Faculty Bibliography

PURPOSE OF REVIEW/OBJECTIVE:Imaging research has sought to uncover brain structure, function, and metabolism in women with postpartum depression (PPD) as little is known about its underlying pathophysiology. This review discusses the imaging modalities used to date to evaluate postpartum depression and highlights recent findings. RECENT FINDINGS/RESULTS:Altered functional connectivity and activity changes in brain areas implicated in executive functioning and emotion and reward processing have been identified in PPD. Metabolism changes involving monoamine oxidase A, gamma-aminobutyric acid, glutamate, serotonin, and dopamine have additionally been reported. To date, no studies have evaluated gray matter morphometry, voxel-based morphometry, surface area, cortical thickness, or white matter tract integrity in PPD. Recent imaging studies report changes in functional connectivity and metabolism in women with PPD vs. healthy comparison women. Future research is needed to extend these findings as they have important implications for the prevention and treatment of postpartum mood disorders.

From the statistical learning perspective, this paper shows a new direction for the use of growth mixture modeling (GMM), a method of identifying latent subpopulations that manifest heterogeneous outcome trajectories. In the proposed approach, we utilize the benefits of the conventional use of GMM for the purpose of generating potential candidate models based on empirical model fitting, which can be viewed as unsupervised learning. We then evaluate candidate GMM models on the basis of a direct measure of success; how well the trajectory types are predicted by clinically and demographically relevant baseline features, which can be viewed as supervised learning. We examine the proposed approach focusing on a particular utility of latent trajectory classes, as outcomes that can be used as valid prediction targets in clinical prognostic models. Our approach is illustrated using data from the Longitudinal Assessment of Manic Symptoms study. Copyright © 2016 John Wiley & Sons, Ltd.

We compared 2 rating scales with different manic symptom items on diagnostic accuracy for detecting pediatric bipolar spectrum disorder (BPSDs) in outpatient mental health clinics. Participants were 681 parents/guardians of eligible children (465 male, mean age = 9.34) who completed the Parent General Behavior Inventory-10-item Mania (PGBI-10 M) and mania subscale of the Child and Adolescent Symptom Inventory-Revised (CASI-4R). Diagnoses were based on KSADS interviews with parent and youth. Receiver operating characteristic (ROC) analyses and diagnostic likelihood ratios (DLRs) determined discriminative validity and provided clinical utility, respectively. Logistic regressions tested for incremental validity in the CASI-4R mania subscale and PGBI-10 M in predicting youth BPSD status above and beyond demographic and common diagnostic comorbidities. Both CASI-4R and PGBI-10 M scales significantly distinguished BPSD (N = 160) from other disorders (CASI-4R: Area under curve (AUC) = .80, p < 0.0005; PGBI-10 M: AUC = 0.79, p < 0.0005) even though scale items differed. Both scales performed equally well in differentiating BPSDs (Venkatraman test p > 0.05). Diagnostic likelihood ratios indicated low scores on either scale (CASI: 0-5; PGBI-10 M: 0-6) cut BPSD odds to 1/5 of those with high scores (CASI DLR- = 0.17; PGBI-10 M DLR- = 0.18). High scores on either scale (CASI: 14+; PGBI-10 M: 20+) increased BPSD odds about fourfold (CASI DLR+ = 4.53; PGBI-10 M DLR+ = 3.97). Logistic regressions indicated the CASI-4R mania subscale and PGBI-10 M each provided incremental validity in predicting youth BPSD status. The CASI-4R is at least as valid as the PGBI-10 M to help identify BPSDs, and can be considered as part of an assessment battery to screen for pediatric BPSDs.

Prosocial behavior emerges in the second year of life, yet it is typical for children in this period not to share, comfort, or help. We compared toddlers (18, 30 months) who helped with those who did not help on two tasks (instrumental helping; empathic helping). More than half of children failed to help on one or both tasks. Nonhelpers engaged in more hypothesis testing on the instrumental helping task, but more security-seeking, wariness, and playing on the empathic helping task. Across tasks, children who tended to engage in nonhelping behaviors associated with negative emotional arousal also tended to seek comfort from a parent. In contrast, children who tended to play instead of helping were less likely to exhibit negative emotional arousal or hypothesis testing, suggesting a focus on their own interests. Parents of 18-month-old nonhelpers on the instrumental task were less engaged in socializing prosocial behavior in their toddlers than were the parents of helpers. On the empathic helping task, 18-month-old nonhelpers had less mature self-other understanding than did helpers. By examining how the predominant reasons for failing to help vary with age and task, we gain a fuller perspective on the factors involved in the early development of prosocial behavior.

Research on positive emotion disturbance has gained increasing attention, yet it is not clear which specific positive emotions are affected by mood symptoms, particularly during the critical period of adolescence. This is especially pertinent for identifying potential endophenotypic markers associated with mood disorder onset and course. The present study examined self-reported discrete positive and negative emotions in association with clinician-rated manic and depressive mood symptoms in a clinically and demographically diverse group of 401 outpatient adolescents between 11-18 years of age. Results indicated that higher self reported joy and contempt were associated with increased symptoms of mania, after controlling for symptoms of depression. Low levels of joy and high sadness uniquely predicted symptoms of depression, after controlling for symptoms of mania. Results were independent of age, ethnicity, gender and bipolar diagnosis. These findings extend work on specific emotions implicated in mood pathology in adulthood, and provide insights into associations between emotions associated with goal driven behavior with manic and depressive mood symptom severity in adolescence. In particular, joy was the only emotion associated with both depressive and manic symptoms across adolescent psychopathology, highlighting the importance of understanding positive emotion disturbance during adolescent development.

OBJECTIVES:Epidemiological studies suggest that cyclothymic disorder is the most prevalent subtype of bipolar disorder (BD). However, it is rarely diagnosed, especially in youth. This may be because it can be difficult to ascertain whether a youth meets diagnostic criteria. Clearer, easy-to-apply criteria could reduce misdiagnosis. The objective oftable this study was to determine whether proposed research diagnostic criteria for cyclothymic disorder (RDCyc), based on DSM-5 criteria, could be quantified and validated in youth. METHODS:Participants from the Longitudinal Assessment of Manic Symptoms (LAMS) study were recruited based on symptoms of mania and followed prospectively. RDCyc criteria were: 1) At least one core symptom each of mania and depression; 2) one additional symptom of mania and of depression; 3) persistence over two consecutive six-month periods, and 4) impairment. Exclusionary criteria were having a [hypo]manic or depressive episode. Outcomes at the two-year follow-up were compared between RDCyc youth and other diagnostic groups (BD I/II, BD NOS/non-RDCyc cyclothymic disorder, disruptive behavior disorders [DBD], depression). RESULTS:Thirty-seven youth met RDCyc criteria. There were no consistent differences between the RDCyc youth and youth with other BD subtypes (ps=0.001-0.960, with all-but-one p value >0.02). RDCyc youth had higher depression (p<0.0005) and mania scores (p=0.001), lower functioning (p=0.012), and higher suicide risk than DBD youth (p=0.001). They had higher mania scores than depressed youth (p.018). LIMITATIONS:The majority of youth in the sample were recruited due to elevated symptoms of mania, which may limit the generalizability of the results. Youth were followed for two years, which may not be long enough to determine whether or not they will eventually develop a manic or depressive episode. CONCLUSIONS:Applying RDCyc criteria identified youth who were similar to others with BD and were more impaired than those with DBD. Using these criteria could reduce misdiagnosis and increase our understanding of this prevalent, but largely ignored, diagnosis.

OBJECTIVE:To test whether rates of bipolar disorder (BD) have changed over time or vary across geographic regions after adjusting for design features meta-analyzing epidemiologic studies reporting BD prevalence in adults worldwide. DATA SOURCES:Searches in PubMed and PsycINFO using the terms (epidemiology OR community OR prevalence) AND (mania OR "bipolar disorder" OR cyclothymi*) AND adult and backward searches from published reviews were conducted. STUDY SELECTION:Eighty-five epidemiologic studies published in English from 1980 onward that reported prevalence rates for BD or mania for subjects ≥ 18 years old were included. DATA EXTRACTION:We coded BD prevalence, method of data collection, diagnostic criteria, year of study, country, and quality of study design and data reporting. Meta-regression tested whether sample characteristics influenced prevalence rates using the metafor package in R. RESULTS:Eighty-five effect sizes, from 44 countries, from studies spanning the years 1980-2012, included 67,373 people with BD. Lifetime prevalence for BD spectrum was 1.02% (95% CI, 0.81%-1.29%). Prevalence was moderated by the inclusion of BD not otherwise specified (P = .009) and by geographic region; rates from Africa and Asia were less than half of those from North and South America. Rates did not change significantly over 3 decades after controlling for design features. CONCLUSIONS:The overall prevalence rate is consistent with historical estimates, but rates vary significantly across studies. Differences in methodology contribute to the perception that rates of BD have increased over time. Rates varied markedly by geographic region, even after controlling for all other predictors. Research using consistent definitions and methods may expose specific factors that confer risk for BD.