Research on adolescence has largely focused on the particular biological and neural changes that place teens at risk for negative outcomes linked to increases in sensation-seeking and risky behavior. However, there is a growing interest in the adaptive function of adolescence, with work highlighting the dual nature of adolescence as a period of potential risk and opportunity. We examined how behavioral and neural sensitivity to risk and reward varies as a function of age using the Balloon Analog Risk Task. Seventy-seven children and adolescents (ages 8–17 years) completed the Balloon Analog Risk Task during an fMRI session. Results indicate that adolescents show greater learning throughout the task. Furthermore, older participants showed increased neural responses to reward in the OFC and ventral striatum, increased activation to risk in the mid-cingulate cortex, as well as increased functional OFC–medial PFC coupling in both risk and reward contexts. Age-related changes in regional activity and interregional connectivity explain the link between age and increases in flexible learning. These results support the idea that adolescents’ sensitivity to risk and reward supports adaptive learning and behavioral approaches for reward acquisition.

There has been a large spike in longitudinal fMRI studies in recent years, and so it is essential that researchers carefully assess the limitations and challenges afforded by longitudinal designs. In this article, we provide an overview of important considerations for longitudinal fMRI research in developmental samples, including task design, sampling strategies, and group-level analyses. We first discuss considerations for task designs, weighing the pros and cons of many commonly used tasks, as well as outlining how the tasks may be impacted by repeated exposure. Secondly, we review the types of group-level analyses that can be conducted on longitudinal fMRI data, analyses which must account for repeated measures. Finally, we review and critique recent longitudinal studies that have emerged in the past few years.

The transition from childhood to adolescence is marked by increasingly sophisticated social cognitive abilities that are paralleled by significant functional maturation of the brain. However, the role of social and neurobiological development in facilitating age differences in prosocial behavior remains unclear. Using a cross-sectional sample of children and adolescents (n = 51; 8–16 years), we examined the age-related correlates of prosocial behavior. Youth made costly and non-costly prosocial decisions to anonymous peers during a functional magnetic resonance imaging scan. Among a subsample of youth who made prosocial decisions (n = 35), we found quadratic age differences in neural activation that peaked in early adolescence relative to childhood and older adolescence. In particular, early adolescents showed heightened recruitment of the posterior superior temporal sulcus (pSTS), temporal pole and inferior frontal gyrus (IFG) when engaging in costly prosocial behavior at the expense of gaining a reward, whereas they evoked heightened pSTS and dorsolateral prefrontal cortex/IFG activation when engaging in costly vs non-costly forms of prosocial behavior. Given that we did not find age differences in prosocial behavior, this suggests that early adolescents show unique patterns of brain activation to inform similar levels of prosocial behavior.

Decision-making processes rarely occur in isolation. Rather, representations are updated constantly based on feedback to past decisions and actions. However, previous research has focused on the reaction to feedback receipt itself, instead of examining how feedback information is integrated into future decisions. In the current study, we examined differential neural sensitivity during risk decisions following positive versus negative feedback in a risk-taking context, and how this differential sensitivity is linked to adolescent risk behavior. Fifty-eight adolescents (ages 13–17 years) completed the Balloon Analogue Risk Task (BART) during an fMRI session and reported on their levels of risk-taking behavior. Results show that reduced medial PFC (mPFC) response following negative versus positive feedback is associated with fewer reductions in task-based risky decisions following negative feedback, as well as increased self-reported risk-taking behavior. These results suggest that reduced neural integration of negative feedback into during future decisions supports risky behavior, perhaps by discounting negative relative to positive feedback information when making subsequent risky decisions.

Adolescents have an increased need to regulate their behavior as they gain access to opportunities for risky behavior; however, cognitive control systems necessary for this regulation remain relatively immature. Parents can impact their adolescent child's abilities to regulate their behavior and engagement in risk taking. Since adolescents undergo significant neural change, negative parent-child relationship quality may impede or alter development in prefrontal regions subserving cognitive control. To test this hypothesis, 20 adolescents completed a go/nogo task during two fMRI scans occurring 1 year apart. Adolescents reporting greater family conflict and lower family cohesion showed longitudinal increases in risk-taking behavior, which was mediated by longitudinal increases in left VLPFC activation during cognitive control. These results underscore the importance of parent-child relationships during early adolescence, and the neural processes by which cognitive control may be derailed and lead to increased risk taking.

Highlights Adolescents conform to peers’ prosocial behavior. High testosterone and low cortisol are associated with prosocial conformity. Prosocial conformity is linked to activation in social-reward brain regions. Brain activation during prosocial conformity is linked to high testosterone and low cortisol.

While it is well understood that the brain experiences changes across short-term experience/learning and long-term development, it is unclear how these two mechanisms interact to produce developmental outcomes. Here we test an interactive model of learning and development where certain learning-related changes are constrained by developmental changes in the brain against an alternative development-as-practice model where outcomes are determined primarily by the accumulation of experience regardless of age. Participants (8–29 years) participated in a three-wave, accelerated longitudinal study during which they completed a feedback learning task during an fMRI scan. Adopting a novel longitudinal modeling approach, we probed the unique and moderated effects of learning, experience, and development simultaneously on behavioral performance and network modularity during the task. We found nonlinear patterns of development for both behavior and brain, and that greater experience supported increased learning and network modularity relative to naïve subjects. We also found changing brain-behavior relationships across adolescent development, where heightened network modularity predicted improved learning, but only following the transition from adolescence to young adulthood. These results present compelling support for an interactive view of experience and development, where changes in the brain impact behavior in context-specific fashion based on developmental goals.

The development of cognitive control during adolescence is paralleled by changes in the function of the lateral prefrontal cortex (PFC). Using a three-wave longitudinal neuroimaging design (N = 22, M = 13.08 years at Wave 1), this study examined if youth's stereotypes about teens modulate changes in their neural activation during cognitive control. Participants holding stereotypes of teens as irresponsible in the family context (i.e., ignoring family obligations) in middle school showed increases in bilateral ventrolateral PFC activation during cognitive control over the transition to high school, which was associated with increases in risk taking. These findings provide preliminary evidence that youth's conceptions of adolescence play a role in neural plasticity over this phase of development.