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Hypothalamic-pituitary-adrenal (HPA) axis activity has been identified as a mechanism through which daily life stress contributes to health problems and racial/ethnic health disparities. Stress-related changes in neuroendocrine function are evident as early as adolescence, but the ways in which promotive cultural factors may also contribute to variation in diurnal HPA activity have received little empirical attention. Grounded in cultural models of resilience, dual dimensions of Latino adolescents' cultural values (ethnic heritage and U.S. mainstream) were examined as promotive and protective factors in relation to their diurnal salivary cortisol patterns using ecological momentary assessment (N = 209; M age  = 18.10; 64.4% female). Participants provided 5 daily saliva samples for 3 days while completing corresponding electronic diary reports and using time-sensitive compliance devices (track caps, actigraphs). Results from 3-level growth curve models indicated that higher U.S. mainstream cultural values (e.g., self-reliance, competition, material success) were associated with higher average waking cortisol levels and a more rapid rate of diurnal cortisol decline (i.e., "steeper" slope). Regarding situational deviations from the diurnal rhythm (within-person differences), cortisol levels were higher in relation to diary-reported ongoing stress (vs. completed). Accounting for these situational differences in stress timing, a cross-level interaction (i.e., between-person difference in within-person process) indicated that higher perceived stress than usual was associated with lower cortisol levels for adolescents with stronger alignment to Latino ethnic heritage values (e.g., familism, respect, religiosity), compared to relatively higher cortisol levels for those with less alignment to these values. Results were consistent adjusting for participants' sex, immigrant generation, parents' education level, depressive symptoms, medication use, sleep duration, and other self-reported health behaviors. These findings join the growing science of cultural neurobiology by demonstrating the promotive and potentially regulating influence of cultural values in the daily HPA functioning of Latino adolescents., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

This study demonstrates the utility of combining principles of connectionist theory with a sophisticated statistical approach, structural equation modeling (SEM), to better understand brain-behavior relationships in studies using event-related potentials (ERPs). The models show how sequential phases of neural processing measured by averaged ERP waveform components can successfully predict task behavior (response time; RT) while accounting for individual differences in maturation and sex. The models assume that all ERP measures are affected by individual differences in physical and mental state that inflate measurement error. ERP data were collected from 154 neurotypical children (7-13 years, M = 10.22, SD = 1.48; 74 males) performing a cued Go/No-Go task during two separate sessions. Using SEM, we show a latent variable path model with good fit (e.g., χ 2 (51) = 56.20, p = .25; RMSEA = .03; CFI = .99; SRMR = .06) yielding moderate-to-large predictive coefficients from N1 through the E-wave latent variables (N1 β = -.29 → P2 β = -.44 → N2 β = .28 → P3 β =.64→ E-wave), which in turn significantly predicted RT (β =.34, p = .02). Age significantly related to N1 and P3 latent variables as well as RT (β =.31, -.58, & -.40 respectively), and Sex significantly related to the E-wave latent variable and RT (β =.36 & 0.21 respectively). Additionally, the final model suggested that individual differences in emotional and physical state accounted for a significant proportion of variance in ERP measurements, and that individual states systematically varied across sessions (i.e., the variance was not just random noise). These findings suggest that modeling ERPs as a system of inter-related processes may be a more informative approach to examining brain-behavior relationships in neurotypical and clinical groups than traditional analysis techniques., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Many researchers are utilizing event-related potentials (ERPs) to better understand brain-behavior relationships across development. The present study demonstrates how structural equation modeling (SEM) techniques can be used to refine descriptions of brain-behavior relationships in a sample of neurotypical children. We developed an exploratory latent variable model in which trait measures of maturation and attention are related to neural processing and task behaviors obtained during a cued Go/No-Go task. Model findings are compared to results of traditional analysis techniques such as bivariate correlations. The data suggest that more sophisticated statistical approaches are beneficial to accurately interpreting the nature of brain-behavior relationships., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

This study examines the contribution of the Responsive Classroom (RC) Approach, a set of teaching practices that integrate social and academic learning, to children's perceptions of their classroom, and children's academic and social performance over time. Three questions emerge: (a) What is the concurrent and cumulative relation between children's perceptions of the classroom and social and academic outcomes over time? (b) What is the contribution of teacher's use of RC practices to children's perceptions and social and academic outcomes? (c) Do children's perceptions of the classroom mediate the relation between RC teacher practices and child outcomes? Cross-lagged autoregressive structural equation models were used to analyze teacher and child-report questionnaire data, along with standardized test scores collected over 3 years from a sample of 520 children in grades 3-5. Results indicate a significant positive relation between RC teacher practices and child perceptions and outcomes over time. Further, children's perceptions partially mediated the relation between RC teacher practices and social competence. However, the models did not demonstrate that child perceptions mediated the relation between RC practices and achievement outcomes. Results are explained in terms of the contribution of teacher practices to children's perceptions and student performance.