Ethics-Relevant Values as Antecedents of Personality Change: Longitudinal Findings from the Life and Time Study

What leads personality to develop in adulthood? Values, guiding principles that apply across contexts, may capture motivation for growth and change. An essentialist trait perspective posits that personality changes only as a result of organic factors. But evidence suggests that psychosocial factors also influence personality change, especially during young adulthood. In the Life and Time study of sources of personality change in adulthood, we specifically explore ethically-relevant value priorities, those related to the relative prioritization of narrow self-interest over the concerns of a larger community. According to Rollo May (1967), “mature values”, including aspects of both self-transcendence and self-determination, should serve to diminish or prevent neurotic anxiety. This is consistent with research on materialism, which is associated with lower well-being. An index based on May’s proposal and several related constructs (materialism, unmitigated self-interest, collectivism and individualism) are tested longitudinally as possible antecedents of Big Five/Six personality trait change using bivariate LCMSR models in a national community sample (N = 864 at Time 1). Contrary to an essentialist trait perspective, these value priorities more often preceded change in personality traits than vice-versa. Somewhat consistent with May’s theory, higher “mature” values preceded higher openness (statistically significant at the p < .005 level). Higher vertical individualism significantly preceded lower compassion, intellect and openness. At the suggestive (p < .05) level, higher unmitigated self-interest preceded lower conscientiousness, higher vertical individualism preceded higher volatility, higher mature values preceded higher honesty/propriety and politeness, higher horizontal collectivism preceded higher orderliness, agreeableness, and assertiveness and lower intellect, and higher horizontal individualism preceded lower withdrawal. In two of three cases, suggestive personality-as-antecedent-of-values-change effects were reciprocal with the values-effects: higher conscientiousness scores reciprocally preceded lower unmitigated self-interest, and higher volatility higher vertical individualism. No significant or suggestive “stand-alone”, non-reciprocal personality on values effects were found

Developmental Changes in Dynamic Functional Connectivity From Childhood Into Adolescence

The longitudinal study of typical neurodevelopment is key for understanding deviations due to specific factors, such as psychopathology. However, research utilizing repeated measurements remains scarce. Resting-state functional magnetic resonance imaging (MRI) studies have traditionally examined connectivity as ‘static’ during the measurement period. In contrast, dynamic approaches offer a more comprehensive representation of functional connectivity by allowing for different connectivity configurations (time varying connectivity) throughout the scanning session. Our objective was to characterize the longitudinal developmental changes in dynamic functional connectivity in a population-based pediatric sample. Resting-state MRI data were acquired at the ages of 10 (range 8-to-12, n = 3,327) and 14 (range 13-to-15, n = 2,404) years old using a single, study-dedicated 3 Tesla scanner. A fully-automated spatially constrained group-independent component analysis (ICA) was applied to decompose multi-subject resting-state data into functionally homogeneous regions. Dynamic functional network connectivity (FNC) between all ICA time courses were computed using a tapered sliding window approach. We used a k-means algorithm to cluster the resulting dynamic FNC windows from each scan session into five dynamic states. We examined age and sex associations using linear mixed-effects models. First, independent from the dynamic states, we found a general increase in the temporal variability of the connections between intrinsic connectivity networks with increasing age. Second, when examining the clusters of dynamic FNC windows, we observed that the time spent in less modularized states, with low intra- and inter-network connectivity, decreased with age. Third, the number of transitions between states also decreased with age. Finally, compared to boys, girls showed a more mature pattern of dynamic brain connectivity, indicated by more time spent in a highly modularized state, less time spent in specific states that are frequently observed at a younger age, and a lower number of transitions between states. This longitudinal population-based study demonstrates age-related maturation in dynamic intrinsic neural activity from childhood into adolescence and offers a meaningful baseline for comparison with deviations from typical development. Given that several behavioral and cognitive processes also show marked changes through childhood and adolescence, dynamic functional connectivity should also be explored as a potential neurobiological determinant of such changes

Ethics-Relevant Values as Antecedents of Personality Change: Longitudinal Findings from the Life and Time Study

What leads personality to develop in adulthood? Values, guiding principles that apply across contexts, may capture motivation for growth and change. An essentialist trait perspective posits that personality changes only as a result of organic factors. But evidence suggests that psychosocial factors also influence personality change, especially during young adulthood. In the Life and Time study of sources of personality change in adulthood, we specifically explore ethically-relevant value priorities, those related to the relative prioritization of narrow self-interest over the concerns of a larger community. According to Rollo May (1967), “mature values”, including aspects of both self-transcendence and self-determination, should serve to diminish or prevent neurotic anxiety. This is consistent with research on materialism, which is associated with lower well-being. An index based on May’s proposal and several related constructs (materialism, unmitigated self-interest, collectivism and individualism) are tested longitudinally as possible antecedents of Big Five/Six personality trait change using bivariate LCMSR models in a national community sample (N = 864 at Time 1). Contrary to an essentialist trait perspective, these value priorities more often preceded change in personality traits than vice-versa. Somewhat consistent with May’s theory, higher “mature” values preceded higher openness (statistically significant at the p <.005 level). Higher vertical individualism significantly preceded lower compassion, intellect and openness. At the suggestive (p <.05) level, higher unmitigated self-interest preceded lower conscientiousness, higher vertical individualism preceded higher volatility, higher mature values preceded higher honesty/propriety and politeness, higher horizontal collectivism preceded higher orderliness, agreeableness, and assertiveness and lower intellect, and higher horizontal individualism preceded lower withdrawal. In two of three cases, suggestive personality-as-antecedent-of-values-change effects were reciprocal with the values-effects: higher conscientiousness scores reciprocally preceded lower unmitigated self-interest, and higher volatility higher vertical individualism. No significant or suggestive “stand-alone”, non-reciprocal personality on values effects were found

Making an unknown unknown a known unknown: Missing data in longitudinal neuroimaging studies

The analysis of longitudinal neuroimaging data within the massively univariate framework provides the opportunity to study empirical questions about neurodevelopment. Missing outcome data are an all-to-common feature of any longitudinal study, a feature that, if handled improperly, can reduce statistical power and lead to biased parameter estimates. The goal of this paper is to provide conceptual clarity of the issues and non-issues that arise from analyzing incomplete data in longitudinal studies with particular focus on neuroimaging data. This paper begins with a review of the hierarchy of missing data mechanisms and their relationship to likelihood-based methods, a review that is necessary not just for likelihood-based methods, but also for multiple-imputation methods. Next, the paper provides a series of simulation studies with designs common in longitudinal neuroimaging studies to help illustrate missing data concepts regardless of interpretation. Finally, two applied examples are used to demonstrate the sensitivity of inferences under different missing data assumptions and how this may change the substantive interpretation. The paper concludes with a set of guidelines for analyzing incomplete longitudinal data that can improve the validity of research findings in developmental neuroimaging research. Keywords: Neuroimaging, Missing data, Likelihood, Longitudinal dat

Neurodevelopmental changes across adolescence in viewing and labeling dynamic peer emotions

Adolescence is a sensitive period of social-affective development, characterized by biological, neurological, and social changes. The field currently conceptualizes these changes in terms of an imbalance between systems supporting reactivity and regulation, specifically nonlinear changes in reactivity networks and linear changes in regulatory networks. Previous research suggests that the labeling or reappraisal of emotion increases activity in lateral prefrontal cortex (LPFC), and decreases activity in amygdala relative to passive viewing of affective stimuli. However, past work in this area has relied heavily on paradigms using static, adult faces, as well as explicit regulation. In the current study, we assessed cross-sectional trends in neural responses to viewing and labeling dynamic peer emotional expressions in adolescent girls 10–23 years old. Our dynamic adolescent stimuli set reliably and robustly recruited key brain regions involved in emotion reactivity (medial orbital frontal cortex/ventral medial prefrontal cortex; MOFC/vMPFC, bilateral amygdala) and regulation (bilateral dorsal and ventral LPFC). However, contrary to the age-trends predicted by the dominant models in studies of risk/reward, the LPFC showed a nonlinear age trend across adolescence to labeling dynamic peer faces, whereas the MOFC/vMPFC showed a linear decrease with age to viewing dynamic peer faces. There were no significant age trends observed in the amygdala. Keywords: Adolescence, Dynamic affect, Emotion labeling, Peers, Medial orbitofrontal cortex, Lateral prefrontal corte

Ethics-relevant values in adulthood: Longitudinal findings from the life and time study

OBJECTIVE: This study investigates a set of variables related to the relative valuing of narrow self-interest versus the concerns of a larger community. These values likely capture stable dispositions. Additionally, because ethics-relevant values are associated with ongoing cultural and moral socialization, they may develop over time as in May's theory of "mature" values. METHOD: We administered eight value priority scales (Mature Values, Unmitigated Self-Interest, Materialism, Financial Aspirations, and Horizontal and Vertical Individualism and Collectivism) to a national community sample (N = 864, 66% female, 71% White, mean age 36) on four occasions approximately one year apart (Time 4 N = 570). We examined the mean-level change as cross-sectional age differences and longitudinal change, and rank-order stability. Correlations with Big Five/Big Six personality traits are reported. RESULTS: As people grew older, they increased in Mature Values and Horizontal and Vertical Collectivism, and decreased in Unmitigated Self-Interest, Materialism, and Vertical Individualism. Rank-order stability of the values was nearly as high as personality traits over three years. Stability increased with age for some scales. DISCUSSION: The stability of values scores suggests that they capture dispositional aspects, but age differences and longitudinal trends are also consistent with the hypothesis of socialization toward more inclusive value priorities

The Hitchhiker’s guide to longitudinal models: A primer on model selection for repeated-measures methods

Longitudinal data are becoming increasingly available in developmental neuroimaging. To maximize the promise of this wealth of information on how biology, behavior, and cognition change over time, there is a need to incorporate broad and rigorous training in longitudinal methods into the repertoire of developmental neuroscientists. Fortunately, these models have an incredibly rich tradition in the broader developmental sciences that we can draw from. Here, we provide a primer on longitudinal models, written in a beginner-friendly (and slightly irreverent) manner, with a particular focus on selecting among different modeling frameworks (e.g., multilevel versus latent curve models) to build the theoretical model of development a researcher wishes to test. Our aims are three-fold: (1) lay out a heuristic framework for longitudinal model selection, (2) build a repository of references that ground each model in its tradition of methodological development and practical implementation with a focus on connecting researchers to resources outside traditional neuroimaging journals, and (3) provide practical resources in the form of a codebook companion demonstrating how to fit these models. These resources together aim to enhance training for the next generation of developmental neuroscientists by providing a solid foundation for future forays into advanced modeling applications

Neural Reactivity to Emotional Faces May Mediate the Relationship between Childhood Empathy and Adolescent Prosocial Behavior

Reactivity to others’ emotions can result in empathic concern (EC), an important motivator of prosocial behavior, but can also result in personal distress (PD), which may hinder prosocial behavior. Examining neural substrates of emotional reactivity may elucidate how EC and PD differentially influence prosocial behavior. Participants (N=57) provided measures of EC, PD, prosocial behavior, and neural responses to emotional expressions at age 10 and 13. Initial EC predicted subsequent prosocial behavior. Initial EC and PD predicted subsequent reactivity to emotions in the inferior frontal gyrus (IFG) and inferior parietal lobule, respectively. Activity in the IFG, a region linked to mirror neuron processes, as well as cognitive control and language, mediated the relation between initial EC and subsequent prosocial behavior