48 research outputs found

    Emotion Processing in Children and Adolescents with Anxiety Disorders and Typically Developing Youth.

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    Understanding the typical development of neural circuitry involved in emotion processing has the potential to inform our understanding of the atypical development of this circuitry in populations such as pediatric anxiety disorder patients, and vice versa. The aim of this dissertation is to examine cross-sectional changes with age in prefrontal cortex-amygdala circuitry in typically developing children and adolescents and how functioning of this circuitry is altered in pediatric anxiety disorder patients. The first chapter reviews what is currently known about changes occurring in prefrontal cortex-amygdala circuitry across childhood and adolescence and discusses how knowledge of the development of neural circuitry can help link developmental influences such as genes and environment to outcomes of interest such as symptoms and disorders. The following three chapters provide original research examining this circuitry and its role in emotion processing in typical and atypical child and adolescent populations. In the second chapter, I examine the relation between prefrontal cortex-amygdala structural connectivity and function in typically developing youth. The third chapter aims to further elucidate abnormalities in amygdala function in pediatric anxiety disorder patients. In the fourth chapter, I examine prefrontal cortex function in pediatric anxiety disorder patients during a task that manipulates attention to emotional stimuli. In the fifth chapter, I discuss how this original research informs a model of the typical and atypical development of prefrontal cortex-amygdala circuitry across childhood and adolescence and how this model can be applied in future research to generate novel approaches to examining the development and treatment of anxiety disorders.PHDPsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/100073/1/jrswartz_1.pd

    Amygdala reactivity predicts adolescent antisocial behavior but not callous-unemotional traits.

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    Recent neuroimaging studies have suggested divergent relationships between antisocial behavior (AB) and callous-unemotional (CU) traits and amygdala reactivity to fearful and angry facial expressions in adolescents. However, little work has examined if these findings extend to dimensional measures of behavior in ethnically diverse, non-clinical samples, or if participant sex, ethnicity, pubertal stage, and age moderate associations. We examined links between amygdala reactivity and dimensions of AB and CU traits in 220 Hispanic and non-Hispanic Caucasian adolescents (age 11-15; 49.5% female; 38.2% Hispanic), half of whom had a family history for depression and thus were at relatively elevated risk for late starting, emotionally dysregulated AB. We found that AB was significantly related to increased right amygdala reactivity to angry facial expressions independent of sex, ethnicity, pubertal stage, age, and familial risk status for depression. CU traits were not related to fear- or anger-related amygdala reactivity. The present study further demonstrates that AB is related to increased amygdala reactivity to interpersonal threat cues in adolescents, and that this relationship generalizes across sex, ethnicity, pubertal stage, age, and familial risk status for depression

    Developmental Change in Amygdala Reactivity During Adolescence: Effects of Family History of Depression and Stressful Life Events

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    Though heightened amygdala reactivity is observed in patients with major depression, two critical gaps in our knowledge remain. First, it is unclear whether heightened amygdala reactivity is a premorbid vulnerability or consequence of the disorder. Second, it is unknown how and when this neural phenotype develops. The objective of this study was to address these gaps by evaluating developmental change in threat-related amygdala reactivity in adolescents at high or low risk for depression based on family history, before the onset of disorder

    The Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo): Rationale, Methods, and Baseline Characteristics

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    Background: The characterization of adolescents at high risk for developing depression has traditionally relied on the presence or absence of single risk factors. More recently, the use of composite risk scores combining information from multiple variables has gained attention in prognostic research in the field of mental health. We previously developed a sociodemographic composite score to estimate the individual level probability of depression occurrence in adolescence, the Identifying Depression Early in Adolescence Risk Score (IDEA-RS).Objectives: In this report, we present the rationale, methods, and baseline characteristics of the Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo), a study designed for in-depth examination of multiple neurobiological, psychological, and environmental measures associated with the risk of developing and with the presence of depression in adolescence, with a focus on immune/inflammatory and neuroimaging markers.Methods: Using the IDEA-RS as a tool for risk stratification, we recruited a new sample of adolescents enriched for low (LR) and high (HR) depression risk, as well as a group of adolescents with a currently untreated major depressive episode (MDD). Methods for phenotypic, peripheral biological samples, and neuroimaging assessments are described, as well as baseline clinical characteristics of the IDEA-RiSCo sample.Results: A total of 7,720 adolescents aged 14–16 years were screened in public state schools in Porto Alegre, Brazil. We were able to identify individuals at low and high risk for developing depression in adolescence: in each group, 50 participants (25 boys, 25 girls) were included and successfully completed the detailed phenotypic assessment with ascertainment of risk/MDD status, blood and saliva collections, and magnetic resonance imaging (MRI) scans. Across a variety of measures of psychopathology and exposure to negative events, there was a clear pattern in which either the MDD group or both the HR and the MDD groups exhibited worse indicators in comparison to the LR group.Conclusion: The use of an empirically-derived composite score to stratify risk for developing depression represents a promising strategy to establish a risk-enriched cohort that will contribute to the understanding of the neurobiological correlates of risk and onset of depression in adolescence
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