13 research outputs found

    At risk of being risky: The relationship between "brain age" under emotional states and risk preference.

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    Developmental differences regarding decision making are often reported in the absence of emotional stimuli and without context, failing to explain why some individuals are more likely to have a greater inclination toward risk. The current study (N=212; 10-25y) examined the influence of emotional context on underlying functional brain connectivity over development and its impact on risk preference. Using functional imaging data in a neutral brain-state we first identify the "brain age" of a given individual then validate it with an independent measure of cortical thickness. We then show, on average, that "brain age" across the group during the teen years has the propensity to look younger in emotional contexts. Further, we show this phenotype (i.e. a younger brain age in emotional contexts) relates to a group mean difference in risk perception - a pattern exemplified greatest in young-adults (ages 18-21). The results are suggestive of a specified functional brain phenotype that relates to being at "risk to be risky.

    Consider the Source: Adolescents and Adults Similarly Follow Older Adult Advice More than Peer Advice

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    <div><p>Individuals learn which of their actions are likely to be rewarded through trial and error. This form of learning is critical for adapting to new situations, which adolescents frequently encounter. Adolescents are also greatly influenced by their peers. The current study tested the extent to which adolescents rely on peer advice to guide their actions. Adolescent and young adult participants completed a probabilistic learning task in which they chose between four pairs of stimuli with different reinforcement probabilities, with one stimulus in each pair more frequently rewarded. Participants received advice about two of these pairs, once from a similarly aged peer and once from an older adult. Crucially, this advice was inaccurate, enabling the dissociation between experience-based and instruction-based learning. Adolescents and adults learned equally well from experience and no age group difference was evident in the overall influence of advice on choices. Surprisingly, when considering the source of advice, there was no evident influence of peer advice on adolescent choices. However, both adolescents and adults were biased toward choosing the stimulus recommended by the older adult. Contrary to conventional wisdom, these data suggest that adolescents may prioritize the advice of older adults over that of peers in certain decision-making contexts.</p></div

    Test phase advice preference.

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    <p>For equally rewarded stimuli (D, F and H had a 30% reward probability), both age groups show a preference for the adult recommended (H), but not the peer recommended (F) stimulus, when compared to the uninstructed (D) stimulus. Error bars represent SEM.</p

    Learning phase performance.

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    <p>Choice performance was measured as the percentage of trials in which participants selected the most frequently rewarded stimulus of each pair (% optimal choice), presented in 10-trial blocks. Both adolescents (black) and adults (white) progressively learned the estimated value of the stimuli; by the end of the learning phase, they were significantly better than chance at choosing the optimal stimuli. Error bars represent SEM.</p

    Test phase instruction biases.

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    <p>Older adult advice biased both adolescents and adults, while neither group were biased by peer advice. Error bars represent SEM.</p

    Peer and older adult instruction biases.

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    <p>Instruction bias scores were calculated by comparing performance on equally valued but differentially instructed pairs, averaging an easier (80% versus 30%) and harder (30% versus 20%) comparison. Peer and older adult instruction bias scores quantified the extent to which either source of advice biased participants’ baseline tendency to choose the higher valued option.</p

    Individual differences in frontolimbic circuitry and anxiety emerge with adolescent changes in endocannabinoid signaling across species.

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    Anxiety disorders peak in incidence during adolescence, a developmental window that is marked by dynamic changes in gene expression, endocannabinoid signaling, and frontolimbic circuitry. We tested whether genetic alterations in endocannabinoid signaling related to a common polymorphism in fatty acid amide hydrolase (FAAH), which alters endocannabinoid anandamide (AEA) levels, would impact the development of frontolimbic circuitry implicated in anxiety disorders. In a pediatric imaging sample of over 1,000 3- to 21-y-olds, we show effects of the FAAH genotype specific to frontolimbic connectivity that emerge by ∼12 y of age and are paralleled by changes in anxiety-related behavior. Using a knock-in mouse model of the FAAH polymorphism that controls for genetic and environmental backgrounds, we confirm phenotypic differences in frontoamygdala circuitry and anxiety-related behavior by postnatal day 45 (P45), when AEA levels begin to decrease, and also, at P75 but not before. These results, which converge across species and level of analysis, highlight the importance of underlying developmental neurobiology in the emergence of genetic effects on brain circuitry and function. Moreover, the results have important implications for the identification of risk for disease and precise targeting of treatments to the biological state of the developing brain as a function of developmental changes in gene expression and neural circuit maturation
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