Modeling Effort-Based Decision Making: Individual Differences in Schizophrenia and Major Depressive Disorder

被引:3
作者
Saperia, Sarah [1 ,2 ,3 ,4 ]
Felsky, Daniel [1 ,2 ,5 ,6 ]
Da Silva, Susana [5 ]
Siddiqui, Ishraq [1 ,2 ,4 ]
Rector, Neil [5 ,7 ]
Remington, Gary [1 ,2 ,5 ]
Zakzanis, Konstantine K. [3 ]
Foussias, George [1 ,2 ,4 ,5 ]
机构
[1] Ctr Addict & Mental Hlth, Schizophrenia Div, Toronto, ON, Canada
[2] Ctr Addict & Mental Hlth, Campbell Family Mental Hlth Res Inst, Toronto, ON, Canada
[3] Univ Toronto Scarborough, Dept Psychol, Toronto, ON, Canada
[4] Ctr Addict & Mental Hlth, Slaight Family Ctr Youth Transit, Toronto, ON, Canada
[5] Univ Toronto, Temerty Fac Med, Toronto, ON, Canada
[6] Ctr Addict & Mental Hlth, Krembil Ctr Neuroinformat, Toronto, ON, Canada
[7] Sunnybrook Hlth Sci Ctr, Dept Psychiat, Toronto, ON, Canada
关键词
RATING-SCALE; MOTIVATIONAL DEFICITS; NEGATIVE SYMPTOMS; MECHANISMS; REWARD; RELIABILITY; 1ST-EPISODE; RESPONSES; COGNITION;
D O I
10.1016/j.bpsc.2023.05.009
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
BACKGROUND: A critical facet of motivation is effort-based decision making, which refers to the mental processes involved in deciding whether a potential reward is worth the effort. To advance understanding of how individuals with schizophrenia and major depressive disorder utilize cost-benefit information to guide choice behavior, this study aimed to characterize individual differences in the computations associated with effort-based decision making. METHODS: One hundred forty-five participants (51 with schizophrenia, 43 with depression, and 51 healthy control participants) completed the Effort Expenditure for Rewards Task, with mixed effects modeling conducted to estimate the predictors of decision making. These model-derived, subject-specific coefficients were then clustered using k-means to test for the presence of discrete transdiagnostic subgroups with different profiles of reward, probability, and cost information utilization during effort-based decision making.RESULTS: An optimal 2-cluster solution was identified, with no significant differences in the distribution of diagnostic groups between clusters. Cluster 1 (n = 76) was characterized by overall lower information utilization during decision making than cluster 2 (n = 61). Participants in this low information utilization cluster were also significantly older and more cognitively impaired, and their utilization of reward, probability, and cost was significantly correlated with clinical amotivation, depressive symptoms, and cognitive functioning.CONCLUSIONS: Our findings revealed meaningful individual differences among participants with schizophrenia, depression, and healthy control participants in their utilization of cost-benefit information in the context of effortful decision making. These findings may provide insight into different processes associated with aberrant choice behavior and may potentially guide the identification of more individualized treatment targets for effort-based motivation deficits across disorders.
引用
收藏
页码:1041 / 1049
页数:9
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