Faculty Bibliography

Iron in the brain is essential to neurodevelopmental processes, as it supports neural functions, including processes of oxygen delivery, electron transport, and enzymatic activity. However, the development of brain iron before birth is scarcely understood. By estimating R2* (1/T2*) relaxometry from a sizable sample of fetal multiecho echo-planar imaging (EPI) scans, which is the standard sequence for functional magnetic resonance imaging (fMRI), across gestation, this study investigates age and sex-related changes in iron, across regions and tissue segments. Our findings reveal that brain R2* levels significantly increase throughout gestation spanning many different regions, except the frontal lobe. Furthermore, females exhibit a faster rate of R2* increase compared to males, in both gray matter and white matter. This sex effect is particularly notable within the left insula. This work represents the first MRI examination of iron accumulation and sex differences in developing fetal brains. This is also the first study to establish R2* estimation methodology in fetal multiecho functional MRI.

We aimed to examine the role of shared decision-making (SDM) in family participation in the treatment of adolescents and young adults with first-episode psychosis (FEP). Based on responses of 144 family members of OnTrackNY (OTNY) participants, we divided the sample into low participators and high participators. We calculated the total SDM score for each participant by summing the ratings across items inquiring about SDM and assessed the extent to which loved ones encouraged family participation in their care. Our results indicated that the level of loved ones' encouragement was significantly related to family participation. When controlling for loved ones' encouragement, we found that the total SDM score was significantly higher in the high participator group. These findings suggest that SDM may be influenced by loved ones' attitudes towards family involvement in treatment and SDM may play a role in promoting family participation in care for individuals with FEP.

Individuals with attention-deficit/hyperactivity disorder (ADHD) exhibit varied responses to pharmacological treatments (e.g. stimulants and non-stimulants). Accurately and promptly detecting treatment-related improvements, response failure, or deterioration poses significant challenges, as current monitoring primarily relies on subjective ratings. In this commentary, we critically evaluate the evidence supporting the use of QbTest for objectively monitoring ADHD treatment response in clinical practice. We also offer recommendations for future research, advocating for rigorous clinical trials and longitudinal studies to further explore the potential utilisation of QbTest and other tools for monitoring treatment responses in individuals with ADHD.

INTRODUCTION/BACKGROUND:High tobacco smoking prevalence in people with low SES or serious psychological distress (SPD) in the U.S. may increase cardiovascular disease (CVD) risk among these marginalized subpopulations. We estimate how smoking disparities contribute to CVD disparities. METHODS:Using the Simulation of Tobacco and Nicotine Outcomes and Policy model, a validated microsimulation model of tobacco use and clinical outcomes, we used 2004-2019 data from the National Health Interview Survey to first compare 20-year cumulative CVD incidence for 40-year-olds by sex, smoking status, and marginalized subpopulation membership. Second, we simulated the marginalized subpopulations with representative age, sex, and smoking status distributions to estimate 20-year cumulative CVD incidence under status quo and counterfactual scenarios. In the counterfactual scenario, smoking prevalence and trends in the low SES and SPD subpopulations match those in the higher SES and non-SPD subpopulations, respectively. RESULTS:The model-projected impact of smoking on 20-year cumulative CVD incidence is considerably larger than the impact of low SES or SPD; for example, among 40-year-old males, cumulative CVD incidence is 28.3% for low SES people who currently smoke, 13.0% for low SES people who never smoke, and 26.2% for higher SES people who currently smoke. In the second analysis, in the status quo scenario, model-projected 20-year cumulative CVD incidence is 19.3% for low SES and 22.1% for SPD; in the counterfactual scenario, it is 18.1% for low SES and 19.6% for SPD. CONCLUSIONS:Interventions focused on reducing smoking disparities could substantially reduce CVD in marginalized subpopulations.

The differential influence of sex on premature mortality in schizophrenia is unclear. This study assessed the differences in all-cause and specific cause mortality risks in people with schizophrenia compared to several control groups stratified by sex. We conducted a PRISMA 2020-compliant systematic review and random-effects meta-analysis of cohort studies assessing mortality relative risk (RR) for people with schizophrenia, comparing by sex. We measured publication bias and conducted a quality assessment through the Newcastle-Ottawa scale. We meta-analyzed 43 studies reporting on 2,700,825 people with schizophrenia. Both males and females with schizophrenia had increased all-cause mortality vs. comparison groups (males, RR=2.62, 95%CI 2.35-2.92; females, RR=2.56, 95%CI 2.27-2.87), suicide (males, RR=9.02, 95%CI 5.96-13.67; females, RR=12.09, 95%CI 9.00-16.25), and natural cause mortality (males, RR=2.11, 95%CI 1.88-2.38; females, RR=2.14, 95%CI 1.93-2.38). No statistically significant differences in sex-dependent mortality risk emerged. There was an age-group-dependent increased mortality risk in females < 40 years vs. >/=40 years old (RR=4.23/2.17), and significantly higher risk of death due to neurological disorders (dementia) in males vs. females (RR=5.19/2.40). Increased mortality risks were often associated with specific modifiable risk factors. The increased mortality risk did not improve over time, calling for more studies to identify modifiable factors, and for better physical healthcare for males and females with schizophrenia.

Although parenting interventions are recommended by major clinical guidelines for managing children's behavioral challenges, including ADHD, their uptake in clinical practice remains limited. Building on the contributions of Hodson et al. and Nijboer et al. in the current issue of this journal, we here explore solutions to enhance this uptake. We first summarize the usual suspects: solutions that could be implemented in our current mental healthcare systems. Digital and brief interventions could remove obstacles that are often experienced with traditional parenting interventions, and nudges inspired by behavioral economic theories can help remove dynamic, time-varying barriers experienced by parents that may arise during the course of the intervention. We then zoom out and present a paradigmatic challenge. The current narrative surrounding behavioral problems like ADHD is predominantly biomedical, which tends to elevate expectations for treatments such as medication while simultaneously diminishing confidence in parenting interventions. From this perspective, it is unsurprising that engagement issues arise when a context-focused intervention such as parent training is proposed as a solution to a decontextualized problem like ADHD. Adopting a truly balanced biopsychosocial-societal perspective on behavioral problems like ADHD would better reflect their complex and heterogeneous etiology, and would broaden the scope for interventions, such as parenting programs, that focus on optimizing children's contextual environments.

BACKGROUND:Randomised controlled trials (RCTs) evaluating ADHD medications often use strict eligibility criteria, potentially limiting generalisability to patients in real-world clinical settings. We aimed to identify the proportion of individuals with ADHD who would be ineligible for medication RCTs and evaluate differences in treatment patterns and clinical and functional outcomes between RCT-eligible and RCT-ineligible individuals. METHODS:We used multiple Swedish national registries to identify individuals with ADHD, aged at least 4 years at the age of diagnosis, initiating pharmacological treatment between Jan 1, 2007, and Dec 31, 2019, with follow-up up to Dec 31, 2020. Hypothetical RCT ineligibility was established using exclusion criteria from the international MED-ADHD dataset, including 164 RCTs of ADHD medications. Cox models evaluated differences in medication switching and discontinuation within 1 year between eligible and ineligible individuals. Quasi-Poisson models compared eligible and ineligible individuals on rates of psychiatric hospitalisations, injuries or accidents, and substance use disorder within 1 year of initiating ADHD medications. People with lived experience of ADHD were not involved in the research and writing process. FINDINGS/RESULTS:Of 189 699 individuals included in the study cohort (112 153 men and boys [59%] and 77 546 women and girls [41%]; mean age 21·52 years [SD 12·83; range 4-68]) initiating ADHD medication, 53% (76 477 [74%] of 103 023 adults [aged >17 years], 12 658 [35%] of 35 681 adolescents [aged 13-17 years], and 10 643 [21%] of 50 995 children [aged <13 years]) would have been ineligible for RCT participation. Ethnicity data were not available. Ineligible individuals had a higher likelihood of treatment switching (hazard ratio 1·14, 95% CI 1·12-1·16) and a decreased likelihood of medication discontinuation (0·96, 0·94-0·98) compared with eligible individuals. Individuals ineligible for RCTs had significantly higher rates of psychiatric hospitalisations (ncidence rate ratio 9·68, 95% CI 9·57-9·78) and specialist care visits related to substance use disorder (14·78, 14·64-14·91), depression (6·00, 5·94-6·06), and anxiety (11·63, 11·56-11·69). INTERPRETATION/CONCLUSIONS:Individuals ineligible for ADHD medication trials face higher risks of adverse outcomes. This study provides the first empirical evidence for the limited generalisability of ADHD RCTs to real-world clinical populations, by applying eligibility criteria extracted from a comprehensive dataset of RCTs to a large real-world cohort. Triangulating evidence from RCTs and real-world studies is crucial to inform rigorous evidence-based treatment guidelines. FUNDING/BACKGROUND:National Institute of Healthcare and Research, European Union's Horizon 2020, and Swedish Research Council.

PURPOSE OF REVIEW/OBJECTIVE:There is a mental health crisis affecting youth, and the utility of existing treatments is often limited by lack of effectiveness and tolerability. The aim of this review is to report on outcomes of clinical trials for psilocybin-assisted psychotherapy for adults with depression and MDMA-assisted psychotherapy for adults with post-traumatic stress disorder (PTSD) and discuss recommendations for exploring these treatments in adolescent populations. RECENT FINDINGS/RESULTS:There have been encouraging data supporting the use of psilocybin-assisted psychotherapy for depression, including previously treatment-resistant symptoms. MDMA-assisted psychotherapy is showing similar promise in treating PTSD, with excellent response and remission rates that appear durable. However, no studies have looked at the use of these treatments in younger patients. The safety and efficacy of psychedelic- and MDMA-assisted psychotherapies should be investigated in adolescents, especially considering the burden of untreated and undertreated psychiatric illness in youth, and the benefits of a potentially earlier, more effective, and more tolerable recovery process. Research and implementation should be tailored to the needs of this population, and equity and access should be considered at every stage. In this novel and rapidly evolving landscape, the psychiatric community is encouraged to advocate for safe, appropriate, and inclusive inquiry into, and application and scaling of these treatment models in adolescent patients.

Evidence suggests that maternal health in pregnancy is associated with autism in the offspring. However, most diagnoses in pregnant women have not been examined, and the role of familial confounding remains unknown. Our cohort included all children born in Denmark between 1998 and 2015 (n = 1,131,899) and their parents. We fitted Cox proportional hazard regression models to estimate the likelihood of autism associated with each maternal prenatal ICD-10 diagnosis, accounting for disease chronicity and comorbidity, familial correlations and sociodemographic factors. We examined the evidence for familial confounding using discordant sibling and paternal negative control designs. Among the 1,131,899 individuals in our sample, 18,374 (1.6%) were diagnosed with autism by the end of follow-up. Across 236 maternal diagnoses we tested (prevalence ≥0.1%), 30 were significantly associated with autism after accounting for sociodemographic factors, disorder chronicity and comorbidity, and correction for multiple testing. This included obstetric, cardiometabolic and psychiatric disorders (for example, diabetes in pregnancy (hazard ratio (HR) 1.19, 95% confidence interval (CI) 1.08-1.31) and depression (HR 1.49, 95% CI 1.27-1.75)), previously shown to be associated with autism. Family-based analyses provided strong evidence for familial confounding in most of the observed associations. Our findings indicate pervasive associations between maternal health in pregnancy and offspring autism and underscore that these associations are largely attributable to familial confounding.