Neural response to rewards predicts risk-taking in late but not early adolescent females

Developmental Cognitive Neuroscience, Journal Year: 2020, Volume and Issue: 45, P. 100808 - 100808

Published: June 21, 2020

Risk-taking peaks in adolescence and reflects, part, hyperactivity of the brain's reward system. However, it has not been established whether association between reward-related brain activity risk-taking varies across adolescence. The present study investigated how neural sensitivity is associated with laboratory a sample female adolescents as function age. Sixty-three ages 10-19 completed Balloon Analogue Risk Task, measure behavior, well forced choice monetary gambling task while an electroencephalogram (EEG) was recorded. This elicits positivity (RewP), frontocentral event-related potential component that sensitive to feedback signaling reward. We observed negative quadratic age risk-taking, such those early late had lower relative compared mid-adolescence, peaking at around 15 years In predicting we interaction RewP, but greater propensity for risk later These findings suggest females, response rewards important factor only

Language: Английский

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Adolescent risk-taking likelihood, risk perceptions, and benefit perceptions across domains

Personality and Individual Differences, Journal Year: 2024, Volume and Issue: 231, P. 112806 - 112806

Published: Aug. 13, 2024

Adolescents are often described as notorious risk-takers. However, adolescents do not always take risks and risk-taking may vary across domains. Furthermore, there large individual differences. Certain clinical groups, such with ADHD, be more likely to risks. In two studies we examined these domain-specific differences using the adolescent Domain-Specific Risk-Taking (DOSPERT)-questionnaire, which assesses adolescents' self-reported likelihood, perceptions of risk, benefits ('returns'). how likelihood is informed by risk- benefit-perceptions, i.e., 'risk-return' weighing. a community-sample study ( N = 361, 12–25 years), tested domain-specificity age, observed peak in late adolescence Health-Safety domain only. Perceived were heightened, perceived attenuated, mid-to-late for Health-Safety, Recreational, Ethical second study, compared boys ADHD 81) controls 99; 12–20 years). rated higher likelihoods Social Risk-return models both revealed that effects (Health-Safety) (Recreational) on most pronounced varied age. Together, impacted returns, age-related differences, should studied domain-specifically. • We five Community sample showed developmental trends. reported social likelihood. Both risk versus return (benefit) Adolescents' warrant investigation.

Language: Английский

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Neural tracking of subjective value under riskand ambiguity in adolescence

Cognitive Affective & Behavioral Neuroscience, Journal Year: 2019, Volume and Issue: 19(6), P. 1364 - 1378

Published: Oct. 25, 2019

Abstract Although many neuroimaging studies on adolescent risk taking have focused brain activation during outcome valuation, less attention has been paid to the neural correlates of choice valuation. Subjective valuation may be particularly influenced by whether a presents (known probabilities) or ambiguity (unknown probabilities), which rarely studied in developmental samples. Therefore, we examined tracking subjective value under and large sample adolescents ( N = 188, 12–22 years). Specifically, investigated regions tracked coding ambiguity. A model-based approach estimate individuals’ attitudes showed prominent variation aversions Furthermore, participants subjectively experienced ambiguous options as being riskier than risky options. was coded ventral striatum superior parietal cortex. dorsolateral prefrontal cortex (PFC) temporal gyrus activation. Finally, overlapping dorsomedial PFC observed for both conditions. Overall, this is first study chart patterns an sample, shows that building blocks processing are already present early adolescence. highlight potential combining behavioral modeling with fMRI investigating adolescence, ultimately aid understanding who takes risks why.

Language: Английский

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Are individual differences quantitative or qualitative? An integrated behavioral and fMRI MIMIC approach

NeuroImage, Journal Year: 2019, Volume and Issue: 202, P. 116058 - 116058

Published: July 26, 2019

In cognitive neuroscience there is a growing interest in individual differences. We propose the Multiple Indicators Causes (MIMIC) model of combined behavioral and fMRI data to determine whether such differences are quantitative or qualitative nature. A simulation study revealed MIMIC have adequate power for this goal, parameter recovery be satisfactory. The was illustrated with re-analysis Van Duijvenvoorde et al. (2016) Blankenstein (2018) decision making data. This showed originate strategies. Parameters indicated some individuals use an expected value strategy, while others used loss minimizing distinguished by vmPFC activity. Individual were explained risk aversion. that more averse preferred safe over risky choices, as predicted heightened advocate using empirically determine, rather than assume, nature datasets.

Language: Английский

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Distinct neural dynamics underlying risk and ambiguity during valued‐based decision making

Psychophysiology, Journal Year: 2022, Volume and Issue: 60(3)

Published: Nov. 13, 2022

Abstract Uncertainty can be fractioned into risk and ambiguity psychologically neurobiologically. However, whether how are dissociated in terms of neural dynamics during value‐based decision making remain elusive. The present event‐related potential (ERP) study addressed these issues by asking participants to perform a wheel‐of‐fortune task either risky context (Experiment 1; N = 30) where outcome probability was known or an ambiguous 2; unknown. Results revealed that the cue‐P3 more enhanced for versus anticipatory phase, whereas RewP increased than consummatory phase. Moreover, SPN fb‐P3 components were further modulated levels ambiguity, respectively. These findings demonstrate dissociation between which unfolds from phase

Language: Английский

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