Faculty Bibliography

Although prior research suggests that children show rapid change in socioemotional functioning and aggression throughout early childhood, little is known about how these factors may be associated with the development of callous-unemotional (CU) features. This study investigated the parallel development of, and reciprocal relationships between, emotion understanding (EU) and aggression across early childhood, as well as how they play a role in the development of CU features. Parallel latent growth curve modeling was used to examine longitudinal reciprocal relationships between EU and aggression in a sample of 498 primarily Black (i.e., African-American or Afro-Caribbean) preschoolers (49.5% male, 89.2% Black, M_age = 4.1), followed with six waves over a 45-month period from pre-kindergarten through grade 2. CU features were included as a baseline covariate, as well as an outcome, of EU and aggression growth factors. Children with lower levels of EU at age 4 displayed higher linear increases in aggression over time. EU at age 4 had a significant indirect effect on CU features at age 8 via its association with linear increases in aggression. Findings suggest that EU is influential in the early development of aggression, which may in turn influence the development or exacerbation of CU features. Children's EU in early childhood, especially concerning others' distress, may be an important component of preventive intervention efforts for young children at risk for serious antisocial behavior.

Introduction: Child fatigue has been associated with behavioral outcomes, including aggression, hyperactivity, and conduct problems, which may affect academic performance. We explored whether fatigue was associated with external behavioral health outcomes in a predominantly Black (Afro-Caribbean and African-American) student population (90%). Ratings of parent and teacher agreement of child fatigue was evaluated. This analysis was part of a larger research program, which included a cluster randomized controlled trial in ten public elementary schools in historically disinvested neighborhoods.
Method(s): A total of 804 first-graders (7+/- 0.6 years old) participated in the study focused on child self-regulation, mental health achievement, parenting and parent involvement. Externalizing behaviors (i.e., conduct problems, aggression, and hyperactivity) were reported by teachers using the Behavior System for Children (BASC-2). A composite score of teacher-perceived child fatigue was created based on ratings of child fatigue, morning alertness, and falling asleep in class. Parent perception of child fatigue was assessed using the Children's Sleep Habits Questionnaire. Regression analysis was conducted to determine the association between teacher's reports of child fatigue and externalizing behavior problems. Cohen's kappa coefficient assessed parent and teacher agreement of child fatigue based on categorical classification of presence of child fatigue.
Result(s): Children who were perceived as fatigued (i.e., tiredness and falling asleep in class) by their teacher were more likely to have a high BASC externalizing composite score (T=60 cut off) (beta = -0.24, p<.001). Cohen's kappa of 0.004 (p<0.05) showed a slight discordance in perception of child fatigue comparing reports from teachers and parents, although results were not significant.
Conclusion(s): Teacher perception of child fatigue was significantly associated with teacher BASC T-score of child externalizing behavior outcomes. Future studies should explore longitudinal relationships between fatigue and mental health

The search for objective biological tests, sufficiently reliable, and predictive enough to be diagnostic of psychiatric disorders, continues apace - yet their discovery remains a distant dream. It seems increasingly unlikely that current diagnostic structures and concepts map biologically in a straight forward way - with heterogeneity within, and sharing across, existing diagnostic boundaries being the biological rule rather than the exception. Indeed, it now appears that the science of biological psychiatry is more likely to redraw those boundaries than it is to confirm and mark them (Sonuga-Barke, Journal of Child Psychology and Psychiatry, 2016, 57, 1). Clinical identification of childhood psychiatric disorders therefore remains, for the foreseeable future at least, an exercise in regulated social perception - reliant on the fallible and subjective judgements of parents, teachers and clinicians. Social perception of this sort is an active and motivated process and therefore prone, like all social perception, to bias and distortions - both systematic and idiosyncratic. Progress has certainly been made over the last 50 years in reducing such judgement bias by, for instance filtering perceptions through the lens of standardised instruments (questionnaires and interviews) with carefully operationalised items and a degree of reliability and validity. However, such instruments often play only a peripheral role in actual diagnostic encounters and when they are used, there is still sufficient ambiguity to leave open plenty of room for interpretation. When we acknowledge that psychiatric diagnoses are social constructions - we are not saying that symptoms of inattention, impulsivity and hyperactivity are not real or do not cluster together in meaningful ways or that they do not cause real distress and disability but that their interpretation and meaning are often informed by social constructs such as ethnic or gender norms and stereotypes (Meyer, Stevenson, & Sonuga-Barke, Journal of Attention Disorders, 2019).

The LENA system was designed and validated to provide information about the language environment in children 0 to 4 years of age and its use has been expanded to populations with a number of communication profiles. Its utility in children 5 years of age and older is not yet known. The present study used acoustic data from two samples of children with autism spectrum disorders (ASD) to evaluate the reliability of LENA automated analyses for detecting speech utterances in older, school age children, and adolescents with ASD, in clinic and home environments. Participants between 5 and 18 years old who were minimally verbal (study 1) or had a range of verbal abilities (study 2) completed standardized assessments in the clinic (study 1 and 2) and in the home (study 2) while speech was recorded from a LENA device. We compared LENA segment labels with manual ground truth coding by human transcribers using two different methods. We found that the automated LENA algorithms were not successful (<50% reliable) in detecting vocalizations from older children and adolescents with ASD, and that the proportion of speaker misclassifications by the automated system increased significantly with the target-child's age. The findings in children and adolescents with ASD suggest possibly misleading results when expanding the use of LENA beyond the age ranges for which it was developed and highlight the need to develop novel automated methods that are more appropriate for older children. Autism Research 2019, 12: 628-635. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Current commercially available speech detection algorithms (LENA system) were previously validated in toddlers and children up to 48 months of age, and it is not known whether they are reliable in older children and adolescents. Our data suggest that LENA does not adequately capture speech in school age children and adolescents with autism and highlights the need to develop new automated methods for older children.

This study used machine-learning algorithms to make unbiased estimates of the relative importance of various multilevel data for classifying cases with schizophrenia (n = 60), schizoaffective disorder (n = 19), bipolar disorder (n = 20), unipolar depression (n = 14), and healthy controls (n = 51) into psychiatric diagnostic categories. The Random Forest machine learning algorithm, which showed best efficacy (92.9% SD: 0.06), was used to generate variable importance ranking of positive, negative, and general psychopathology symptoms, cognitive indexes, global assessment of function (GAF), and parental ages at birth for sorting participants into diagnostic categories. Symptoms were ranked most influential for separating cases from healthy controls, followed by cognition and maternal age. To separate schizophrenia/schizoaffective disorder from bipolar/unipolar depression, GAF was most influential, followed by cognition and paternal age. For classifying schizophrenia from all other psychiatric disorders, low GAF and paternal age were similarly important, followed by cognition, psychopathology and maternal age. Controls misclassified as schizophrenia cases showed lower nonverbal abilities, mild negative and general psychopathology symptoms, and younger maternal or older paternal age. The importance of symptoms for classification of cases and lower GAF for diagnosing schizophrenia, notably more important and distinct from cognition and symptoms, concurs with current practices. The high importance of parental ages is noteworthy and merits further study.

BACKGROUND:Currently, no medications are approved to treat core symptoms of autism spectrum disorder (ASD). One barrier to ASD medication development is the lack of validated outcome measures able to detect symptom change. Current ASD interventions are often evaluated using retrospective caregiver reports that describe general clinical presentation but often require recall of specific behaviors weeks after they occur, potentially reducing accuracy of the ratings. My JAKE, a mobile and Web-based mobile health (mHealth) app that is part of the Janssen Autism Knowledge Engine-a dynamically updated clinical research system-was designed to help caregivers of individuals with ASD to continuously log symptoms, record treatments, and track progress, to mitigate difficulties associated with retrospective reporting. OBJECTIVE:My JAKE was deployed in an exploratory, noninterventional clinical trial to evaluate its utility and acceptability to monitor clinical outcomes in ASD. Hypotheses regarding relationships among daily tracking of symptoms, behavior, and retrospective caregiver reports were tested. METHODS:Caregivers of individuals with ASD aged 6 years to adults (N=144) used the My JAKE app to make daily reports on their child's sleep quality, affect, and other self-selected specific behaviors across the 8- to 10-week observational study. The results were compared with commonly used paper-and-pencil scales acquired over a concurrent period at regular 4-week intervals. RESULTS:Caregiver reporting of behaviors in real time was successfully captured by My JAKE. On average, caregivers made reports 2-3 days per week across the study period. Caregivers were positive about their use of the system, with over 50% indicating that they would like to use My JAKE to track behavior outside of a clinical trial. More positive average daily reporting of overall type of day was correlated with 4 weekly reports of lower caregiver burden made at 4-week intervals (r=-0.27, P=.006, n=88) and with ASD symptoms (r=-0.42, P<.001, n=112). CONCLUSIONS:My JAKE reporting aligned with retrospective Web-based or paper-and-pencil scales. Use of mHealth apps, such as My JAKE, has the potential to increase the validity and accuracy of caregiver-reported outcomes and could be a useful way of identifying early changes in response to intervention. Such systems may also assist caregivers in tracking symptoms and behavior outside of a clinical trial, help with personalized goal setting, and monitoring of progress, which could collectively improve understanding of and quality of life for individuals with ASD and their families. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT02668991; https://clinicaltrials.gov/ct2/show/NCT02668991.

OBJECTIVES/OBJECTIVE:Cognitive-behavioural therapy (CBT) has been shown to be an effective treatment for body dysmorphic disorder (BDD), but access to treatment around the world is limited. One way to increase access is to administer CBT remotely via the internet. This study represents the first effort to remotely deliver a therapist-supported, internet-based CBT treatment with no restrictions on enrolment based on geographical location, and it aims to assess whether this treatment can be delivered safely across international borders, with outcomes comparable to previous BDD-NET trials. DESIGN/METHODS:Uncontrolled clinical trial. PARTICIPANTS/METHODS:Patients (n=32) in nine different countries were recruited primarily through internet advertisements. INTERVENTION/METHODS:BDD-NET is a 12-week treatment, consisting of eight treatment modules previously shown to be effective in a Swedish version. SETTING/METHODS:Therapists based at a single, secondary care centre in Sweden provided active guidance and feedback throughout the treatment via asynchronous electronic messages. MAIN OUTCOME MEASURE/METHODS:The clinician-administered Yale-Brown Obsessive Compulsive Scale for BDD (BDD-YBOCS). Symptom severity was assessed pretreatment, mid-treatment (6 weeks), post-treatment and at the 3-month follow-up. RESULTS:There were significant improvements on BDD-YBOCS scores (F(3, 71.63)=31.79, p<0.001), that were maintained at 3-month follow-up. Mean differences from baseline in BDD-YBOCS scores were -8.12 (week 6), -12.63 (post-treatment) and -11.71 (3-month follow-up). 47% and 50% of participants were considered treatment responders at post-treatment and 3-month follow-up, respectively. Additionally, remission rates were 28% at post-treatment and 44% at 3-month follow-up. The treatment was also deemed acceptable by patients. CONCLUSIONS:The results suggest that BDD-NET can be safely and effectively delivered across international borders to a culturally diverse sample. Larger scale randomised controlled trials with more participants from non-Western cultures are warranted to further validate the cross-cultural generalisability of this treatment. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT03517384.

BACKGROUND:Juvenile justice-involved youth have high rates of trauma exposure, physical and sexual abuse and PTSD. Several factors have been found to be related to PTSD symptoms in youth including number and chronicity of traumatic events. OBJECTIVE:To simultaneously examine the relationships between allostatic load (defined here as number of traumatic experiences), poly-victimization (exposure to two or more forms of victimization based on 5 of the 6 categories in Ford et al.'s 2010 study), physical/sexual abuse and PTSD in justice-involved youth. PARTICIPANTS AND SETTING/METHODS:The sample consisted of 1984 youth in juvenile detention in a Northeastern city. The sample was 73.4% male and the majority of youth were either African American or Hispanic. METHODS:Clinicians collected demographic and psychosocial information, and measured symptoms of PTSD, depression, and problematic substance use. RESULTS:Results showed that youth with more traumas, those who experienced poly-victimization and those who experienced physical/sexual assault/abuse were not only more likely to have PTSD, but also more likely to have depression, thoughts of suicide/self-harm, and problematic substance use (as indicated by the presence of 2 or more of 6 possible indicators). Poly-victimization was a stronger correlate of PTSD than number of traumas or physical/sexual assault/abuse. However, among youth with PTSD, number of traumas was associated with co-occurring problems while poly-victimization and physical/sexual assault/abuse were not. CONCLUSIONS:Findings can be used to help direct resources to juvenile justice-involved youth who are most in need of treatment.

We report a case of a previously healthy, afebrile patient who presented with subacute bilateral lower extremity rash and complete heart block, which was later found to be secondary to infective endocarditis. His transoesophageal echocardiogram detected multiple vegetations and blood cultures were positive for Granulicatella adiacens, a nutritionally variant streptococcus that is a normal component of oral flora and thought to be responsible for approximately 5% of all cases of streptococcal endocarditis. Due to concerns for renal failure, the patient was treated with an unconventional regimen of ampicillin and ceftriaxone. He underwent a valve replacement and pacemaker placement and has done well since hospital discharge.