Faculty Bibliography

A novel functional additive model is proposed, which is uniquely modified and constrained to model nonlinear interactions between a treatment indicator and a potentially large number of functional and/or scalar pretreatment covariates. The primary motivation for this approach is to optimize individualized treatment rules based on data from a randomized clinical trial. We generalize functional additive regression models by incorporating treatment-specific components into additive effect components. A structural constraint is imposed on the treatment-specific components in order to provide a class of additive models with main effects and interaction effects that are orthogonal to each other. If primary interest is in the interaction between treatment and the covariates, as is generally the case when optimizing individualized treatment rules, we can thereby circumvent the need to estimate the main effects of the covariates, obviating the need to specify their form and thus avoiding the issue of model misspecification. The methods are illustrated with data from a depression clinical trial with electroencephalogram functional data as patients' pretreatment covariates.

BACKGROUND/UNASSIGNED:Violence against psychiatry trainees is an important issue to the medical profession. However, this matter has been under researched, especially in Asian countries. AIM/UNASSIGNED:We aimed to explore the rates and factors associated with violence against psychiatric trainees in Asian countries. METHODS/UNASSIGNED:An online, 15 item cross sectional pilot survey was designed and disseminated among psychiatric trainees in Asia through the World Network of Psychiatric Trainees, national and local networks of trainees, and social media. The questionnaire sought to enquire about the experience of physical, verbal, and sexual assaults and its impact. Data were analyzed using Statistical Package for the Social Sciences (SPSS) V20.0. RESULTS/UNASSIGNED:= 0.002). CONCLUSION/UNASSIGNED:Violence against psychiatric trainees seems common across Asian countries. Our findings call for further systematic investigation of the phenomenon and suggest the need to develop programs to protect psychiatric trainees against the threat of violence and its subsequent psychological complications.

Fetal motor behavior is an important clinical indicator of healthy development. However, our understanding of associations between fetal behavior and fetal brain development is limited. To fill this gap, this study introduced an approach to automatically and objectively classify long durations of fetal movement from a continuous four-dimensional functional magnetic resonance imaging (fMRI) data set, and paired behavior features with brain activity indicated by the fMRI time series. Twelve-minute fMRI scans were conducted in 120 normal fetuses. Postnatal motor function was evaluated at 7 and 36 months age. Fetal motor behavior was quantified by calculating the frame-wise displacement (FD) of fetal brains extracted by a deep-learning model along the whole time series. Analyzing only low motion data, we characterized the recurring coactivation patterns (CAPs) of the supplementary motor area (SMA). Results showed reduced motor activity with advancing gestational age (GA), likely due in part to loss of space (r = -.51, p < .001). Evaluation of individual variation in motor movement revealed a negative association between movement and the occurrence of coactivations within the left parietotemporal network, controlling for age and sex (p = .003). Further, we found that the occurrence of coactivations between the SMA to posterior brain regions, including visual cortex, was prospectively associated with postnatal motor function at 7 months (r = .43, p = .03). This is the first study to pair fetal movement and fMRI, highlighting potential for comparisons of fetal behavior and neural network development to enhance our understanding of fetal brain organization.

Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous disorder with a high degree of psychiatric and physical comorbidity, which complicates its diagnosis in childhood and adolescence. We analyzed registry data from 238,696 persons born and living in Sweden between 1995 and 1999. Several machine learning techniques were used to assess the ability of registry data to inform the diagnosis of ADHD in childhood and adolescence: logistic regression, random Forest, gradient boosting, XGBoost, penalized logistic regression, deep neural network (DNN), and ensemble models. The best fitting model was the DNN, achieving an area under the receiver operating characteristic curve of 0.75, 95% CI (0.74-0.76) and balanced accuracy of 0.69. At the 0.45 probability threshold, sensitivity was 71.66% and specificity was 65.0%. There was an overall agreement in the feature importance among all models (τ > .5). The top 5 features contributing to classification were having a parent with criminal convictions, male sex, having a relative with ADHD, number of academic subjects failed, and speech/learning disabilities. A DNN model predicting childhood and adolescent ADHD trained exclusively on Swedish register data achieved good discrimination. If replicated and validated in an external sample, and proven to be cost-effective, this model could be used to alert clinicians to individuals who ought to be screened for ADHD and to aid clinicians' decision-making with the goal of decreasing misdiagnoses. Further research is needed to validate results in different populations and to incorporate new predictors.

Characterizing the developmental trajectories of children with autism spectrum disorder (ASD) throughout adolescence and across different domains of functioning offers opportunities to improve long-term outcomes. This prospective study explored, for the first time, the evolution of children with ASD-without intellectual disability (ID) in terms of socio-adaptative skills, learning behaviors, executive functioning (EF), and internalizing/externalizing problems, compared to typically developing (TD) peers. Forty-five children with ASD-without ID and 37 matched TD children (aged 7-11) were assessed at baseline and after 5 years. Parents and teachers completed measures on theory of mind (ToM), socialization, daily living skills, learning style, EF, and emotional/behavioural difficulties at both time points. On all the domains assessed, the ASD group performed significantly worse than the TD group, both in childhood and adolescence. Specific changes were noted between baseline and follow-up assessment on adaptive skills, prosocial behavior, emotional control, inhibit, working memory and monitoring. Group membership (ASD/TD) was influenced by peer relationships and inhibit EF variables. These findings have implications for clinical and school settings.

INTRODUCTION AND OBJECTIVES/OBJECTIVE:The opioid overdose epidemic is exacerbated by the emergence of Xylazine as an illicit drug adulterant. Xylazine, a veterinary sedative, can potentiate opioid effects while also causing toxic and potentially fatal side effects. This systematic review aims to assess the impact of Xylazine use and overdoses within the opioid epidemic context. METHOD/METHODS:A systematic search was conducted following PRISMA guidelines to identify relevant case reports, and case series related to Xylazine use. A comprehensive literature search included databases like Web of Science, PubMed, Embase, and Google Scholar, utilizing keywords and Medical Subject Headings (MeSH) terms related to Xylazine. Thirty-four articles met the inclusion criteria for this review. RESULTS:Intravenous (IV) administration was a common route for Xylazine use among various methods, including subcutaneous (SC), intramuscular (IM), and inhalation, with overall doses ranging from 40 mg to 4300 mg. The average dose in fatal cases was 1,200 mg, compared to 525 mg in non-fatal cases. Concurrent administration of other drugs, primarily opioids, occurred in 28 cases (47.5%). Intoxication was identified as a notable concern in 32 out of 34 studies, and treatments varied, with the majority experiencing positive outcomes. Withdrawal symptoms were documented in one case study, but the low number of cases with withdrawal symptoms may be attributed to factors such as a limited number of cases or individual variation. Naloxone was administered in eight cases (13.6%), and all patients recovered, although it should not be misconstrued as an antidote for Xylazine intoxication. Of the 59 cases, 21 (35.6%) resulted in fatal outcomes, with 17 involving Xylazine use in conjunction with other drugs. The IV route was a common factor in six out of the 21 fatal cases (28.6%). CONCLUSION/CONCLUSIONS:This review highlights the clinical challenges associated with Xylazine use and its co-administration with other substances, particularly opioids. Intoxication was identified as a major concern, and treatments varied across the studies, including supportive care, naloxone, and other medications. Further research is needed to explore the epidemiology and clinical implications of Xylazine use. Understanding the motivations and circumstances leading to Xylazine use, as well as its effects on users, is essential for developing effective psychosocial support and treatment interventions to address this public health crisis.

Cognition in preverbal human infants must be inferred from overt motor behaviors such as gaze shifts, head turns, or reaching for objects. However, infant mammals - including human infants - show protracted postnatal development of cortical motor outflow. Cortical control of eye, face, head, and limb movements is absent at birth and slowly emerges over the first postnatal year and beyond. Accordingly, the neonatal cortex in humans cannot generate the motor behaviors routinely used to support inferences about infants' cognitive abilities, and thus claims of developmental continuity between infant and adult cognition are suspect. Recognition of the protracted development of motor cortex should temper rich interpretations of infant cognition and motivate more serious consideration of the role of subcortical mechanisms in early cognitive development.

New-onset psychosis in the pediatric population poses many diagnostic challenges. Given the diversity of underlying causes, which fall under the purview of multiple medical specialties, a timely, targeted, yet thorough workup requires a systematic and coordinated approach. A committee of expert pediatric physicians from the divisions of emergency medicine, psychiatry, neurology, hospitalist medicine, and radiology convened to create and implement a novel clinical pathway and approach to the pediatric patient presenting with new-onset psychosis. Here we provide background and review the evidence supporting the investigations recommended in our pathway to screen for a comprehensive range of etiologies of pediatric psychosis.

BACKGROUND & AIMS/OBJECTIVE:The COVID-19 pandemic created intersecting health risks for incarcerated people with a history of substance use disorder (SUD). To reduce exposure to COVID-19 in prison, several US states enacted decarceration legislation. New Jersey enacted the Public Health Emergency Credit Act (PHECA), granting early release to thousands of incarcerated persons meeting eligibility criteria. This study undertook to explore how large scale decarceration during the pandemic impacted the reentry process for released individuals with SUDs. METHODS:Twenty seven participants involved in PHECA releases - 21 persons released from NJ carceral facilities with past/present SUDs (14 with opioid use disorder, 7 with other SUDs) and 6 reentry service providers acting as key informants - completed phone interviews on PHECA experiences from February-June 2021. Cross-case thematic analysis of transcripts identified common themes and divergent perspectives. RESULTS:Respondents described challenges consistent with long-documented reentry difficulties including housing and food insecurity, difficulty accessing community services, insufficient employment opportunities, and limited access to transportation. Challenges that were pertinent to mass release during a pandemic included limited access to communication technology and community providers and community providers exceeding enrollment capacity. Despite reentry difficulties, respondents identified many areas where prisons and reentry service providers adapted to meet novel challenges presented by mass decarceration during the COVID-19 pandemic. Facilitators made available by prison and reentry provider staff included providing released persons with cell phones, transportation assistance at transit hubs, prescription support for medications for opioid use disorder, and pre-release assistance with ID and benefits through NJ's Joint Comprehensive Assessment Plan. CONCLUSIONS:Formerly incarcerated people with SUDs experienced reentry challenges during PHECA releases similar to those that occur during ordinary circumstances. Despite barriers faced during typical releases and novel challenges unique to mass release during a pandemic, providers made adaptations to support released persons' successful reentry. Recommendations are made based on areas of need identified in interviews, including reentry service provision facilitating housing and food security, employment, medical services, technology fluency, and transportation. In anticipation of future large scale releases, providers will benefit from planning ahead and adapting to address temporary increases in resource demands.

Individuals with autism spectrum disorder (ASD), in addition to the core features of the disease, experience a higher burden of co-occurring medical conditions. This study sought to describe the frequency and distribution of comorbidit conditions in individuals with ASD, and systematically evaluate the possibility that pre- and postnatal exposures (e.g., preterm birth, hypoxia at birth, traumatic brain injury, and fetal alcohol syndrome) associated with ASD may also be linked with distinct comorbidities. We used the SPARK study database, launched by the Simons Foundation Autism Research Initiative (SFARI). Comorbidities considered in the study included neurological, cognitive, psychiatric, and physical conditions. The study sample consisted of 42,569 individuals with ASD and their 11,389 non-ASD siblings (full and half siblings). Majority (74%) of individuals with ASD had at least one comorbidity, and had a greater average number of comorbidities than their non-ASD siblings. Preterm birth and hypoxia at birth were the most common peri-natal exposures in the sample. In logistic regression models adjusted for covariates, these exposures were associated with several distinct comorbidities in ASD cases, including attention and behavior problems, psychiatric and neurological disorders, and growth conditions. A similar pattern of association was also observed in non-ASD siblings. Our findings underscore that individuals with ASD experience a greater burden of comorbidities, which could be partly attributable to the higher rates of perinatal exposures compared to their non-ASD siblings. Study findings, if replicated in other samples, can inform the etiology of comorbidity in ASD.