Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 33, 08 March 2024
Open
Access | Article
Studies of SUD and MDD’s effect on decision-making based on the drift diffusion model
* Author to whom correspondence should be addressed.
Abstract
Major Depressive Disorder (MDD) and Substance Use Disorder (SUD) have been major medical concerns across the globe in the past century. These mental disorders are posited to arise from cognitive dysfunctions in the brain and have a critical influence on decision-making and emotional regulation in patients. Therefore, in-depth investigation into decision-making, a crucial composition of the cognitive system, can help uncover the fundamental mechanism of MDD and SUD and their relationship. By reviewing and contrasting decision-making studies of MDD and SUD through Drift Diffusion Models, this paper found that MDD and SUD reflect similar defects and impacts within the decision-making system. To conclude, though MDD and SUD are often seen as two completely unrelated and even contrasting mental conditions, this result suggests that they might be two sides of the same coin.
Keywords
Decision-making, Drift Diffusion Model, Depression, Addiction
References
1. Ratcliff, R., & McKoon, G. (2008). The diffusion decision model: theory and data for two-choice decision tasks. Neural computation, 20(4), 873–922. https://doi.org/10.1162/neco.2008.12-06-420
2. Mukherjee, D., Lee, S., Kazinka, R., D Satterthwaite, T., & Kable, J. W. (2020). Multiple Facets of Value-Based Decision Making in Major Depressive Disorder. Scientific reports, 10(1), 3415. https://doi.org/10.1038/s41598-020-60230-z
3. Liu, W. H., Roiser, J. P., Wang, L. Z., Zhu, Y. H., Huang, J., Neumann, D. L., Shum, D. H. K., Cheung, E. F. C., & Chan, R. C. K. (2016). Anhedonia is associated with blunted reward sensitivity in first-degree relatives of patients with major depression. Journal of affective disorders, 190, 640–648. https://doi.org/10.1016/j.jad.2015.10.050
4. Zhang, F. F., Peng, W., Sweeney, J. A., Jia, Z. Y., & Gong, Q. Y. (2018). Brain structure alterations in depression: Psychoradiological evidence. CNS neuroscience & therapeutics, 24(11), 994–1003. https://doi.org/10.1111/cns.12835
5. Lawlor, V. M., Webb, C. A., Wiecki, T. V., Frank, M. J., Trivedi, M., Pizzagalli, D. A., & Dillon, D. G. (2020). Dissecting the impact of depression on decision-making. Psychological medicine, 50(10), 1613–1622. https://doi.org/10.1017/S0033291719001570
6. Weigard, A. S., Brislin, S. J., Cope, L. M., Hardee, J. E., Martz, M. E., Ly, A., Zucker, R. A., Sripada, C., & Heitzeg, M. M. (2021). Evidence accumulation and associated error-related brain activity as computationally-informed prospective predictors of substance use in emerging adulthood. Psychopharmacology, 238(9), 2629–2644. https://doi.org/10.1007/s00213-021-05885-w
7. Weigard, A. S., Sathian, K., & Hampstead, B. M. (2020). Model-based assessment and neural correlates of spatial memory deficits in mild cognitive impairment. Neuropsychologia, 136, 107251. https://doi.org/10.1016/j.neuropsychologia.2019.107251
8. Delva, N. C., & Stanwood, G. D. (2021). Dysregulation of brain dopamine systems in major depressive disorder. Experimental biology and medicine (Maywood, N.J.), 246(9), 1084–1093. https://doi.org/10.1177/1535370221991830
9. Kräplin, A., Höfler, M., Pooseh, S., Wolff, M., Krönke, K. M., Goschke, T., Bühringer, G., & Smolka, M. N. (2020). Impulsive decision-making predicts the course of substance-related and addictive disorders. Psychopharmacology, 237(9), 2709–2724. https://doi.org/10.1007/s00213-020-05567-z
10. Wang, K., Duan, Y., Duan, W., Yu, Y., Zheng, N., Hu, J., He, J., Chen, H., & Liang, M. (2021). Bibliometric Insights in Genetic Factors of Substance-Related Disorders: Intellectual Developments, Turning Points, and Emerging Trends. Frontiers in psychiatry, 12, 620489. https://doi.org/10.3389/fpsyt.2021.620489
11. Duan, L., Gao, Y., Shao, X., Tian, C., Fu, C., & Zhu, G. (2020). Research on the Development of Theme Trends and Changes of Knowledge Structures of Drug Therapy Studies on Major Depressive Disorder Since the 21st Century: A Bibliometric Analysis. Frontiers in psychiatry, 11, 647. https://doi.org/10.3389/fpsyt.2020.00647
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the 2nd International Conference on Modern Medicine and Global Health
- ISBN (Print)
- 978-1-83558-323-4
- ISBN (Online)
- 978-1-83558-324-1
- Published Date
- 08 March 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/33/20240839
- Copyright
- 08 March 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited