Skip to main content

Advertisement

Log in

Comparing Influence of Depression and Negative Affect on Decision Making

  • Research in Progress
  • Published:
Psychological Studies Aims and scope Submit manuscript

Abstract

The current study aimed to explore differential value-based decision-making patterns across three groups—individuals diagnosed with mild-to-moderate depression, a healthy matched control group, and a negative mood induction group. In the current study, drug- and therapy-naïve individuals diagnosed with first episode of mild-to-moderate depression (n = 40), healthy individuals matched on age, gender, and education (n = 40), and healthy individuals with no current, past, or family history of any psychiatric conditions in a negative mood-induced state (n = 40) were administered the IOWA Gambling Task (IGT) and the Balloon Analog Risk Task (BART). Results indicated that individuals with depression showed heightened punishment sensitivity on both the IGT and the BART (p < 0.05 on the BART and p < 0.05 on the IGT), and performed poorly on the IGT indicating poor and slow learning (p < 0.01). A similar, less severe, pattern was observed in the negative mood induction group. Individuals with mild-to-moderate depression performed poorly on tasks of value-based decision making. The significance of process factors in decision making, such as reward and punishment sensitivity, valuation of outcomes and learning, was highlighted in this study. The study also demonstrated how a negative affective state, without the other clusters of depressive symptomatology, can also lead to a less severe, but impaired decision making.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data Availability

Not applicable.

Abbreviations

IGT:

Iowa Gambling Task

PEBL:

Psychology Experiment Building Software

BART:

Balloon Analog Risk Task

LTC Index:

Learning of long-term consequences index

IFL Bias:

Bias for infrequent loss index

BDI-II:

Beck’s Depression Inventory-II

References

  • Alloy, L. B., Olino, T., Freed, R. D., & Nusslock, R. (2016). Role of reward sensitivity and processing in major depressive and bipolar spectrum disorders. Behavior Therapy, 47(5), 600–621.

    Article  PubMed  PubMed Central  Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Association. https://doi.org/10.1176/appi.books.9780890425596

    Book  Google Scholar 

  • Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck Depression Inventory, (BDI-II). The Psychological Association.

    Google Scholar 

  • Berridge, K. C., & Robinson, T. E. (2003). Parsing reward. Trends in Neurosciences, 26(9), 507–513.

    Article  PubMed  Google Scholar 

  • Buelow, M. T., & Blaine, A. L. (2015). The assessment of risky decision making: A factor analysis of performance on the Iowa Gambling Task, Balloon Analogue Risk Task, and Columbia Card Task. Psychological Assessment, 27(3), 777.

    Article  PubMed  Google Scholar 

  • Cella, M., Dymond, S., & Cooper, A. (2010). Impaired flexible decision-making in major depressive disorder. Journal of Affective Disorders, 124(1–2), 207–210.

    Article  PubMed  Google Scholar 

  • de Vries, M., Holland, R. W., & Witteman, C. L. (2008). In the winning mood: Affect in the Iowa gambling task. Judgment and Decision Making, 3(1), 42–50.

    Article  Google Scholar 

  • Deisenhammer, E. A., Schmid, S. K., Kemmler, G., Moser, B., & Delazer, M. (2018). Decision making under risk and under ambiguity in depressed suicide attempters, depressed non-attempters and healthy controls. Journal of Affective Disorders, 226, 261–266.

    Article  PubMed  Google Scholar 

  • Goldberg, D. P. (1988). User’s guide to the General Health Questionnaire. Windsor.

    Google Scholar 

  • Hegedűs, K. M., Szkaliczki, A., Gál, B. I., Andó, B., Janka, Z., & Álmos, P. Z. (2018). Decision-making performance of depressed patients within 72 h following a suicide attempt. Journal of Affective Disorders, 235, 583–588.

    Article  PubMed  Google Scholar 

  • Hevey, D., Thomas, K., Laureano-Schelten, S., Looney, K., & Booth, R. (2017). Clinical depression and punishment sensitivity on the BART. Frontiers in Psychology, 8, 670.

    Article  PubMed  PubMed Central  Google Scholar 

  • Howlett, J. R., & Paulus, M. P. (2013). Decision-making dysfunctions of counterfactuals in depression: Who might I have been? Frontiers in Psychiatry, 4, 143.

    Article  PubMed  PubMed Central  Google Scholar 

  • Huys, Q. J., Daw, N. D., & Dayan, P. (2015). Depression: A decision-theoretic analysis. Annual Review of Neuroscience, 38, 1–23.

    Article  PubMed  Google Scholar 

  • Kim, S. H., Yoon, H., Kim, H., & Hamann, S. (2015). Individual differences in sensitivity to reward and punishment and neural activity during reward and avoidance learning. Social Cognitive and Affective Neuroscience, 10(9), 1219–1227. https://doi.org/10.1093/scan/nsv007

    Article  PubMed  PubMed Central  Google Scholar 

  • Lerner, J. S., & Keltner, D. (2001). Fear, anger, and risk. Journal of Personality and Social Psychology, 81(1), 146.

    Article  PubMed  Google Scholar 

  • Leykin, Y., Roberts, C. S., & DeRubeis, R. J. (2011). Decision-making and depressive symptomatology. Cognitive Therapy and Research, 35(4), 333–341.

    Article  PubMed  Google Scholar 

  • Mueller, S. T., & Piper, B. J. (2014). The psychology experiment building language (PEBL) and PEBL test battery. Journal of Neuroscience Methods, 222, 250–259.

    Article  PubMed  Google Scholar 

  • Mukherjee, D., Filipowicz, A. L., Vo, K., Satterthwaite, T. D., & Kable, J. W. (2020). Reward and punishment reversal-learning in major depressive disorder. Journal of Abnormal Psychology, 129(8), 810.

    Article  PubMed  Google Scholar 

  • Mukherjee, D., & Kable, J. W. (2014). Value-based decision making in mental illness: A meta-analysis. Clinical Psychological Science, 2(6), 767–782.

    Article  Google Scholar 

  • Ogbo, F. A., Mathsyaraja, S., Koti, R. K., Perz, J., & Page, A. (2018). The burden of depressive disorders in South Asia, 1990–2016: Findings from the global burden of disease study. BMC Psychiatry, 18(1), 1–11.

    Article  Google Scholar 

  • Owen, G. S., Freyenhagen, F., Hotopf, M., & Martin, W. (2015). Temporal inabilities and decision-making capacity in depression. Phenomenology and the Cognitive Sciences, 14(1), 163–182.

    Article  Google Scholar 

  • Palminteri, S., & Pessiglione, M. (2013). Reinforcement learning and Tourette syndrome. International Review of Neurobiology, 112, 131–153.

  • Paulus, M. P., & Angela, J. Y. (2012). Emotion and decision-making: Affect-driven belief systems in anxiety and depression. Trends in Cognitive Sciences, 16(9), 476–483.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pechtel, P., Dutra, S. J., Goetz, E. L., & Pizzagalli, D. A. (2013). Blunted reward responsiveness in remitted depression. Journal of Psychiatric Research, 47(12), 1864–1869.

    Article  PubMed  PubMed Central  Google Scholar 

  • Peltzer, K., Yi, S., & Pengpid, S. (2017). Suicidal behaviors and associated factors among university students in six countries in the Association of Southeast Asian Nations (ASEAN). Asian Journal of Psychiatry, 26, 32–38.

    Article  PubMed  Google Scholar 

  • Pessoa, L. (2008). On the relationship between emotion and cognition. Nature Reviews Neuroscience, 9(2), 148–158.

    Article  PubMed  Google Scholar 

  • Pizzagalli, D. A., Holmes, A. J., Dillon, D. G., Goetz, E. L., Birk, J. L., Bogdan, R., Dougherty, D. D., Iosifescu, D. V., Rauch, S. L., & Fava, M. (2009). Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder. American Journal of Psychiatry, 166(6), 702–710.

    Article  PubMed  Google Scholar 

  • Prause, N., & Lawyer, S. (2014). Specificity of reinforcement for risk behaviors of the Balloon Analog Risk Task using math models of performance. Journal of Risk Research, 17(3), 317–335.

    Article  Google Scholar 

  • Raghunathan, R., & Pham, M. T. (1999). All negative moods are not equal: Motivational influences of anxiety and sadness on decision making. Organizational Behavior and Human Decision Processes, 79(1), 56–77.

    Article  PubMed  Google Scholar 

  • Rangel, A., Camerer, C., & Montague, P. R. (2008). A framework for studying the neurobiology of value-based decision making. Nature Reviews Neuroscience, 9(7), 545–556.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rinaldi, R., Lefebvre, L., Joachim, A., & Rossignol, M. (2020). Decision-making of patients with major depressive disorder in the framework of action control. Cognitive Neuropsychiatry, 25(1), 71–83.

    Article  PubMed  Google Scholar 

  • Sagar, R., Dandona, R., Gururaj, G., & Dhaliwal, R. S. (2020). India State-Level Disease Burden Initiative Mental Disorders Collaborators. The burden of mental disorders across the states of India: The Global Burden of Disease Study 1990–2017. Lancet Psychiatry, 7(2), 148–161.

    Article  Google Scholar 

  • Shukla, M., Rasmussen, E. C., & Nestor, P. G. (2019). Emotion and decision-making: Induced mood influences IGT scores and deck selection strategies. Journal of Clinical and Experimental Neuropsychology, 41(4), 341–352.

    Article  PubMed  Google Scholar 

  • Smoski, M. J., Lynch, T. R., Rosenthal, M. Z., Cheavens, J. S., Chapman, A. L., & Krishnan, R. R. (2008). Decision-making and risk aversion among depressive adults. Journal of Behavior Therapy and Experimental Psychiatry, 39(4), 567–576.

    Article  PubMed  PubMed Central  Google Scholar 

  • Stanton, S. J., Reeck, C., Huettel, S. A., & LaBar, K. S. (2014). Effects of induced moods on economic choices. Judgment and Decision Making, 9(2), 167.

    Article  Google Scholar 

  • Treadway, M. T., Bossaller, N. A., Shelton, R. C., & Zald, D. H. (2012). Effort-based decision-making in major depressive disorder: A translational model of motivational anhedonia. Journal of Abnormal Psychology, 121(3), 553.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tyng, C. M., Amin, H. U., Saad, M. N., & Malik, A. S. (2017). The influences of emotion on learning and memory. Frontiers in Psychology, 8, 1454.

    Article  PubMed  PubMed Central  Google Scholar 

  • van Randenborgh, A., de Jong-Meyer, R., & Hüffmeier, J. (2010). Decision making in depression: Differences in decisional conflict between healthy and depressed individuals. Clinical Psychology & Psychotherapy, 17(4), 285–298.

    Google Scholar 

  • Vidyanidhi, K., & Sudhir, P. M. (2009). Interpersonal sensitivity and dysfunctional cognitions in social anxiety and depression. Asian Journal of Psychiatry, 2(1), 25–28.

    Article  PubMed  Google Scholar 

  • Whitmer, A. J., Frank, M. J., & Gotlib, I. H. (2012). Sensitivity to reward and punishment in major depressive disorder: Effects of rumination and of single versus multiple experiences. Cognition & Emotion, 26(8), 1475–1485.

    Article  Google Scholar 

  • World Health Organization. (1993). International Classification of Diseases, Eleventh Revision (ICD-11). https://www.who.int/standards/classifications/classification-of-diseases

  • Yatham, S., Sivathasan, S., Yoon, R., da Silva, T. L., & Ravindran, A. V. (2018). Depression, anxiety, and post-traumatic stress disorder among youth in low and middle income countries: A review of prevalence and treatment interventions. Asian Journal of Psychiatry, 38, 78–91.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors wish to acknowledge the support of Cognitive, Affect and Behaviour Laboratory, Department of Psychology, CHRIST (Deemed to be University), India, for resources for participant assessment. We also wish to thank Ms. Ritisikita Mishra and Ms. Ritirikta Mishra for technical support. We also thank our participants for their valued contribution to the study.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

Both the authors have contributed equally to the planning, execution, data analysis, and review of the manuscript. Data collection was primarily conducted by the first author.

Corresponding author

Correspondence to Harishankar Moosath.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Consent to Participate

Written informed consent was obtained from all participants for the study.

Consent for Publication

Both the authors give consent to publish the article according to the terms and conditions shared on the journal webpage.

Ethics Approval

The study was reviewed and approved by the Institutional Review Board, CHRIST (Deemed to be University), Bangalore, India.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Moosath, H., Rangaswamy, M. Comparing Influence of Depression and Negative Affect on Decision Making. Psychol Stud 68, 310–318 (2023). https://doi.org/10.1007/s12646-023-00719-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12646-023-00719-5

Keywords

Navigation