Faculty Bibliography

BACKGROUND:Family coaggregation of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD) and schizophrenia have been presented in previous studies. The shared genetic and environmental factors among psychiatric disorders remain elusive. METHODS:This nationwide population-based study examined familial coaggregation of major psychiatric disorders in first-degree relatives (FDRs) of individuals with ASD. Taiwan's National Health Insurance Research Database was used to identify 26 667 individuals with ASD and 67 998 FDRs of individuals with ASD. The cohort was matched in 1:4 ratio to 271 992 controls. The relative risks (RRs) and 95% confidence intervals (CI) of ADHD, ASD, BD, MDD and schizophrenia were assessed among FDRs of individuals with ASD and ASD with intellectual disability (ASD-ID). RESULTS:FDRs of individuals with ASD have higher RRs of major psychiatric disorders compared with controls: ASD 17.46 (CI 15.50-19.67), ADHD 3.94 (CI 3.72-4.17), schizophrenia 3.05 (CI 2.74-3.40), BD 2.22 (CI 1.98-2.48) and MDD 1.88 (CI 1.76-2.00). Higher RRs of schizophrenia (4.47, CI 3.95-5.06) and ASD (18.54, CI 16.18-21.23) were observed in FDRs of individuals with both ASD-ID, compared with ASD only. CONCLUSIONS:The risk for major psychiatric disorders was consistently elevated across all types of FDRs of individuals with ASD. FDRs of individuals with ASD-ID are at further higher risk for ASD and schizophrenia. Our results provide leads for future investigation of shared etiologic pathways of ASD, ID and major psychiatric disorders and highlight the importance of mental health care delivered to at-risk families for early diagnoses and interventions.

The COVID-19 pandemic dramatically affected the operations of New York City hospitals during March and April of 2020. This article describes the transformation of a neurology division at a 450-bed tertiary care hospital in a multi-ethnic community in Brooklyn during this initial wave of COVID-19. In lieu of a mass redeployment of staff to internal medicine teams, we report a novel method for a neurology division to participate in a hospital's expansion of care for patients with COVID-19 while maintaining existing team structures and their inherent supervisory and interpersonal support mechanisms.

Brain growth charts and age-normed brain templates are essential resources for researchers to eventually contribute to the care of individuals with atypical developmental trajectories. The present work generates age-normed brain templates for children and adolescents at one-year intervals and the corresponding growth charts to investigate the influences of age and ethnicity using a common pediatric neuroimaging protocol. Two accelerated longitudinal cohorts with the identical experimental design were implemented in the United States and China. Anatomical magnetic resonance imaging (MRI) of typically developing school-age children (TDC) was obtained up to three times at nominal intervals of 1.25 years. The protocol generated and compared population- and age-specific brain templates and growth charts, respectively. A total of 674 Chinese pediatric MRI scans were obtained from 457 Chinese TDC and 190 American pediatric MRI scans were obtained from 133 American TDC. Population- and age-specific brain templates were used to quantify warp cost, the differences between individual brains and brain templates. Volumetric growth charts for labeled brain network areas were generated. Shape analyses of cost functions supported the necessity of age-specific and ethnicity-matched brain templates, which was confirmed by growth chart analyses. These analyses revealed volumetric growth differences between the two ethnicities primarily in lateral frontal and parietal areas, regions which are most variable across individuals in regard to their structure and function. Age- and ethnicity-specific brain templates facilitate establishing unbiased pediatric brain growth charts, indicating the necessity of the brain charts and brain templates generated in tandem. These templates and growth charts as well as related codes have been made freely available to the public for open neuroscience (https://github.com/zuoxinian/CCS/tree/master/H3/GrowthCharts).

HIV-related stigma has been documented as one of the greatest obstacles to reducing HIV spread, engagement in HIV treatment, and poor mental health functioning among people living with HIV (PLWH). Although disclosure is important for people to receive social support, the fear of stigma and discrimination prevents PLWH from disclosing their status. For children and adolescents growing up with HIV -with no opportunity for normal transition through adolescence due to stigma, it is important to identify additional family and community support systems, to improve their acceptance and health outcomes, including mental health functioning. This study examined family communication and social support factors associated with HIV disclosure and HIV-related stigma among children and adolescents living with HIV in Uganda. Baseline data from an NICHD-funded Suubi+Adherence study (N=702) were analyzed. Adolescents (10-16 years) were eligible to participate if they were: 1) HIV positive and knew their HIV status, 2) prescribed antiretroviral therapy, 3) lived within a family, not an institution, and 4) enrolled in one of the 39 health centers in the study area. Multiple regression analyses were conducted to determine family communication (frequency and level of comfort communicating with caregiver), social support (perceived child-caregiver support and social support from classmates, close friends, teachers, and caregivers), associated with HIV disclosure, disclosure comfort, and HIV internalized and anticipated stigma. Results show that level of comfort communicating with a caregiver was significantly associated with how often children discussed their HIV status with other people (B = 0.02, 95% CI = 0.00, 0.03, p = 0.04), and level of HIV disclosure comfort (B = 0.08, 95% CI = 0.04, 0.13, p < 0.01). In addition, support from within the school environment, i.e., from teachers and classmates, was uniquely associated with both HIV disclosure and HIV-related stigma. Findings point to schools as potential for implementing HIV stigma-reduction programs. In addition, programming aimed at improving HIV care and treatment outcomes for adolescents living with HIV should consider incorporating both family communication strengthening and HIV-stigma reduction strategies in their efforts, in order to improve HIV health-related outcomes, including overall mental health functioning of HIV positive adolescents.

In a regression model for treatment outcome in a randomized clinical trial, a treatment effect modifier is a covariate that has an interaction with the treatment variable, implying that the treatment efficacies vary across values of such a covariate. In this paper, we present a method for determining a composite variable from a set of baseline covariates, that can have a nonlinear association with the treatment outcome, and acts as a composite treatment effect modifier. We introduce a parsimonious generalization of the single-index models that targets the effect of the interaction between the treatment conditions and the vector of covariates on the outcome, a single-index model with multiple-links (SIMML) that estimates a single linear combination of the covariates (i.e., a single-index), with treatment-specific nonparametric link functions. The approach emphasizes a focus on the treatment-by-covariates interaction effects on the treatment outcome that are relevant for making optimal treatment decisions. Asymptotic results for estimator are obtained under possible model misspecification. A treatment decision rule based on the derived single-index is defined, and it is compared to other methods for estimating optimal treatment decision rules. An application to a clinical trial for the treatment of depression is presented.

The COVID-19 pandemic has convulsed human communities across the globe like no previous event in history. Family therapists, paradoxically, given the core of their work is with systems, are also experiencing upheaval in professional and personal lives, trying to work amidst a society in chaos. This paper offers a collection of reflections by systemic and family therapists from diverse cultures and contexts penned in the midst of the pandemic. The main intention in distilling these narratives is to preserve the 'cultural diversity' and 'ecological position' of the contributors, guided by phenomenology, cultural ecology, and systemic worldviews of 'experiencing.' The second intention is to 'unite' promoting solidarity in this isolating situation by bringing each story together, creating its own metaphor of a family: united, connected, stronger. As a cross-cultural family practitioner, with a strong mission for collaboration, the lead author acknowledges the importance of Context - the nation and location of the experience; Culture - the manner in which culture impacts on experience; Collaboration - enhancing partnership, enriching knowledge, and mapping the journey's direction; and Connectedness - combating isolation while enhancing unity. Since the key transmission of culture is through language, raw reflections were sought initially in the practitioners' own language, which were translated for an English-speaking readership. These narratives are honest and rich descriptions of the authors' lived experiences, diverse and distinctive. The contributors trust colleagues will find these reflections helpful, validating and acknowledging the challenges of this unique period in history.

A common coordinate space enabling comparison across individuals is vital to understanding human brain organization and individual differences. By leveraging dimensionality reduction algorithms, high-dimensional fMRI data can be represented in a low-dimensional space to characterize individual features. Such a representative space encodes the functional architecture of individuals and enables the observation of functional changes across time. However, determining comparable functional features across individuals in resting-state fMRI in a way that simultaneously preserves individual-specific connectivity structure can be challenging. In this work we propose scalable joint embedding to simultaneously embed multiple individual brain connectomes within a common space that allows individual representations across datasets to be aligned. Using Human Connectome Project data, we evaluated the joint embedding approach by comparing it to the previously established orthonormal alignment model. Alignment using joint embedding substantially increased the similarity of functional representations across individuals while simultaneously capturing their distinct profiles, allowing individuals to be more discriminable from each other. Additionally, we demonstrated that the common space established using resting-state fMRI provides a better overlap of task-activation across participants. Finally, in a more challenging scenario - alignment across a lifespan cohort aged from 6 to 85 - joint embedding provided a better prediction of age (r2 = 0.65) than the prior alignment model. It facilitated the characterization of functional trajectories across lifespan. Overall, these analyses establish that joint embedding can simultaneously capture individual neural representations in a common connectivity space aligning functional data across participants and populations and preserve individual specificity.

A previously healthy 15-year-old boy presented with 3 months of progressive psychosis, insomnia, back and groin pain, and hyperhidrosis. On examination, the patient was disheveled, agitated, and soaked with sweat, with systolic blood pressure in the 160s and heart rate in the 130s. Aside from occasional auditory and visual hallucinations, his neurologic examination was normal. The patient was admitted for an extensive workup, including MRI of the brain and spine and lumbar puncture, which were normal. Through collaboration with various pediatric specialists, including psychiatry and neurology, a rare diagnosis was ultimately unveiled.

Importance/UNASSIGNED:The Modular Approach to Therapy for Children (MATCH) was developed to address the comorbidities common among clinically referred youth, with beneficial outcomes shown in 2 US randomized clinical trials, where it outperformed both usual clinical care and single disorder-specific treatments. Objective/UNASSIGNED:To determine whether MATCH training of clinicians would result in more use of empirically supported treatment (EST) and better clinical outcomes than usual care (UC) in the publicly funded, multidisciplinary context of New Zealand. Design, Setting, and Participants/UNASSIGNED:This multisite, single-blind, computer-randomized clinical effectiveness trial compared MATCH with UC in child and adolescent mental health services in 5 regions of New Zealand. Recruitment occurred from March 2014 to July 2015, and a 3-month follow-up assessment was completed by May 2016. Clinicians at participating child and adolescent mental health services were randomized (1:1) to undertake training in MATCH or to deliver UC, and young people with anxiety, depression, trauma-related symptoms, or disruptive behavior seeking treatment at child and adolescent mental health services were randomized (1:1) to receive MATCH or UC. Participants and research assistants were blind to allocation. Data analysis was performed from April 2016 to July 2017. Interventions/UNASSIGNED:MATCH comprises EST components for flexible management of common mental health problems. UC includes case management and psychological therapies. Both can include pharmacotherapy. Main Outcomes and Measures/UNASSIGNED:There were 3 primary outcomes: trajectory of change of clinical severity, as measured by weekly ratings on the Brief Problem Monitor (BPM); fidelity to EST content, as measured by audio recordings of therapy sessions coded using the Therapy Integrity in Evidence Based Interventions: Observational Coding System; and efficiency of service delivery, as measured by duration of therapy (days) and clinician time (minutes). Results/UNASSIGNED:The study included 65 clinicians (mean age, 38.7 years; range, 23.0-64.0 years; 54 female [83%]; MATCH, 32 clinicians; UC, 33 clinicians) and 206 young people (mean age, 11.2 years; range 7.0-14.0 years; 122 female [61%]; MATCH, 102 patients; UC, 104 patients). For the BPM total ratings for parents, there was a mean (SE) slope of -1.04 (0.14) (1-year change, -6.12) in the MATCH group vs -1.04 (0.10) (1-year change, -6.17) in the UC group (effect size, 0.00; 95% CI, -0.27 to 0.28; P = .96). For the BPM total for youths, the mean (SE) slope was -0.74 (0.15) (1-year change, -4.35) in the MATCH group vs -0.73 (0.10) (1-year change, -4.32) in the UC group (effect size, -0.02; 95% CI, -0.30 to 0.26; P = .97). Primary analyses (intention-to-treat) showed no difference in clinical outcomes or efficiency despite significantly higher fidelity to EST content in the MATCH group (58 coded sessions; mean [SD], 80.0% [20.0%]) than the UC group (51 coded sessions; mean [SD], 57.0% [32.0%]; F(1,108) = 23.0; P < .001). With regard to efficiency of service delivery, there were no differences in total face-to-face clinician time between the MATCH group (mean [SD], 806 [527] minutes) and the UC group (mean [SD], 677 [539] minutes) or the overall duration of therapy between the MATCH group (mean [SD], 167 [107 days]) and the UC group (mean [SD], 159 [107] days). Conclusions and Relevance/UNASSIGNED:MATCH significantly increased adherence to EST practices but did not improve outcomes or efficiency. The nonsuperiority of MATCH may be attributable to high levels of EST use in UC in New Zealand. Trial Registration/UNASSIGNED:Australian New Zealand Clinical Trials Registry Identifier: ACTRN12614000297628.