Objective There is a pressing need to elucidate the brain–behavior interactions underlying autism spectrum disorders (ASD) given the marked rise in ASD diagnosis over the past decade. Functional magnetic resonance imaging (fMRI) has begun to address this need, but few fMRI studies have evaluated age-related changes in ASD. Therefore, we conducted a developmental analysis of activation likelihood estimation (ALE) meta-analysis to compare child versus adult ASD fMRI studies. We hypothesized that children and adolescents with ASD (<18 years old) would rely less on prefrontal cortex structures than adults (≥18 years old). Method PubMed and PsycInfo literature searches were conducted to identify task-dependent fMRI studies of children or adults with ASD. Then recent GingerALE software improvements were leveraged to perform direct comparisons of child (n =18) versus adult (n =24) studies. Results ALE meta-analyses of social tasks showed that children and adolescents with ASD versus adults had significantly greater hyperactivation in the left post-central gyrus, and greater hypoactivation in the right hippocampus and right superior temporal gyrus. ALE meta-analyses of nonsocial tasks showed that children with ASD versus adults had significantly greater hyperactivation in the right insula and left cingulate gyrus, and hypoactivation in the right middle frontal gyrus. Conclusion Our data suggest that the neural alterations associated with ASD are not static, occurring only in early childhood. Instead, children with ASD have altered neural activity compared to adults during both social and nonsocial tasks, especially in fronto-temporal structures. Longitudinal neuroimaging studies are required to examine these changes prospectively, as potential targets for brain-based treatments for ASD.

Objective To describe the headache characteristics and functional disability of a large sample of treatment-seeking youth with continuous headache and compare these factors across diagnostic subgroups of chronic migraine and new daily persistent headache. Methods This retrospective study utilized clinical information (e.g. diagnosis, headache features, medication overuse, functional disability) from a large data repository of patients initially presenting to a multidisciplinary headache center with continuous headache. Patient inclusion in subgroup analyses for chronic migraine and new daily persistent headache was based on clinician diagnosis using International Classification of Headache Disorders (ICHD) criteria. Results The current sample included 1170 youth (mean age = 13.95 years, 78.8% female) with continuous headache. The overwhelming majority of these youth had headaches with migrainous features, regardless of their clinical diagnosis. Youth with chronic migraine reported a longer history of continuous headache symptoms and earlier age of headache onset than youth with new daily persistent headache and were more likely to have medication overuse. Most youth with continuous headache experienced severe migraine-related functional disability, regardless of diagnostic subgroup. Conclusions Overall, youth with continuous chronic migraine and new daily persistent headache did not have clinically meaningful differences in headache features and associated disability. Findings suggest that chronic migraine and new daily persistent headache may be variants of the same underlying disease.

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IMPORTANCE Migraine is a common neurological disease that often begins in childhood and continues into adulthood; approximately 6 million children and adolescents in the United States cope with migraine, and many frequently experience significant disability and multiple headache days per week. Although pharmacological preventive treatments have been shown to offer some benefit to youth with migraine, additional research is needed to understand whether and how these benefits are sustained.OBJECTIVE To survey clinical status of youth with migraine who participated in the 24-week Childhood and Adolescent Migraine Prevention (CHAMP) trial over a 3-year follow-up period.

Objective Bipolar disorder (BD) and attention-deficit/hyperactivity disorder (ADHD) are often comorbid or confounded; therefore, we evaluated emotional face identification to better understand brain/behavior interactions in children and adolescents with either primary BD, primary ADHD, or typically developing controls (TDC). Method Participants included individuals 7 to 17 years of age (overall sample mean age 12.40 ± 3.01 years), with “narrow-phenotype” pediatric BD (n = 30) or ADHD (n = 38), or typically developing controls (TDC) with no psychiatric disorders themselves or in their first-degree relatives (n = 41). In the BD group, comorbid diagnoses were allowed; however, youth in the ADHD group were excluded for comorbid mood or anxiety disorders. Patient groups were not excluded for psychotropic medication use. Emotional face identification was assessed using the computerized Diagnostic Analysis of Non-Verbal Accuracy (DANVA). Results Participants with BD made significantly more identification errors on child happy faces than either TDCs (p = .03) or participants with ADHD (p = .01). Furthermore, youth with BD (0.33 ± 0.55) were more likely than youth with ADHD (0.11 ± 0.31) to make errors on low-intensity child happy faces (p = .05) but not high-intensity happy faces (p = NS). Participants with BD and ADHD made significantly more total errors in child face labeling than did TDCs, although participants with BD and ADHD did not differ from one another. Conclusion Our data suggest that youths with BD have specific alterations in emotional face identification of happy faces, an important finding that supports theories that response to positively valenced emotional stimuli may be especially salient in BD. Clinical trial registration information—Brain Imaging and Computer Games in Children With Either Bipolar Disorder, ADHD, Anxiety or Healthy Controls (BBPP); http://clinicaltrials.gov/; NCT01570426.

Purpose of Review This review summarizes key findings from recent investigations of psychological interventions for pediatric headache disorders and discusses important avenues for future research. Recent Findings Cognitive Behavioral Therapy (CBT) is effective in reducing headache days among youth with chronic headache. There is mixed evidence for the benefit of CBT on reducing disability associated with migraine, suggesting that there is room to optimize CBT by leveraging complementary or alternative psychological interventions, such as Acceptance and Commitment Therapy (ACT) and mindfulness-based approaches. Tailoring CBT may be especially important for youth with more impairing or complex clinical presentations, such as those with continuous headache. Using eHealth and novel study designs to expand access to and dissemination of psychological interventions is promising. Summary Although CBT is the gold standard psychological treatment for youth with migraine, we are only beginning to understand how and why it is effective. Other promising psychological treatments are available, and studies are beginning to examine how CBT can be optimized to fit the unique needs of each patient. Improving access and equitability of care for youth with migraine will require tailoring psychological treatments for patients with varying headache presentations and youth from a variety of cultural, racial, ethnic, and linguistic backgrounds.

Chronic sleep problems can emerge in childhood and may contribute to negative health outcomes in young adulthood. Chronic youth sleep problems remain a significant predictor of poor health when tested against other known health risk factors, suggesting that sleep may be an important health intervention target.

Background Rates of diagnosis and treatment for bipolar disorder (BD) in youth continue to rise. Researchers and clinicians experience difficulty differentiating between BD in youth and other conditions that are commonly comorbid or share similar clinical features with BD, especially attention-deficit/hyperactivity disorder (ADHD). Comparative studies of the phenomenology and psychosocial correlates of these conditions help to address this. Family functioning is an important topic for both BD and ADHD since both are associated with numerous family-related deficits. One previous study suggested that manic/hypomanic youths’ family functioning differed from ADHD and typically developing control (TDC) groups. However, many family functioning studies with BD and ADHD youth have methodological limitations or fail to use comprehensive, validated measures. Methods This investigation used adolescent report on the Family Assessment Device (FAD), based on the McMaster Model of family functioning. Youth were recruited in BD (n=30), ADHD (n=36), and TDC (n=41) groups. Results Groups were similar on most demographic variables, but The TDC group scored somewhat higher than the others on IQ and socioeconomic status. FAD results indicated that BD and ADHD groups scored worse than TDC on the General Functioning and Roles scales of the FAD. In addition, the BD group showed impairment on the Problem Solving scale relative to TDC. Limitations sample size, lack of parent report, ADHD comorbidity in BD group. Conclusions Family functioning deficits distinguish both clinical groups from TDC, and problem-solving dysfunction may be specific to BD. These findings may apply to treatment models for both conditions.