Recent work in our lab suggests that, during adolescence, asynchronous patterns of development across different brain systems produce a period of increased sensitivity to affective stimuli and diminished capacity for cognitive control. Especially in affectively salient peer contexts, this regulatory imbalance may contribute to adolescents'increased proclivity to engage in risky behaviors (e.g., substance use, unprotected sexual activity, and reckless driving) that significantly threaten their health and well-being. In separate work, we and others have demonstrated the potential to improve adults'cognitive control through targeted working memory (WM) training. In the present proposal, we aim to bridge these two lines of research by using behavioral and neuroimaging methods to test a novel application of WM training to promote adolescents'cognitive control capabilities, and thus reduce risk taking. We hypothesize that adolescents'control over impulsive and automatic behaviors, especially in affectively salient contexts, can be improved through a targeted program of adaptive complex WM training. We further hypothesize that such improved cognitive control will engender trained adolescent participants with enhanced deliberative decision making skills, and hence reduce their proclivity toward risk taking. Using fMRI, we will characterize the mechanisms that underlie these behavioral changes. The PI and co-PI have a recent history of successful collaboration, and combined expertise in the cognitive neuroscience of cognitive control and the psychosocial development of adolescents and young adults. The proposed studies have the potential to greatly inform theoretical models of adolescent behavior, to yield fundamental insights into the processes that affect adolescent decision-making, to determine whether the maturational timetable of cognitive control can be accelerated through training, and to yield a low-cost intervention for reducing adolescent risk behavior.
Excessive risk-taking behavior (substance use, reckless driving, crime, etc.) is the most significant threat to adolescents'health and well-being. Adolescent risk-taking frequently occurs in affectively charged contexts, likely as a result of discordant maturation in the cognitive control and reward processing brain systems that influence decision making. The proposed studies will deploy behavioral and fMRI methodologies to examine the feasibility of using targeted working memory (WM) training to improve brain function in regions associated with cognitive control, and hence increase adolescent'capability to exert self-regulatory control over risky decision making.
| Smith, Ashley R; Rosenbaum, Gail M; Botdorf, Morgan A et al. (2018) Peers influence adolescent reward processing, but not response inhibition. Cogn Affect Behav Neurosci 18:284-295 |
| Rosenbaum, Gail M; Venkatraman, Vinod; Steinberg, Laurence et al. (2018) The Influences of Described and Experienced Information on Adolescent Risky Decision Making. Dev Rev 47:23-43 |
| Rosenbaum, Gail M; Botdorf, Morgan A; Patrianakos, Jamie L et al. (2017) Working Memory Training in Adolescents Decreases Laboratory Risk Taking in the Presence of Peers. J Cogn Enhanc 1:513-525 |
| Botdorf, Morgan; Rosenbaum, Gail M; Patrianakos, Jamie et al. (2017) Adolescent risk-taking is predicted by individual differences in cognitive control over emotional, but not non-emotional, response conflict. Cogn Emot 31:972-979 |
| Morrison, Alexandra B; Rosenbaum, Gail M; Fair, Damien et al. (2016) Variation in strategy use across measures of verbal working memory. Mem Cognit 44:922-36 |
| Strang, Nicole M; Chein, Jason M; Steinberg, Laurence (2013) The value of the dual systems model of adolescent risk-taking. Front Hum Neurosci 7:223 |
