Decreased sensitivity to risk levels in ventral stratum in major depressive disorder during risky decision-making

Gao, Feng; Fan, Jie; Xia, Jie; Soondrum, Tamini; Liu, Wanting; Du, Hongling; Zhu, Jiang; Tan, Chongqing; Zhu, Xiongzhao

doi:10.1016/j.jad.2020.12.131

Cited by 9 publications

(7 citation statements)

References 35 publications

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Section: Anxiety and Depression In Decision-makingmentioning

confidence: 75%

“…Moreover, our quantitative review revealed that methods used to describe these decision-making trends arrive at varying results (Alvares et al, 2014;Berns et al, 2008;Caceda et al, 2014;Han et al, 2012;Harle et al, 2017;Kishida et al, 2010;Mukherjee and Kable, 2014;Murphy et al, 2001Murphy et al, , 1999. Recent robust studies have been conducted that aim to provide insight into the degree to which decision-making is impaired across multiple disorders and using modern technologies (Gao et al, 2021;Ji et al, 2021). In a metanalysis evaluating the impact that anxiety and depression have on adolescent and youth decision-making using the multidisciplinary approach, it was found that poor decision-making would remain the overall outcome (Sonuga-Barke et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Multidisciplinary studies evaluating the impact of depression on decision-making in youth aged 18-25 years using economic tasks and functional magnetic resonance imaging, found that suboptimal behaviour persisted, with a decrease in sensitivity to risky decision-making (Gao et al, 2021). When evaluating risk attitudes in a clinical population with major depressive disorder this study found that as compared to the healthy cohort, the depressed group had decreased sensitivity to risk levels (Gao et al, 2021). Another economic decision-making study in university undergraduates assessing the effects of dopamine D2 receptor density using spontaneous eye blink rates found that healthy subjects who rated as depressive performed better than those subjects with lower depressive scores, where these decisionmakers were averse to losses, and therefore took less risk (Byrne et al, 2016).…”

Section: Anxiety and Depression In Decision-makingmentioning

confidence: 99%

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A multidisciplinary approach to evaluate the impact of emotional dysregulation on adolescent decision making

Weinrabe

Hickie

2021

Humanit Soc Sci Commun

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Evaluating decision-making during youth is a complex area of research. Multiple factors influence the young person’s subjective decision-making at this stage of development. Sub-optimal decision-making can have lifelong consequences. Longer adolescence, life stressors, drugs and alcohol and adverse events impact the young person, making them vulnerable to emerging mood disorders, such as anxiety and depression. Behavioural economics with its cognitive and multidisciplinary approach examines decision-making in youth with emerging mood disorders, but few empirical studies exist outside of a laboratory setting. Of the few that apply a multidisciplinary approach, most focus on other mental disorders. This review qualitatively evaluates the decision science literature to firstly, investigate complex factors influencing decision-making between adolescence and young adulthood. Secondly, it investigates studies that have applied either a cognitive or multidisciplinary approach to evaluate how young people choose. With respect to the studies identified, this review found that as opposed to depression, clinical anxiety (trait) and its relationship to youth decision-making has not been well researched using the multidisciplinary approach. Studies that did apply this approach found that mood disordered young individuals overall performed worse than healthy controls. This review argues that applying the multidisciplinary approach to study subjective decision-making can provide an alternative measure to empirically evaluate early stages of psychopathology in a youth population. Investigating the critical time points where the decision process itself impacts affective states in individuals could further elucidate some of the challenges currently faced in decision-making studies.

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Section: Anxiety and Depression In Decision-makingmentioning

confidence: 75%

Section: Discussionmentioning

confidence: 99%

Section: Anxiety and Depression In Decision-makingmentioning

confidence: 99%

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A multidisciplinary approach to evaluate the impact of emotional dysregulation on adolescent decision making

Weinrabe

Hickie

2021

Humanit Soc Sci Commun

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“…Among the fMRI articles, 32 were on healthy volunteers and 24 involved a clinical sample suffering either from Schizophrenia ( Potvin et al, 2018 ; Tikàsz et al, 2019 ; Purcell et al, 2023 ), Parkinson’s disease ( Rao et al, 2010 ), depressive disorders ( Gao et al, 2021 ; Ji X. et al, 2021 ), bipolar disorders ( Ji S. et al, 2021 ), traumatic brain ( Chiu et al, 2012 ), attention-deficit/hyperactivity ( Dir et al, 2019 ; Minchul and Jiwon, 2021 ), disruptive behavior disorders with histories of suicidal ideation ( Dir et al, 2020 ), type 1 diabetes ( Jorge et al, 2022 ), internet gaming disorder ( Qi et al, 2015 , 2016 ) or polysubstance users or dependencies such as alcohol, drug, or tobacco abuse ( Bogg et al, 2012 ; Claus and Hutchison, 2012 ; Galván et al, 2013 ; Kohno et al, 2014 ; Hulvershorn et al, 2015 ; Forster et al, 2016 , 2017 ; Claus et al, 2018 ; Burnette et al, 2020 ; Raymond et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…Other scores such as the number of burst balloons, the number of balloons resulting in a gain or the number of pumps on burst balloons were also indices of risk propensity ( Lannoy et al, 2017 ). In addition, the proportion of cash out or loss trials (i.e., number of cash out or losses trials divided by the number of total trials) was also calculated in 11 studies ( Qi et al, 2015 , 2016 ; Yu et al, 2016 ; Claus et al, 2018 , p. 20; Gu et al, 2018 ; Tikàsz et al, 2019 ; Gao et al, 2021 ; Ji S. et al, 2021 ; Yakobi and Danckert, 2021 ; Ren et al, 2023 ; Zhao et al, 2023 ). However, the pump ratio was used to assess the risk-taking propensity by dividing the number of gambling decisions (pump) by the total number of decisions (pump + cash out) for each participant in only one study ( Zhang and Gu, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

Adaptations of the balloon analog risk task for neuroimaging settings: a systematic review

Compagne,

Mayer,

Gabriel

et al. 2023

Front. Neurosci.

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IntroductionThe Balloon Analog Risk Task (BART), a computerized behavioral paradigm, is one of the most common tools used to assess the risk-taking propensity of an individual. Since its initial behavioral version, the BART has been adapted to neuroimaging technique to explore brain networks of risk-taking behavior. However, while there are a variety of paradigms adapted to neuroimaging to date, no consensus has been reached on the best paradigm with the appropriate parameters to study the brain during risk-taking assessed by the BART. In this review of the literature, we aimed to identify the most appropriate BART parameters to adapt the initial paradigm to neuroimaging and increase the reliability of this tool.MethodsA systematic review focused on the BART versions adapted to neuroimaging was performed in accordance with PRISMA guidelines.ResultsA total of 105 articles with 6,879 subjects identified from the PubMed database met the inclusion criteria. The BART was adapted in four neuroimaging techniques, mostly in functional magnetic resonance imaging or electroencephalography settings.DiscussionFirst, to adapt the BART to neuroimaging, a delay was included between each trial, the total number of inflations was reduced between 12 and 30 pumps, and the number of trials was increased between 80 and 100 balloons, enabling us to respect the recording constraints of neuroimaging. Second, explicit feedback about the balloon burst limited the decisions under ambiguity associated with the first trials. Third, employing an outcome index that provides more informative measures than the standard average pump score, along with a model incorporating an exponential monotonic increase in explosion probability and a maximum explosion probability between 50 and 75%, can yield a reliable estimation of risk profile. Additionally, enhancing participant motivation can be achieved by increasing the reward in line with the risk level and implementing payment based on their performance in the BART. Although there is no universal adaptation of the BART to neuroimaging, and depending on the objectives of a study, an adjustment of parameters optimizes its evaluation and clinical utility in assessing risk-taking.

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Risky decision-making in major depressive disorder: A three-level meta-analysis

Lu,

Zhao,

Wei

et al. 2024

International Journal of Clinical and Health Psychology

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Decreased sensitivity to risk levels in ventral stratum in major depressive disorder during risky decision-making

Cited by 9 publications

References 35 publications

A multidisciplinary approach to evaluate the impact of emotional dysregulation on adolescent decision making

A multidisciplinary approach to evaluate the impact of emotional dysregulation on adolescent decision making

Adaptations of the balloon analog risk task for neuroimaging settings: a systematic review

Risky decision-making in major depressive disorder: A three-level meta-analysis

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