Faculty Bibliography

Allostatic load provides a valuable framework for examining how cumulative stress impacts multiple physiological systems simultaneously, making it a powerful tool for understanding the mechanisms through which stress contributes to adverse pregnancy outcomes. This multisystem perspective is especially important during pregnancy, a period characterized by heightened vulnerability to stress and significant physiological changes that can themselves contribute to allostatic load. Although the impact of allostatic load during pregnancy is well documented, the mechanisms and moderators involved by trimester remain unclear, particularly given wide variation in social, cultural, and structural determinants of maternal health worldwide. In this review, we discuss the progress that has been made over the past two decades in studying prenatal allostatic load and describe the clinical implications of this by highlighting sensitive periods of interest throughout gestation. Despite these advances, key questions remain regarding the intergenerational transmission of risk, the specificity of findings to the pregnancy period, and the role of factors that often accompany elevated allostatic load, such as poor sleep, limited social support, systemic inequities, and comorbid mental or physical health conditions, which may manifest differently across global contexts. Most existing studies have been conducted in high-income settings, yet the burden of adverse pregnancy outcomes is greatest in low- and middle-income countries, where structural, environmental, and social stressors are pervasive. Expanding this framework to include diverse global contexts is essential for understanding how social inequities and chronic stressors shape maternal physiology worldwide. We discuss these issues and offer directions for future research, including the goal of developing a standardized metric for measuring allostatic load - one that we believe will advance the field's understanding of how prenatal allostatic load markers by trimester relate to maternal and infant outcomes.

The perinatal period represents a time of profound neurobiological, cognitive, and emotional change. While evidence points to the neuroplasticity of matrescence as adaptive in supporting the transition to motherhood, the perinatal period also entails subjective reports of cognitive difficulty known as "mommy brain" as well as a heightened vulnerability to mental health challenges. The role of cognition in the etiology of postpartum depression is a promising area of investigation into targets for maternal mental health intervention, considering evidence that important cognitive changes occur during the perinatal period, and given that cognitive alterations are key features of mood disorders. Here we review evidence for cognitive plasticity in matrescence, with a particular focus on executive function (EF) given its overlapping significance for adaptation to parenthood, central role in managing the mental load of motherhood, and implications in mood regulation and mood disorders. We also review evidence for EF changes in perinatal depression and major depressive disorder more broadly. Despite the strong association between EF impairments and major depressive disorder, research on EF changes in perinatal depression remains limited. Understanding normative EF changes during this period is essential for better understanding the relationship between EF, perinatal depression, and the mental load of motherhood. Consideration for these cognitive, neurobiological, and psychosocial factors of matrescence is critical for addressing maternal mental health and developing interventions that support parental well-being.

The rapid development and clinical use of brain stimulation has renewed debates about whether to define and accredit a pathway for clinical subspecialty training. To address this, the Brain Stimulation Subspecialty Summits (BraSSS) were convened in 2023 and 2024, featuring international leaders in brain stimulation across psychiatry, neurology, neurosurgery, psychology, and neuroscience. Both meetings included two days of lectures and debates focused on clinical content, emerging science, and educational standards. The 2023 meeting was held at Brigham & Women's Hospital and Harvard University, where 54 attendees reached a consensus that the subspecialty is adequately developed to warrant formal recognition and initiated debates regarding the name and scope of the subspecialty. The 2024 meeting was held at Stanford University, where 56 attendees developed a content outline, organized committees, and reached a consensus to form an independent society focused on developing and maintaining unbiased accreditation standards. "Brain stimulation" was chosen democratically as the name of the subspecialty. Clinicians from multiple primary specialties may enter this subspecialty training track. While individual programs may have a specific area of focus (e.g. interventional psychiatry or epilepsy), our expectation is that accredited brain stimulation programs will provide training experiences that cross specialties and stimulation modalities. Several potential unintended consequences were discussed, and plans were developed to address them. Overall, subspecialty recognition was deemed to be beneficial to the brain stimulation field, with a goal to launch an associated society and start the process of accrediting existing US and Canadian programs in 2025.

Preterm birth poses a major public health challenge, with significant and heterogeneous developmental impacts. Latent profile analysis was applied to the National Institutes of Health Toolbox performance of 1891 healthy prematurely born children from the Adolescent Brain and Cognitive Development study (970 boys, 921 girls; 10.00 ± 0.61 years; 1.3% Asian, 13.7% Black, 17.5% Hispanic, 57.0% White, 10.4% Other). Three distinct neurocognitive profiles emerged: consistently performing above the norm (19.7%), mixed scores (41.0%), and consistently performing below the norm (39.3%). These profiles were associated with lasting cognitive, neural, behavioral, and academic differences. These findings underscore the importance of recognizing diverse developmental trajectories in prematurely born children, advocating for personalized diagnosis and intervention to enhance care strategies and long-term outcomes for this heterogeneous population.

OBJECTIVE/UNASSIGNED:To examine the transition to telemental health within the behavioral health program of a large federally qualified health center, The Family Health Centers at NYU Langone, in the 3 months following the onset of the COVID-19 pandemic-specifically impacts on show rates and access to care. METHODS/UNASSIGNED:Demographic and clinical information for all scheduled visits was collected for two time periods: the telemental health period, March 16, 2020-July 16, 2020 (46,878 visits, 5,183 patients), and a comparison period, March 15, 2019-July 16, 2019 (47,335 visits, 5,190 patients). Data collected included modality, appointments scheduled/completed/cancelled/no-showed, age, gender, race, language, and diagnosis. Generalized estimating equations with a compound symmetry correlation structure and logit link were used for analysis. RESULTS/UNASSIGNED:= 0.01), which was eliminated by implementation of telemental health. CONCLUSIONS/UNASSIGNED:This study supports the use telemental health to increase access for all patients, including those from under-represented, lower socioeconomic status backgrounds.

INTRODUCTION/UNASSIGNED:Comorbidity between disorders is pervasive, and its relationship to the main conditions under investigation needs to be addressed for robust causal inference. However, many clinical etiologic studies still fail to capitalize on the theoretical advancements and improved recommendations regarding covariate adjustment in this context. Specifically, studies often lack explicit causal assumptions about the role of comorbidity in exposure-outcome relationships, potentially leading to inappropriate accounting for comorbid conditions and resulting in biased effect estimates. This study aims to explore common causal structures involving comorbidity and provide guidance for handling it in etiologic research. METHODS/UNASSIGNED:We use Directed Acyclic Graphs (DAGs) to depict six causal scenarios involving comorbidity as a confounder, mediator, collider, or consequence of the exposure or outcome, illustrated with real-world clinical examples. Simulations were conducted across 5,000 iterations for each scenario, assessing the impact of conditioning on comorbidity under four effect measures (risk difference, odds ratio, risk ratio, and mean difference). Bias was evaluated by comparing adjusted and unadjusted effect estimates to the true values. RESULTS/UNASSIGNED:The impact of conditioning on comorbidity varied by its causal role. Adjusting for comorbidity mitigated bias when it acted as a confounder but introduced bias when it was a mediator or collider. In instances where comorbidity was a consequence of either the exposure or outcome, the decision to adjust depended on the research objectives and could vary across effect measures. DISCUSSION/UNASSIGNED:Explicit causal assumptions are essential for selecting appropriate analytical strategies in etiologic research. This study provides practical guidance on analytical handling of the measures of comorbidity, highlighting the need for study design and analysis to align with research objectives. Future work should address more complex causal structures and other methodological challenges.

BACKGROUND/UNASSIGNED:Attention Deficit Hyperactivity Disorder (ADHD) among children younger than 6 years is quite impairing, nearly half these youth with ADHD experience school exclusion from mainstream preschool classes due to related emotional and behavioral outbursts. While a range of behavior rating scales and subjective measures are used to assess these youth, objective methods of assessment and prediction derived from technology have potential to improve therapeutic and academic interventions outcomes for these youths. We hypothesized that biometric sensors would provide objective, highly sensitive and specific information regarding the physiological status of children prior to an impulsive outburst and could be feasibly implemented using a wearable device in the special education classroom. METHODS/UNASSIGNED: = 5 youth from the first grade) of a specialized therapeutic day-school for youth with ADHD and other psychiatric and developmental disorders to examine feasibility of obtaining continuous physiological data associated with behavioral and emotional outbursts through smartwatch use. Children wore a sensor watch during their daily classroom activities for two weeks and trained observers collected data using behavioral logs. Using Ecological Momentary Assessment methodology, to examine correlations between objective sensor data and observer observation. Data collected from parents regarding prior night's sleep was also examined. RESULTS/UNASSIGNED:All participants completed the study. With a few tolerability or palatability issues. Associations were found between physiological and behavioral/questionnaire data. The methodology holds promise for reliably measuring behavioral and emotional outbursts in young children. CONCLUSIONS/UNASSIGNED:among severely dysregulated pre-school aged youth throughout a full school day. This study established the feasibility of utilizing sensor derived physiological data as an objective biomarker of ADHD within the special education therapeutic classroom. Further research with larger samples is required to build a more robust and personalized AI predictive model.