Using Computational Phenotyping to Identify Divergent Strategies for Effort Allocation Across the Psychosis Spectrum.

BACKGROUND AND HYPOTHESIS: Disturbances in effort-cost decision-making have been highlighted as a potential transdiagnostic process underpinning negative symptoms in individuals with schizophrenia. However, recent studies using computational phenotyping show that individuals employ a range of strategies to allocate effort, and use of different strategies is associated with unique clinical and cognitive characteristics. Building on prior work in schizophrenia, this study evaluated whether effort allocation strategies differed in individuals with distinct psychotic disorders. STUDY DESIGN: We applied computational modeling to effort-cost decision-making data obtained from individuals with psychotic disorders (n = 190) who performed the Effort Expenditure for Rewards Task. The sample included 91 individuals with schizophrenia/schizoaffective disorder, 90 individuals with psychotic bipolar disorder, and 52 controls. STUDY RESULTS: Different effort allocation strategies were observed both across and within different disorders. Relative to individuals with psychotic bipolar disorder, a greater proportion of individuals with schizophrenia/schizoaffective disorder did not use reward value or probability information to guide effort allocation. Furthermore, across disorders, different effort allocation strategies were associated with specific clinical and cognitive features. Those who did not use reward value or probability information to guide effort allocation had more severe positive and negative symptoms, and poorer cognitive and community functioning. In contrast, those who only used reward value information showed a trend toward more severe positive symptoms. CONCLUSIONS: These findings indicate that similar deficits in effort-cost decision-making may arise from different computational mechanisms across the psychosis spectrum.

Differential deficits in social versus monetary reinforcement learning in schizophrenia: Associations with facial emotion recognition.

Despite evidence that individuals with schizophrenia (SZ) have an intact desire for social relationships, they have small social networks and report high levels of loneliness. Difficulty with reinforcement learning (RL), the ability to update behavior based on feedback, may inhibit the formation and maintenance of social relationships in SZ. However, impaired RL in SZ has largely been demonstrated via monetary tasks. Thus, it remains unclear whether SZ are similarly impaired in social and monetary RL, or whether social-specific factors may further inhibit their ability to learn from social feedback. Thirty-one individuals with SZ and 31 healthy controls (HCs) participated in a RL paradigm to test hypotheses about social versus monetary RL. SZ exhibited impaired RL compared to HCs in both social and monetary tasks. Further, a Group × Task interaction demonstrated that SZ was more impaired when learning from social than monetary reinforcement, F(1, 59) = 5.99, p = .017. This differential deficit to social RL was not accounted for by reported pleasure from social feedback, which did not differ between groups. Instead, SZ had poorer emotion recognition than HCs, t(1, 60) = 4.80, p < .001, particularly for negative emotions, and controlling for this eliminated the differential social RL impairment. These results suggest the possibility that difficulty recognizing social cues, especially those indicating negative feedback, may relate to a reduced ability to learn from others' feedback. Thus, future research could elucidate whether targeting these emotion recognition difficulties in treatment could serve as a potential mechanism for improving social functioning in SZ. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Correlates of real-world goal-directed behavior in schizophrenia.

BACKGROUND: Deficits in goal-directed behavior (i.e. behavior conducted to achieve a specific goal or outcome) are core to schizophrenia, difficult to treat, and associated with poor functional outcomes. Factors such as negative symptoms, effort-cost decision-making, cognition, and functional skills have all been associated with goal-directed behavior in schizophrenia as indexed by clinical interviews or laboratory-based tasks. However, little work has examined whether these factors relate to the real-world pursuit of goal-directed activities in this population. METHODS: This study aimed to fill this gap by using Ecological Momentary Assessment (four survey prompts per day for 1 week) to test hypotheses about symptom, effort allocation, cognitive, and functional measures associated with planned and completed goal-directed behavior in the daily lives of 63 individuals with schizophrenia. RESULTS: Individuals with schizophrenia completed more goal-directed activities than they planned [t(62) = -4.01, p < 0.001]. Motivation and pleasure (i.e. experiential) negative symptoms, controlling for depressive symptoms, negatively related to planned goal-directed behavior [odds ratio (OR) 0.92, p = 0.005]. Increased effort expenditure for high probability rewards (planned: OR 1.01, p = 0.034, completed: OR 1.01, p = 0.034) along with performance on a daily functional skills task (planned: OR 1.04, p = 0.002, completed: OR 1.03, p = 0.047) negatively related to both planned and completed goal-directed activity. CONCLUSIONS: Our results present correlates of real-world goal-directed behavior that largely align with impaired ability to make future estimations in schizophrenia. This insight could help identify targeted treatments for the elusive motivated behavior deficits in this population.

Negative and depressive symptoms differentially relate to real-world anticipatory and consummatory pleasure in schizophrenia.

It has been suggested that schizophrenia is associated with deficits in anticipatory but not consummatory pleasure, though there is mixed support for this hypothesis. As individuals with schizophrenia can experience both negative and depressive symptoms, symptom heterogeneity in this population could contribute to these mixed hedonic findings. Specifically, while some research suggests that negative symptoms of schizophrenia are related to reduced anticipatory but not consummatory pleasure, research on major depressive disorder suggests that depressive symptoms are associated with both decreased anticipatory and consummatory pleasure. Still, it is unclear whether depressive symptoms are associated with experiences of pleasure in schizophrenia as they are in major depressive disorder. Thus, the present study used Ecological Momentary Assessment (four prompts per day over one week) to investigate the unique relationships of negative and depressive symptoms with daily reports of real-world anticipatory and consummatory pleasure in 63 individuals with schizophrenia. Higher negative symptoms related to reduced anticipatory but not consummatory pleasure. On the other hand, higher depressive symptoms related to reductions in both anticipatory and consummatory pleasure. Overall, these results indicate that negative and depressive symptoms are differentially associated with hedonic experience in schizophrenia, and suggest the need to account for the severity of both these symptom types when examining pleasure in this population. Elucidating the nature of these symptom contributions to hedonic impairments could increase causal understanding of these deficits and contribute to the development of more targeted treatments to enhance motivation and pleasure in schizophrenia.

Dissociable mechanisms underpinning effort-cost decision-making across the psychosis spectrum.

Recent theoretical models propose that abnormal effort-cost decision-making (ECDM) likely has divergent underpinnings across mood and psychotic disorders. However, whether this same model applies to individuals across the psychosis spectrum, including individuals with affective psychosis, remains unclear. This study aimed to empirically test whether two component processes - working memory and reward learning - contribute to ECDM impairment across the psychosis spectrum. ECDM was assessed using the Effort Expenditure for Rewards Task in individuals with psychotic disorders (n = 190) and healthy controls (n = 52). Working memory was assessed using a Digit Sequencing Task and reward learning was assessed using a Probabilistic Reward Task. Relative to the control group, the psychosis group showed reduced willingness to expend effort for higher probability, higher value rewards. This effect was most pronounced in individuals with schizophrenia and schizoaffective disorder relative to individuals with psychotic bipolar disorder. Across the whole sample, better working memory but not reward learning predicted greater willingness to expend effort for higher probability rewards. However, the link between working memory and ECDM differed as a function of patient symptom profile. Specifically, working memory was only predictive of ECDM for individuals with less severe negative symptoms and minimal depressive symptoms. For individuals with more severe negative symptoms, poorer ECDM was instead predicted by deficits in reward learning. Although these findings reiterate the important link between working memory and ECDM in individuals with psychotic disorders, they also show that this link varies in accordance with the presence of prominent negative and depressive symptoms.