Applications of Behavioral Economics and Neuroeconomics in Mental Health
Abstract
Objective: The integration of behavioral economics and neuroeconomics into mental health offers innovative perspectives on understanding and addressing psychological disorders. This overview aims to synthesize current knowledge and explore the implications of these interdisciplinary approaches in the context of mental health.
Method: In this narrative review, we summarized the current evidence regarding the applications of behavioral economics and neuroeconomics approaches in the field of mental health.
Results: Behavioral economics and neuroeconomics provide valuable insights into the cognitive and emotional processes underlying mental health disorders, such as irrational decision-making, impulsivity, and self-control issues. Concepts such as loss aversion, temporal discounting, and framing effects inform the development of innovative interventions and policy initiatives. Behavioral economic interventions, including nudges, incentives, and commitment devices, show promise in promoting treatment adherence, reducing risky behaviors, and enhancing mental well-being. Neuroeconomics contributes by identifying neural markers predictive of treatment response and relapse risk, paving the way for personalized treatment approaches.
Conclusion: The integration of behavioral economics and neuroeconomics into mental health research and practice holds significant potential for improving the understanding of psychological disorders and developing more effective, personalized interventions. Further research is needed to elucidate the mechanisms of action, optimize intervention strategies, and address ethical considerations associated with these approaches in mental health settings.
2. Talepasand S, Mohammadi MR, Alavi SS, Khaleghi A, Sajedi Z, Akbari P, et al. Psychiatric disorders in children and adolescents: Prevalence and sociodemographic correlates in Semnan Province in Iran. Asian J Psychiatr. 2019;40:9-14.
3. Alavi SS, Mohammadi MR, Hooshyari Z, Mohammadi Kalhori S, Salehi M, Salmanian M, et al. Epidemiology of Psychotic Disorders Based on Demographic Variables in Iranian Children and Adolescents. Iran J Psychiatry. 2021;16(1):1-12.
4. Mihan R, Mousavi SB, Khodaie Ardakani MR, Rezaei H, Hosseinzadeh S, Nazeri Astaneh A, et al. Comparison of Caregivers' Burden among Family Members of Patients with Severe Mental Disorders and Patients with Substance Use Disorder. Iran J Psychiatry. 2023;18(2):183-90.
5. Shamsaei F, Cheraghi F, Bashirian S. Burden on Family Caregivers Caring for Patients with Schizophrenia. Iran J Psychiatry. 2015;10(4):239-45.
6. Dennison JB, Sazhin D, Smith DV. Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges. Wiley Interdiscip Rev Cogn Sci. 2022;13(3):e1589.
7. Kishida KT, King-Casas B, Montague PR. Neuroeconomic approaches to mental disorders. Neuron. 2010;67(4):543-54.
8. Robson SE, Repetto L, Gountouna VE, Nicodemus KK. A review of neuroeconomic gameplay in psychiatric disorders. Mol Psychiatry. 2020;25(1):67-81.
9. Haber SN, Behrens TE. The neural network underlying incentive-based learning: implications for interpreting circuit disruptions in psychiatric disorders. Neuron. 2014;83(5):1019-39.
10. Cáceda R, Nemeroff CB, Harvey PD. Toward an understanding of decision making in severe mental illness. J Neuropsychiatry Clin Neurosci. 2014;26(3):196-213.
11. Khaleghi A, Mohammadi MR, Shahi K, Nasrabadi AM. Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches. Clin Psychopharmacol Neurosci. 2022;20(1):26-36.
12. Khaleghi A, Pirzad Jahromi G, Zarafshan H, Mostafavi SA, Mohammadi MR. Effects of transcranial direct current stimulation of prefrontal cortex on risk-taking behavior. Psychiatry Clin Neurosci. 2020;74(9):455-65.
13. Chan HWQ, Sun CFR. Irrational beliefs, depression, anxiety, and stress among university students in Hong Kong. J Am Coll Health. 2021;69(8):827-41.
14. Bickel WK, Mellis AM, Snider SE, Moody L, Stein JS, Quisenberry AJ. Novel Therapeutics for Addiction: Behavioral and Neuroeconomic Approaches. Curr Treat Options Psychiatry. 2016;3(3):277-92.
15. Beidas RS, Volpp KG, Buttenheim AN, Marcus SC, Olfson M, Pellecchia M, et al. Transforming Mental Health Delivery Through Behavioral Economics and Implementation Science: Protocol for Three Exploratory Projects. JMIR Res Protoc. 2019;8(2):e12121.
16. Koundouri P, Hammer B, Kuhl U, Velias A. Behavioral economics and neuroeconomics of environmental values. Annu Rev Resour Economics. 2023;15(1):153-76.
17. Amlung M, Owens MM, Hargreaves T, Gray JC, Murphy CM, MacKillop J, et al. Neuroeconomic predictors of smoking cessation outcomes: A preliminary study of delay discounting in treatment-seeking adult smokers. Psychiatry Res Neuroimaging. 2022;327:111555.
18. Casado-Aranda L-A, Fernández-Aguilar C, Sánchez-Fernández J, Martín JJM, Minué-Lorenzo S. A Neuroimaging Study Protocol on the Motivational Structures of Physicians Belonging to Private and Public Health: Neuroeconomics in Healthcare. Critical Issues on Changing Dynamics in Employee Relations and Workforce Diversity: IGI Global; 2021. p. 242-65.
19. Last BS, Schriger SH, Timon CE, Frank HE, Buttenheim AM, Rudd BN, et al. Using behavioral insights to design implementation strategies in public mental health settings: a qualitative study of clinical decision-making. Implement Sci Commun. 2021;2(1):6.
20. Cati MM. Expanding Psychoeconomics of Healthcare Decisions: A Global Perspective on Behavioral Interventions and Policy Implications. Psychology. 2024;15(8):1391-401.
21. Sander D, Nummenmaa L. Reward and emotion: an affective neuroscience approach. Curr Opin Behav Sci. 2021;39:161-7.
22. Weinstein AM. Reward, motivation and brain imaging in human healthy participants - A narrative review. Front Behav Neurosci. 2023;17:1123733.
23. van Duijvenvoorde ACK, van Hoorn J, Blankenstein NE. Risks and rewards in adolescent decision-making. Curr Opin Psychol. 2022;48:101457.
24. Loewenstein G. Emotions in economic theory and economic behavior. Am Econ Rev. 2000;90(2):426-32.
25. Grayot JD. Dual process theories in behavioral economics and neuroeconomics: A critical review. Rev Philos Psychol. 2020;11(1):105-36.
26. Shapiro AD, Grafton ST. Subjective value then confidence in human ventromedial prefrontal cortex. PLoS One. 2020;15(2):e0225617.
27. O'Doherty JP, Cockburn J, Pauli WM. Learning, Reward, and Decision Making. Annu Rev Psychol. 2017;68:73-100.
28. Verharen JPH, Adan RAH, Vanderschuren L. How Reward and Aversion Shape Motivation and Decision Making: A Computational Account. Neuroscientist. 2020;26(1):87-99.
29. Lerner TN, Holloway AL, Seiler JL. Dopamine, Updated: Reward Prediction Error and Beyond. Curr Opin Neurobiol. 2021;67:123-30.
30. Bailey AJ, Romeu RJ, Finn PR. The problems with delay discounting: a critical review of current practices and clinical applications. Psychol Med. 2021;51(11):1799-806.
31. Syan SK, González-Roz A, Amlung M, Sweet LH, MacKillop J. Delayed Reward Discounting as a Prognostic Factor for Smoking Cessation Treatment Outcome: A Systematic Review. Nicotine Tob Res. 2021;23(10):1636-45.
32. Ashe ML, Wilson SJ. A brief review of choice bundling: A strategy to reduce delay discounting and bolster self-control. Addict Behav Rep. 2020;11:100262.
33. Botvinick M, Wang JX, Dabney W, Miller KJ, Kurth-Nelson Z. Deep Reinforcement Learning and Its Neuroscientific Implications. Neuron. 2020;107(4):603-16.
34. Vélez N, Gweon H. Learning from other minds: An optimistic critique of reinforcement learning models of social learning. Curr Opin Behav Sci. 2021;38:110-5.
35. Nussenbaum K, Hartley CA. Understanding the development of reward learning through the lens of meta-learning. Nat Rev Psychol. 2024:1-15.
36. Zhou J, Gardner MPH, Schoenbaum G. Is the core function of orbitofrontal cortex to signal values or make predictions? Curr Opin Behav Sci. 2021;41:1-9.
37. Xu Y, Lin Y, Yu M, Zhou K. The nucleus accumbens in reward and aversion processing: insights and implications. Front Behav Neurosci. 2024;18:1420028.
38. Filimon F, Nelson JD, Sejnowski TJ, Sereno MI, Cottrell GW. The ventral striatum dissociates information expectation, reward anticipation, and reward receipt. Proc Natl Acad Sci U S A. 2020;117(26):15200-8.
39. Varma MM, Zhen S, Yu R. Not all discounts are created equal: Regional activity and brain networks in temporal and effort discounting. Neuroimage. 2023;280:120363.
40. Fatahi Z, Ghorbani A, Ismail Zibaii M, Haghparast A. Neural synchronization between the anterior cingulate and orbitofrontal cortices during effort-based decision making. Neurobiol Learn Mem. 2020;175:107320.
41. Monosov IE, Rushworth MFS. Interactions between ventrolateral prefrontal and anterior cingulate cortex during learning and behavioural change. Neuropsychopharmacology. 2022;47(1):196-210.
42. Averbeck BB, Murray EA. Hypothalamic Interactions with Large-Scale Neural Circuits Underlying Reinforcement Learning and Motivated Behavior. Trends Neurosci. 2020;43(9):681-94.
43. Averbeck B, O'Doherty JP. Reinforcement-learning in fronto-striatal circuits. Neuropsychopharmacology. 2022;47(1):147-62.
44. Aldridge-Waddon L, Vanova M, Munneke J, Puzzo I, Kumari V. Atypical social reward anticipation as a transdiagnostic characteristic of psychopathology: A meta-analytic review and critical evaluation of current evidence. Clin Psychol Rev. 2020;82:101942.
45. Meiering MS, Weigner D, Enge S, Grimm S. Transdiagnostic phenomena of psychopathology in the context of the RDoC: protocol of a multimodal cross-sectional study. BMC Psychol. 2023;11(1):297.
46. Kasparek SW, Gastón-Panthaki A, Hanford LC, Lengua LJ, Sheridan MA, McLaughlin KA. Does reward processing moderate or mediate the link between childhood adversity and psychopathology: A longitudinal study. Dev Psychopathol. 2023;35(5):2338-51.
47. Halahakoon DC, Kieslich K, O'Driscoll C, Nair A, Lewis G, Roiser JP. Reward-Processing Behavior in Depressed Participants Relative to Healthy Volunteers: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2020;77(12):1286-95.
48. Borsini A, Wallis ASJ, Zunszain P, Pariante CM, Kempton MJ. Characterizing anhedonia: A systematic review of neuroimaging across the subtypes of reward processing deficits in depression. Cogn Affect Behav Neurosci. 2020;20(4):816-41.
49. Wang S, Leri F, Rizvi SJ. Anhedonia as a central factor in depression: Neural mechanisms revealed from preclinical to clinical evidence. Prog Neuropsychopharmacol Biol Psychiatry. 2021;110:110289.
50. Chan CC, Alter S, Hazlett EA, Shafritz KM, Yehuda R, Goodman M, et al. Neural correlates of impulsivity in bipolar disorder: A systematic review and clinical implications. Neurosci Biobehav Rev. 2023;147:105109.
51. Magioncalda P, Martino M. A unified model of the pathophysiology of bipolar disorder. Mol Psychiatry. 2022;27(1):202-11.
52. Carlton CN, Sullivan-Toole H, Ghane M, Richey JA. Reward Circuitry and Motivational Deficits in Social Anxiety Disorder: What Can Be Learned From Mouse Models? Front Neurosci. 2020;14:154.
53. Wang Q, Wang C, Deng Q, Zhan L, Tang Y, Li H, et al. Alterations of regional spontaneous brain activities in anxiety disorders: A meta-analysis. J Affect Disord. 2022;296:233-40.
54. Katz BA, Matanky K, Aviram G, Yovel I. Reinforcement sensitivity, depression and anxiety: A meta-analysis and meta-analytic structural equation model. Clin Psychol Rev. 2020;77:101842.
55. Abram SV, Weittenhiller LP, Bertrand CE, McQuaid JR, Mathalon DH, Ford JM, et al. Psychological Dimensions Relevant to Motivation and Pleasure in Schizophrenia. Front Behav Neurosci. 2022;16:827260.
56. Kesby JP, Murray GK, Knolle F. Neural Circuitry of Salience and Reward Processing in Psychosis. Biol Psychiatry Glob Open Sci. 2023;3(1):33-46.
57. Howes OD, Hird EJ, Adams RA, Corlett PR, McGuire P. Aberrant Salience, Information Processing, and Dopaminergic Signaling in People at Clinical High Risk for Psychosis. Biol Psychiatry. 2020;88(4):304-14.
58. Poulton A, Hester R. Transition to substance use disorders: impulsivity for reward and learning from reward. Soc Cogn Affect Neurosci. 2020;15(10):1182-91.
59. Bayassi-Jakowicka M, Lietzau G, Czuba E, Patrone C, Kowiański P. More than Addiction-The Nucleus Accumbens Contribution to Development of Mental Disorders and Neurodegenerative Diseases. Int J Mol Sci. 2022;23(5).
60. El Rawas R, Amaral IM, Hofer A. Social interaction reward: A resilience approach to overcome vulnerability to drugs of abuse. Eur Neuropsychopharmacol. 2020;37:12-28.
61. Acuff SF, MacKillop J, Murphy JG. A contextualized reinforcer pathology approach to addiction. Nat Rev Psychol. 2023;2(5):309-23.
62. Maturana W, Landeira-Fernandez J, Mograbi DC. Neuroeconomics: A multidisciplinary approach to the study of decision-making. Doutor em Psicologia Approved by the undersigned Examination Committee. 2023:25.
63. Tripp HL, Strickland JC, Mercincavage M, Audrain-McGovern J, Donny EC, Strasser AA. Tailored Cigarette Warning Messages: How Individualized Loss Aversion and Delay Discounting Rates Can Influence Perceived Message Effectiveness. Int J Environ Res Public Health. 2021;18(19).
64. Vlaev I, King D, Dolan P, Darzi A. The theory and practice of “nudging”: changing health behaviors. Public Administration Review. 2016;76(4):550-61.
65. Vlaev I, King D, Darzi A, Dolan P. Changing health behaviors using financial incentives: a review from behavioral economics. BMC Public Health. 2019;19(1):1059.
66. Hodson N. Commitment devices: beyond the medical ethics of nudges. J Med Ethics. 2023;49(2):125-30.
67. Jarke H, Ruggeri K, Graeber J, Tünte MR, Ojinaga-Alfageme O, Verra S, et al. Health behavior and decision-making in healthcare. Psychology and Behavioral Economics: Routledge; 2021. p. 71-98.
68. Rewley J, Guszcza J, Dierst-Davies R, Steier D, Szwartz G, Patel M. Loss Aversion Explains Physical Activity Changes in a Behavioral Gamification Trial. Games Health J. 2021;10(6):430-6.
69. Sheffer CE, Miller A, Bickel WK, Devonish JA, O'Connor RJ, Wang C, et al. The treasure of now and an uncertain future: Delay discounting and health behaviors among cancer survivors. Cancer. 2018;124(24):4711-9.
70. Silva C. Temporal discounting and health behavior: A review. MOJ Public Health. 2017;6(6):00189.
71. Mavandadi S, Wright E, Klaus J, Oslin D. Message Framing and Engagement in Specialty Mental Health Care. Psychiatr Serv. 2018;69(3):308-14.
72. Möllenkamp M, Zeppernick M, Schreyögg J. The effectiveness of nudges in improving the self-management of patients with chronic diseases: A systematic literature review. Health Policy. 2019;123(12):1199-209.
73. Savani MM. The effectiveness of commitment devices: field experiments on health behaviour change: UCL (University College London); 2017.
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Keywords | ||
Behavioral Economics Decision Making Intervention Mental Health Psychiatric Disorders |
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