Faculty Bibliography

Autism Spectrum Disorder (ASD) is a phenotypically and etiologically heterogeneous developmental disorder typically diagnosed around 4 years of age. The development of biomarkers to help in earlier, presymptomatic diagnosis could facilitate earlier identification and therefore earlier intervention and may lead to better outcomes, as well as providing information to help better understand the underlying mechanisms of ASD. In this study, magnetic resonance imaging (MRI) scans of infants at high familial risk, from the Infant Brain Imaging Study (IBIS), at 6, 12 and 24 months of age were included in a morphological analysis, fitting a mixed-effects model to Tensor Based Morphometry (TBM) results to obtain voxel-wise growth trajectories. Subjects were grouped by familial risk and clinical diagnosis at 2 years of age. Several regions, including the posterior cingulate gyrus, the cingulum, the fusiform gyrus, and the precentral gyrus, showed a significant effect for the interaction of group and age associated with ASD, either as an increased or a decreased growth rate of the cerebrum. In general, our results showed increased growth rate within white matter with decreased growth rate found mostly in grey matter. Overall, the regions showing increased growth rate were larger and more numerous than those with decreased growth rate. These results detail, at the voxel level, differences in brain growth trajectories in ASD during the first years of life, previously reported in terms of overall brain volume and surface area.

South Asians, who are at a disproportionately greater risk of atherosclerotic CVD (ASCVD), represent a rapidly growing population in the USA. The relationship between dairy products, a major component of South Asian diets, and body composition - an established risk factor for ASCVD, is unclear. The aim of the present study was to examine associations between dairy intake and multiple measures of body composition (BMI, waist and hip circumference, waist:hip ratio, abdominal lean mass, subcutaneous, visceral, and intermuscular fat areas) among South Asian adults in the USA. A baseline analysis was conducted using existing data from the Mediators of Atherosclerosis in South Asians Living in America cohort. In women, the highest (>1·9 servings/d) v. lowest (<1 serving/d) tertile of dairy intake was associated with 53 % lower odds of a waist circumference >80 cm (95 % CI 0·25, 0·89, Pfor trend<0·05). No associations were observed between dairy intake and measures of body composition. However, >3 servings of low-fat yogurt/week was associated with a 9·9 cm2 lower visceral fat area (95 % CI -19·07, -0·72, P<0·05) and 2·3 cm2 lower intermuscular fat area (95 % CI -3·76, -0·79, P<0·05) as compared with those with three servings/week. Milk and cheese were not associated with body composition measures. These analyses suggest that higher consumption of low-fat yogurt is associated with lower visceral and intermuscular fat in the whole sample, and women with higher dairy intake have lower waist circumference. Our study supports dietary incorporation of dairy products, and recognises the utility of multidimensional measures of central adiposity.

Binge drinking and age at first full drink (AFD) of alcohol prior to 21 years (AFD < 21) have been linked to neuroanatomical differences in cortical and subcortical grey matter (GM) volume, cortical thickness, and surface area. Despite the importance of understanding network-level relationships, structural covariation patterns among these morphological measures have yet to be examined in relation to binge drinking and AFD < 21. Here, we used the Joint and Individual Variance Explained (JIVE) method to characterize structural covariation patterns common across and specific to morphological measures in 293 participants (149 individuals with past-12-month binge drinking and 144 healthy controls) from the Human Connectome Project (HCP). An independent dataset (Nathan Kline Institute Rockland Sample; NKI-RS) was used to examine reproducibility/generalizability. We identified a reproducible joint component dominated by structural covariation between GM volume in the brainstem and thalamus proper, and GM volume and surface area in prefrontal cortical regions. Using linear mixed regression models, we found that participants with AFD < 21 showed lower joint component scores in both the HCP (beta = 0.059, p-value = 0.016; Cohen's d = 0.441) and NKI-RS (beta = 0.023, p-value = 0.040, Cohen's d = 0.216) datasets, whereas the individual thickness component associated with binge drinking (p-value = 0.02) and AFD < 21 (p-value < 0.001) in the HCP dataset was not statistically significant in the NKI-RS sample. Our findings were also generalizable to the HCP full sample (n = 880 participants). Taken together, our results show that use of JIVE analysis in high-dimensional, large-scale, psychiatry-related datasets led to discovery of a reproducible cortical and subcortical structural covariation pattern involving brain regions relevant to thalamic-PFC-brainstem neural circuitry which is related to AFD < 21 and suggests a possible extension of existing addiction neurocircuitry in humans.

Coronavirus disease 2019 (COVID-19) was recently declared a pandemic by the WHO. This outbreak threatens not only physical health but also has significant repercussions on mental health. In recent world history, major infectious outbreaks were associated with severe mental health sequelae, including suicide. In this study, we systematically review the literature on suicidal outcomes during major international respiratory outbreaks, including COVID-19. We reviewed descriptive and analytic articles addressing suicide during major international respiratory outbreaks. We searched PubMed, Medline, Embase, Scopus, and PsycInfo databases and then utilized an independent method for study selection by a pair of reviewers. Two reviewers completed data abstraction and conducted a narrative summary of the findings. Our search generated 2,153 articles. Nine studies (three descriptive, five analytical, and one with mixed methodology) were eligible. The included studies were heterogeneous, divergent in methods, and with a low degree of evidence. Deducing an association between pandemics, suicide, and suicide-related outcomes remains thus poorly supported. Future research with better methodological characteristics, the use of longitudinal studies, and a focus on suicide as the primary outcome would allow for an in-depth understanding and formulation of the scope of this problem.

In the above published article there was an error in the abstract, the sentence should read as follows: "Meditation was associated with decreased connectivity within DMN and between DMN and somatomotor network and with increased connectivity between DMN and frontoparietal network (FPN) as well as ventral attention network (VAN)." The authors apologise for this error.

New large neuroimaging studies, such as the Adolescent Brain Cognitive Development study (ABCD) and Human Connectome Project (HCP) Development studies are adopting a new T1-weighted imaging sequence with prospective motion correction (PMC) in favor of the more traditional 3-Dimensional Magnetization-Prepared Rapid Gradient-Echo Imaging (MPRAGE) sequence. Here, we used a developmental dataset (ages 5-21, N = 348) from the Healthy Brain Network (HBN) Initiative to directly compare two widely used MRI structural sequences: one based on the Human Connectome Project (MPRAGE) and another based on the ABCD study (MPRAGE+PMC). We aimed to determine if the morphometric measurements obtained from both protocols are equivalent or if one sequence has a clear advantage over the other. The sequences were also compared through quality control measurements. Inter- and intra-sequence reliability were assessed with another set of participants (N = 71) from HBN that performed two MPRAGE and two MPRAGE+PMC sequences within the same imaging session, with one MPRAGE (MPRAGE1) and MPRAGE+PMC (MPRAGE+PMC1) pair at the beginning of the session and another pair (MPRAGE2 and MPRAGE+PMC2) at the end of the session. Intraclass correlation coefficients (ICC) scores for morphometric measurements such as volume and cortical thickness showed that intra-sequence reliability is the highest with the two MPRAGE+PMC sequences and lowest with the two MPRAGE sequences. Regarding inter-sequence reliability, ICC scores were higher for the MPRAGE1 - MPRAGE+PMC1 pair at the beginning of the session than the MPRAGE1 - MPRAGE2 pair, possibly due to the higher motion artifacts in the MPRAGE2 run. Results also indicated that the MPRAGE+PMC sequence is robust, but not impervious, to high head motion. For quality control metrics, the traditional MPRAGE yielded better results than MPRAGE+PMC in 5 of the 8 measurements. In conclusion, morphometric measurements evaluated here showed high inter-sequence reliability between the MPRAGE and MPRAGE+PMC sequences, especially in images with low head motion. We suggest that studies targeting hyperkinetic populations use the MPRAGE+PMC sequence, given its robustness to head motion and higher reliability scores. However, neuroimaging researchers studying non-hyperkinetic participants can choose either MPRAGE or MPRAGE+PMC sequences, but should carefully consider the apparent tradeoff between relatively increased reliability, but reduced quality control metrics when using the MPRAGE+PMC sequence.

BACKGROUND:The International Labor Organization (ILO) estimates that 11% of children (ages 5 to 17) worldwide are child laborers. ILO recently drew attention to migrant child laborers as an underreported, but more vulnerable group to adverse outcomes relative to children working locally. Sub-Saharan Africa (SSA) continues to be the continent with the highest rates of child labor, with Ghana registering one of the highest incidence rates at 22%, including unaccompanied child migrants engaged in labor. Adolescent girls make up the majority of unaccompanied rural-to-urban migrants in search of better economic opportunities. Studies document the myriad of serious threats to health and emotional well-being experienced by adolescent girls who migrate to engage in child labor. These threats underline the urgent need for theoretically informed preventive interventions, specifically tailored to address the root causes of female child migrant labor and the needs of girls from economically insecure families and communities. METHODS:A two-arm cluster randomized control trial will be conducted to assess the feasibility, acceptability, and preliminary impact of ANZANSI (family economic empowerment + multiple family groups) among 100 adolescent girls and their caregivers in the Northern Region of Ghana. Ten schools will be randomly selected from a list of eligible schools, and randomized to one of two study arms: (1) control arm (n = 5 schools, n = 50 adolescent-caregiver dyads); (2) treatment arm (n = 5 schools, n = 50 adolescent-caregiver dyads) receiving ANZANSI over a 9-month period. Adolescents (ages 11 to 14) in the same school will be assigned to the same study condition to avoid contamination. DISCUSSION/CONCLUSIONS:The primary aim of the study is to address the urgent need for theoretically and empirically informed interventions that prevent adolescent girls' unaccompanied rural-to-urban migration for child labor. Existing programs are not preventive and primarily target children who already migrated to the city and are living and working on the streets. This study is one of the first studies to pilot test a combination intervention, integrating family economic empowerment targeting household poverty with multiple family groups addressing family cohesion and perceptions on gender norms, child education/labor, all of which are factors, when combined, force girls to drop out of school and migrate. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov ; NCT04231669 ; Registered January 18, 2020.

OBJECTIVE:Implementation of evidence-based treatments in funded trials is often supported by expert case consultation for clinicians; this may be financially and logistically difficult in clinical practice. Might less costly implementation support produce acceptable treatment fidelity and clinical outcomes? METHOD/METHODS:To find out, we trained 42 community clinicians from four community clinics in Modular Approach to Therapy for Children (MATCH), then randomly assigned them to receive multiple lower-cost implementation supports (LC) or expert MATCH consultation plus lower-cost supports (CLC). Clinically referred youths (N = 200; ages 7-15 years, M = 10.73; 53.5% male; 32.5% White, 27.5% Black, 24.0% Latinx, 1.0% Asian, 13.5% multiracial, 1.5% other) were randomly assigned to LC (n = 101) or CLC (n = 99) clinicians, and groups were compared on MATCH adherence and competence, as well as on multiple clinical outcomes using standardized measures (e.g., Child Behavior Checklist, Youth Self-Report) and idiographic problem ratings (Top Problems Assessment). RESULTS:Coding of therapy sessions revealed substantial therapist adherence to MATCH in both conditions, with significantly stronger adherence in CLC; however, LC and CLC did not differ significantly in MATCH competence. Trajectories of change on all outcome measures were steep, positive, and highly similar for LC and CLC youths, with no significant differences; a supplemental analysis of posttreatment outcomes also showed similar LC and CLC posttreatment scores, with most LC-CLC differences nonsignificant. CONCLUSIONS:The findings suggest that effective implementation of a complex intervention in clinical practice may be supported by procedures that are less costly and logistically challenging than expert consultation. (PsycInfo Database Record (c) 2020 APA, all rights reserved).