Abstract
Understanding adolescent decision-making is significant for informing basic models of neurodevelopment as well as for the domains of public health and criminal justice. System-based theories posit that adolescent decision-making is guided by activity amongst reward and control processes. While successful at explaining behavior, system-based theories have received inconsistent support at the neural level, perhaps because of methodological limitations. Here, we used two complementary approaches to overcome said limitations and rigorously evaluate system-based models. Using decision-level modeling of fMRI data from a risk-taking task in a sample of 2000+ decisions across 51 human adolescents (25 females, mean age = 15.00 years), we find support for system-based theories of decision-making. Neural activity in lateral prefrontal cortex and a multivariate pattern of cognitive control both predicted a reduced likelihood of risk-taking, whereas increased activity in the nucleus accumbens predicted a greater likelihood of risk-taking. Interactions between decision-level brain activity and age were not observed. These results garner support for system-based accounts of adolescent decision-making behavior.
SIGNIFICANCE STATEMENT:
Adolescent decision-making behavior is of great import for basic science, and carries equally consequential implications for public health and criminal justice. While dominant psychological theories seeking to explain adolescent decision-making have found empirical support, their neuroscientific implementations have received inconsistent support. This may be partly due to statistical approaches employed by prior neuroimaging studies of system-based theories. We used brain modeling—an approach that predicts behavior from brain activity—of univariate and multivariate neural activity metrics to better understand how neural components of psychological systems guide decision behavior in adolescents. We found broad support for system-based theories such that neural systems involved in cognitive control predicted a reduced likelihood to make risky decisions, whereas value-based systems predicted greater risk-taking propensity.
Footnotes
The authors declare no competing interests.
Preparation of this manuscript was supported by a National Science Foundation Graduate Research Fellowship (2016220797) and a National Institutes of Health Predoctoral T32 Fellowship to JFGM, and generous funds from the UCLA academic senate, UCLA Hellman Fellows Fund, and an NSF CAREER grant (1848004), to JAS. We thank Drs. Jennifer Pfeifer and Shannon Peake for sharing the Yellow Light Game with us. We appreciate the efforts of Austin Blake, Alejandra Delgado, Zoey Dew, Milagro Escobar, Elizabeth Gaines, Agatha Handojo, Ciara Mandich, Nora Ngo, Sakina Qadir, Emily Towner, Claire Waller, and Tarran Walter in participant recruitment and data collection. We are also grateful for Maria Calderon Leon’s contributions to a relevant literature search. We are grateful for reflections on the study concept from Dr. Jamie Feusner, Dr. Andrew Fuligni, Dr. Adriana Galván, Amanda E. Baker, Zoe Guttman, and Dr. Monica Rosenberg’s Cognition, Attention, and Brain Lab at the University of Chicago.
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