A review of risky decision-making in psychosis-spectrum disorders

Purcell, J.; Herms, Emma; Morales, Jaime; Hetrick, William P.; Wisner, Krista; Brown, Joshua W.

doi:10.1016/j.cpr.2021.102112

Cited by 17 publications

(18 citation statements)

References 109 publications

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“…The purpose of this study was to characterize the associations between coping behavior and risky decisions among individuals with SZ as compared to HC. The current study con rms that the affective decision-making process of individuals with SZ is impaired, as was found in several previous studies [32]. Despite extensive investigation of risky decision-making, there is no consensus as to whether SZ disorders are associated with impaired performance on the IGT.…”

Section: Discussionsupporting

confidence: 88%

Relationship between coping styles and affective decision- making process among schizophrenia patients and healthy controls

Kertzman,

Rauchverger,

Waseem

et al. 2023

Preprint

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Psychiatry has shown a growing interest in the role of emotion in decision- making because emotion appears to make a substantial contribution to the decision- making process. There are no studies analyzing the relationship between affective decision-making and coping skills in schizophrenia (SZ). Our objective was to investigate the effect of coping skills on decision-making in SZ. We aimed to study the differences in coping styles, measured by the Behavioral Attitudes and Search Evaluation test (BASE), between good and bad performers on the Iowa Gambling Task (IGT). The 37 SZ participants and 46 healthy controls (HC) performed the IGT and BASE. Affective decision-making and coping skills are impaired among individuals with SZ compared with HC. A combination of two coping styles, such as preference for search activity and rejection of renunciation of search, was associated with better performance on IGT in both groups. We demonstrate that the association between coping style and performance on the IGT is not bidirectional. Coping strategies affect IGT performance, while performance on IGT does not affect coping style. In conclusion, participants with a more adaptive coping style were better decision-makers. One possible explanation for this association is that the more effective coping style may represent better functioning of the affective systems.

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Section: Discussionsupporting

confidence: 88%

Relationship between coping styles and affective decision- making process among schizophrenia patients and healthy controls

Kertzman,

Rauchverger,

Waseem

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Suboptimal designs may have biased the approximation of individual risk-taking behavior in previous studies (see also Kılıç et al, 2020 ; Yakobi and Danckert, 2021 ), as some studies already suggested ( Bishara et al, 2009 ; Purcell et al, 2017 ; De Groot and Thurik, 2018 ; Canning et al, 2022 ). For example, Maner et al (2007) reported effects of anxiety on risk-taking, while a later study did not find such association ( Buelow and Barnhart, 2017 ).…”

Section: Discussionmentioning

confidence: 98%

Appropriately Tuning Stochastic-Psychometric Properties of the Balloon Analog Risk Task

2022

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The Balloon Analog Risk Task (BART) allows to experimentally assess individuals’ risk-taking profiles in an ecologically sound setting. Many psychological and neuroscientific studies implemented the BART for its simplicity and intuitive nature. However, some issues in the design of the BART are systematically unconsidered in experimental paradigms, which may bias the estimation of individual risk-taking profiles. Since there are no methodological guidelines for implementing the BART, many variables (e.g., the maximum explosion probabilities, the rationale underlying stochastic events) vary inconstantly across experiments, possibly producing contrasting results. Moreover, the standard version of the BART is affected by the interaction of an individual-dependent, unavoidable source of stochasticity with a trial-dependent, more ambiguous source of stochasticity (i.e., the probability of the balloon to explode). This paper shows the most appropriate experimental choices for having the lowest error in the approximation of risk-taking profiles. Performance tests of a series of simulated data suggest that a more controlled, eventually non-stochastic version of the BART, better approximates original risk-taking profiles. Selecting optimal BART parameters is particularly important in neuroscience experiments to optimize the number of trials in a time window appropriate for acquiring neuroimaging data. We also provide helpful suggestions to researchers in many fields to allow the implementation of optimized risk-taking experiments using the BART.

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“…Future research will need to clarify the relationship between changes in neural activity patterns and the changes in age-related risk preference. Meanwhile, a large body of research links maladaptive risk preference and psychiatric illnesses such as substance abuse and gambling disorder, making it being proposed as a candidate behavioral marker for psychopathology [ 50 ]. Future research will need to clarify the relationship between changes in neural activity patterns and maladaptive risk preference of psychiatric illnesses.…”

Section: Discussionmentioning

confidence: 99%

Investigating the Neural Bases of Risky Decision Making Using Multi-Voxel Pattern Analysis

Wang

Peng

2022

Brain Sciences

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Choices between smaller certain reward and larger riskier reward are referred to as risky decision making. Numerous functional magnetic resonance imaging (fMRI) studies have investigated the neural substrates of risky decision making via conventional univariate analytical approaches, revealing dissociable activation of decisions involving certain rewards and risky rewards. However, it is still unclear how the patterns of brain activity predict the choice that the individual will make. With the help of multi-voxel pattern analyses, which is more sensitive for evaluating information encoded in spatially distributed patterns, we showed that fMRI activity patterns represent viable signatures of certain and risky choice and individual differences. Notably, the regions involved in representation of value and risk and cognitive control play prominent roles in differentiating certain and risky choices as well as individuals with distinct risk preference. These results deepen our understanding of the neural correlates of risky decision making as well as emphasize the important roles of regions involved in representation of value and risk cognitive control in predicting risky decision making and individual differences.

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A review of risky decision-making in psychosis-spectrum disorders

Cited by 17 publications

References 109 publications

Relationship between coping styles and affective decision- making process among schizophrenia patients and healthy controls

Relationship between coping styles and affective decision- making process among schizophrenia patients and healthy controls

Appropriately Tuning Stochastic-Psychometric Properties of the Balloon Analog Risk Task

Investigating the Neural Bases of Risky Decision Making Using Multi-Voxel Pattern Analysis

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