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Understanding Effort-Cost Decision-Making Mechanisms in Mood and Psychotic Disorders: A Computational Modeling
Xiaoyu Dong1, Jessica A Cooper2, Erin K Moran1
1Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri.
Background:
Effort-cost decision making (ECDM) is a core component of motivational deficits across diagnostic boundaries, but the mechanisms underlying ECDM deficits are not yet fully understood. Importantly, similar behavioral phenotypes during ECDM paradigms may be associated with distinct underlying cognitive and affective processes across individuals.
Methods:
We used a person-centered modeling approach to examine individual decision-making phenotypes (systematic or nonsystematic decision making) during both physical and cognitive ECDM in 5 diagnostic groups: healthy control (n = 90), schizophrenia spectrum disorder (SSD) (n = 67), current major depression (n = 70), remitted major depression (n = 52), and bipolar I disorder (n = 64). We examined the associations between ECDM phenotype, cognitive functioning, motivation, and diagnostic group.
Results:
We found significant diagnostic group differences in the ECDM phenotype, such that individuals with an SSD, but not current or remitted major depression or bipolar disorder, were less likely to incorporate changing trialwise reward value information in cognitive effort exertion, with the same trend for physical effort. In all diagnostic groups, nonsystematic decision making was associated with lower cognitive functioning but not lower motivation. In addition, individuals with an SSD showed steeper effort discounting during both physical and cognitive ECDM paradigms.
Conclusions:
These findings point toward substantial individual differences in ECDM phenotypes both within and across diagnostic boundaries, suggesting that deficits in subjective value representation may be more prevalent in psychosis compared with in mood disorders.
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