.02.010
  7. 7Everaert, J., Podina, I. R., & Koster, E. H. W. (2017). A comprehensive meta-analysis of interpretation biases in depression. Clinical Psychology Review, 58, 3348. DOI: 10.1016/j.cpr.2017.09.005
  8. 8Godlewska, B. R., & Harmer, C. J. (2021). Cognitive neuropsychological theory of antidepressant action: a modern-day approach to depression and its treatment. Psychopharmacology (Berl), 238(5), 12651278. DOI: 10.1007/s00213-019-05448-0
  9. 9Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. John Wiley.
  10. 10Halahakoon, D. C., Kieslich, K., O’Driscoll, C., Nair, A., Lewis, G., & Roiser, J. P. (2020). Reward-Processing Behavior in Depressed Participants Relative to Healthy Volunteers: A Systematic Review and Meta-analysis. JAMA Psychiatry, 77(12), 12861295. DOI: 10.1001/jamapsychiatry.2020.2139
  11. 11Hales, C. A., Robinson, E. S., & Houghton, C. J. (2016). Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats. PLoS ONE, 11(3), e0152592. DOI: 10.1371/journal.pone.0152592
  12. 12Huys, Q. J. M., Cools, R., Gölzer, M., Friedel, E., Heinz, A., Dolan, R. J., & Dayan, P. (2011). Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding. PLOS Computational Biology, 7(4), e1002028. DOI: 10.1371/journal.pcbi.1002028
  13. 13Huys, Q. J. M., Pizzagalli, D. A., Bogdan, R., & Dayan, P. (2013). Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis. Biology of Mood & Anxiety Disorders, 3(1), 12. DOI: 10.1186/2045-5380-3-12
  14. 14Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263291. DOI: 10.2307/1914185
  15. 15Keller, A. S., Leikauf, J. E., Holt-Gosselin, B., Staveland, B. R., & Williams, L. M. (2019). Paying attention to attention in depression. Transl Psychiatry, 9(1), 279. DOI: 10.1038/s41398-019-0616-1
  16. 16Locke, S. M., & Robinson, O. J. (2021). Affective Bias Through the Lens of Signal Detection Theory. Comput Psychiatr, 5(1), 420. DOI: 10.5334/cpsy.58
  17. 17Macmillan, N. A., & Creelman, C. D. (1991). Detection theory: A user’s guide. Cambridge University Press.
  18. 18Norton, E. H., Acerbi, L., Ma, W. J., & Landy, M. S. (2019). Human online adaptation to changes in prior probability. PLOS Computational Biology, 15(7), e1006681. DOI: 10.1371/journal.pcbi.1006681
  19. 19Park, G., Vasey, M. W., Kim, G., Hu, D. D., & Thayer, J. F. (2016). Trait Anxiety Is Associated with Negative Interpretations When Resolving Valence Ambiguity of Surprised Faces [Original Research]. Frontiers in Psychology, 7. https://www.frontiersin.org/article/10.3389/fpsyg.2016.01164
  20. 20Pike, A. C., & Robinson, O. J. (2022). Reinforcement Learning in Patients With Mood and Anxiety Disorders vs Control Individuals: A Systematic Review and Meta-analysis. JAMA Psychiatry, 79(4), 313322. DOI: 10.1001/jamapsychiatry.2022.0051
  21. 21Pizzagalli, D. A., Iosifescu, D., Hallett, L. A., Ratner, K. G., & Fava, M. (2008). Reduced hedonic capacity in major depressive disorder: evidence from a probabilistic reward task. J Psychiatr Res, 43(1), 7687. DOI: 10.1016/j.jpsychires.2008.03.001
  22. 22Rahnev, D., & Denison, R. N. (2018). Suboptimality in perceptual decision making. Behav Brain Sci, 41, e223. DOI: 10.1017/s0140525x18000936
  23. 23Roiser, J. P., Elliott, R., & Sahakian, B. J. (2012). Cognitive mechanisms of treatment in depression. Neuropsychopharmacology, 37(1), 117136. DOI: 10.1038/npp.2011.183
  24. 24Roiser, J. P., & Sahakian, B. J. (2013). Hot and cold cognition in depression. CNS Spectrums, 18(3), 139149. DOI: 10.1017/S1092852913000072
  25. 25Ulehla, Z. J. (1966). Optimality of perceptual decision criteria. J Exp Psychol, 71(4), 564569. DOI: 10.1037/h0023007
  26. 26Varghese, S., Frey, B. N., Schneider, M. A., Kapczinski, F., & de Azevedo Cardoso, T. (2022). Functional and cognitive impairment in the first episode of depression: A systematic review. Acta Psychiatr Scand, 145(2), 156185. DOI: 10.1111/acps.13385
DOI: https://doi.org/10.5334/cpsy.102 | Journal eISSN: 2379-6227
Language: English
Submitted on: Oct 2, 2023
Accepted on: Apr 9, 2024
Published on: May 9, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Isabel K. Lütkenherm, Shannon M. Locke, Oliver J. Robinson, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.