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Adolescent Decision-Making Efficiency Maintains Despite Sleep Quality Variation: A Drift Diffusion Model Analysis.

Poster Session B - Sunday, March 30, 2025, 8:00 – 10:00 am EDT, Back Bay Ballroom/Republic Ballroom

Belkairys Taveras Tapia1,2, Yue Zhang4, Alexander S. Weigard4, Edward Huntley5, Colter Mitchell5, Luke W. Hyde4,5, Christopher S. Monk3,4,5; 1Hunter College, CUNY, New York, NY, 2BP-ENDURE Program Hunter College CUNY, New York, NY, 3Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, 4University of Michigan, Ann Arbor, MI, 5Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI,

Poor sleep has been associated with slower information processing in adolescence, leading to impaired decision-making and difficulties in evaluation tasks. However, little is known about the impact of poor sleep quality on the underlying cognitive decision-making processes, particularly under emotionally-salient conditions. Here, we analyzed decision-making beyond reaction time and accuracy using the Drift Diffusion Model (DDM), a computational framework characterized by underlying decision-making processes. Participants (n = 126; ages 15-17; 76.9% Black; 57.1% female) from the Future of Families and Child Wellbeing Study, a population-based longitudinal cohort study with a representation of marginalized youths, completed an emotional face-gender identification task during functional MRI scanning. Reaction time and accuracy data from the task was modeled in the DDM with the Dynamic Model of Choice package in R. Parameters estimated from the DDM included drift rate, response boundary, starting point, and non-decision time. Sleep quality of the month before data collection was measured using the Pittsburgh Sleep Quality Index (PSQI). We hypothesized that poor sleep quality would be negatively associated to decision-making as suggested by low drift rate, increased boundary separation, and slower non-decision time while expecting no changes in bias. Age, sex, and race were included as covariates in analyses. Zero-order correlations showed no significant association between sleep quality and decision-making based on the DDM parameters (ps > .387). This could be due to limitations in sample size and when sleep quality was assessed. This work contributes to our understanding of how sleep influences information processing under affective contexts in adolescents.

Topic Area: THINKING: Decision making

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March 29–April 1  |  2025

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