Test-retest reliability of brain responses to risk-taking during the balloon analogue risk task

Li, Xiong; Pan, Yu; Fang, Zhuo; Lei, Hui; Zhang, Xiaocui; Shi, Hui; Ma, Ning; Raine, Philip; Wetherill, Reagan R.; Kim, Junghoon; Wan, Yan; Rao, Hengyi

doi:10.1016/j.neuroimage.2019.116495

Cited by 29 publications

(30 citation statements)

References 86 publications

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“…The neutral condition used in these studies differs from the neutral condition in the present study, a no-change outcome (for the PMCP sample only), which might be interpreted as a positive or negative outcome, depending on whether the trial involved not-losing or notwinning, respectively. In contrast, other studies have examined the short-term reliability of gain vs. loss contrasts, observing lower reliabilities in the striatum (ICC = -0.13 -0.45) (Elliott et al, 2020;Fliessbach et al, 2010;Li et al, 2020). These results are congruent with our own results, suggesting that fMRI contrasts will be less stable if the cognitive processes underlying trialtypes are too similar.…”

Section: Contrasts Of Active Conditions Are Less Stablesupporting

confidence: 87%

The longitudinal stability of fMRI activation during reward processing in adolescents and young adults

Baranger

Lindenmuth

Nance

et al. 2020

Preprint

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BackgroundThe use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable over time.MethodsIn two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 153, 100% female & 100% male, ages 15-21 & 20-22, 2-4 scans & 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation.ResultsOverall, stability (ICC; intra-class correlation) across 1-2 years was modest. In both samples, contrasts of an active state relative to a baseline were more stable (e.g., Win>Baseline; mean ICC = 0.13 – 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 – 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples.ConclusionsThese results show that functional neuroimaging activation to reward has modest stability over 1-2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies.

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Section: Contrasts Of Active Conditions Are Less Stablesupporting

confidence: 87%

The longitudinal stability of fMRI activation during reward processing in adolescents and young adults

Baranger

Lindenmuth

Nance

et al. 2020

Preprint

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“…Furthermore, reliability of the brain signal itself may attenuate brain-outcome associations (Elliott et al, 2020). Contrast analyses for risk-related activation differences in the BART have been reported to elicit reliable activation differences at the level of the group and the individual over time, especially in risk matrix regions (Korucuoglu et al, 2020;Li et al, 2020). However, these studies of the BART only included balloons with a capacity of 12, and as our results suggested, risk-taking behavior is negatively associated with balloon capacity.…”

Section: Discussionmentioning

confidence: 55%

“…Owing to the oftenneglected lack of a match between group-level and individual-level effects (Blanco et al, 2011;Bornstein et al, 2017;Fisher et al, 2018), any observed convergence of average neural function does not necessarily indicate individual-level consistency. Initial support for this argument comes from studies on the reliability of neural functional signal in response to various cognitive or decision-making paradigms, which suggest that the mapping between group-and individuallevel activation differences is far from optimal (Fliessbach et al, 2010;Elliott et al, 2020;Korucuoglu et al, 2020;Li et al, 2020). If the ultimate endpoints of interest pertain to individuals, it may be misguided to expect group-level results to reflect the individual level.…”

Section: Introductionmentioning

confidence: 99%

Brain-outcome associations for risk taking depend on the measures used to capture individual differences

Tisdall¹,

Frey

Horn³

et al. 2018

Preprint

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Biological markers of risk taking are prominent targets for clinical, developmental, and longitudinal research. With respect to brain function, several regions are considered central for risky choice, yet insights into the neural basis of risk taking stem primarily from studies using single measures. Considering that recent studies suggested different risk-taking measures cannot be used interchangeably, it is currently unclear whether core regions of the brain involved in risk show a measure-dependent functional dissociation. Reporting results from the imaging subsample (N = 116 young adults) of the Basel–Berlin Risk Study, we examine (1) the conjunction of average neural representations of experience-based risky choice in the Balloon Analogue Risk Task and description-based risky choice in monetary gambles, (2) the preservation of individual activation differences across the two measures, and (3) the explanatory power of the neural correlates of risky choice for behavior. Our results suggest common group-level activation increases in nucleus accumbens, inconsistent individual differences in regional activation across measures, and limited explanatory power of neural indices for behavior, within and across measures. Our findings help clarify commonalities and differences between the neural representation of experienced and described risk, and thus should inform research designs targeting individual differences in risk taking.

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“…Furthermore, the reliability of the brain signal itself may also attenuate brain–behavior associations ( Elliott et al, 2020 ). For example, reliable group- and individual-level risk-related activation has been reported for the BART, especially in canonical regions ( Korucuoglu et al, 2020 ; Li et al, 2020 ). However, the reported reliability estimates are based on BART implementations that included only one type of balloon, and as our behavioral analyses suggested, balloon capacity affects risk-taking behavior.…”

Section: Discussionmentioning

confidence: 99%

“…RQ2: To what extent are functional markers positively correlated across the two fMRI measures at the level of the individual? Owing to the often-neglected lack of a match between group- and individual-level effects ( Blanco et al, 2011 ; Bornstein et al, 2017 ; Fisher et al, 2018 ), any observed convergence of group-level neural function does not necessarily indicate individual-level consistency ( Fliessbach et al, 2010 ; Elliott et al, 2020 ; Korucuoglu et al, 2020 ; Li et al, 2020 ). RQ3: To what extent do brain–behavior associations change as a function of how risk-related neural activation is elicited and risk-related outcomes are assessed?…”

Section: Introductionmentioning

confidence: 99%

Brain–Behavior Associations for Risk Taking Depend on the Measures Used to Capture Individual Differences

Tisdall

Frey

Horn

et al. 2020

Front. Behav. Neurosci.

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Maladaptive risk taking can have severe individual and societal consequences; thus, individual differences are prominent targets for intervention and prevention. Although brain activation has been shown to be associated with individual differences in risk taking, the directionality of the reported brain–behavior associations is less clear. Here, we argue that one aspect contributing to the mixed results is the low convergence between risk-taking measures, especially between the behavioral tasks used to elicit neural functional markers. To address this question, we analyzed within-participant neuroimaging data for two widely used risk-taking tasks collected from the imaging subsample of the Basel–Berlin Risk Study ( N = 116 young human adults). Focusing on core brain regions implicated in risk taking (nucleus accumbens, anterior insula, and anterior cingulate cortex), for the two tasks, we examined group-level activation for risky versus safe choices, as well as associations between local functional markers and various risk-related outcomes, including psychometrically derived risk preference factors. While we observed common group-level activation in the two tasks (notably increased nucleus accumbens activation), individual differences analyses support the idea that the presence and directionality of associations between brain activation and risk taking varies as a function of the risk-taking measures used to capture individual differences. Our results have methodological implications for the use of brain markers for intervention or prevention.

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Test-retest reliability of brain responses to risk-taking during the balloon analogue risk task

Cited by 29 publications

References 86 publications

The longitudinal stability of fMRI activation during reward processing in adolescents and young adults

The longitudinal stability of fMRI activation during reward processing in adolescents and young adults

Brain-outcome associations for risk taking depend on the measures used to capture individual differences

Brain–Behavior Associations for Risk Taking Depend on the Measures Used to Capture Individual Differences

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