Faculty Bibliography

Beyond detecting brain lesions or tumors, comparatively little success has been attained in identifying brain disorders such as Alzheimer"™s disease (AD), based on magnetic resonance imaging (MRI). Many machine learning algorithms to detect AD have been trained using limited training data, meaning they often generalize poorly when applied to scans from previously unseen scanners/populations. Therefore, we built a practical brain MRI-based AD diagnostic classifier using deep learning/transfer learning on a dataset of unprecedented size and diversity. A retrospective MRI dataset pooled from more than 217 sites/scanners constituted one of the largest brain MRI samples to date (85,721 scans from 50,876 participants) between January 2017 and August 2021. Next, a state-of-the-art deep convolutional neural network, Inception-ResNet-V2, was built as a sex classifier with high generalization capability. The sex classifier achieved 94.9% accuracy and served as a base model in transfer learning for the objective diagnosis of AD. After transfer learning, the model fine-tuned for AD classification achieved 90.9% accuracy in leave-sites-out cross-validation on the Alzheimer"™s Disease Neuroimaging Initiative (ADNI, 6,857 samples) dataset and 94.5%/93.6%/91.1% accuracy for direct tests on three unseen independent datasets (AIBL, 669 samples / MIRIAD, 644 samples / OASIS, 1,123 samples). When this AD classifier was tested on brain images from unseen mild cognitive impairment (MCI) patients, MCI patients who converted to AD were 3 times more likely to be predicted as AD than MCI patients who did not convert (65.2% vs. 20.6%). Predicted scores from the AD classifier showed significant correlations with illness severity. In sum, the proposed AD classifier offers a medical-grade marker that has potential to be integrated into AD diagnostic practice.

In 2020, we wrote to you of our dedication and vision for this Journal "to be antiracist at every level," outlining the following 6 initiatives "to reshape the Journal to pursue this vision:" (1) Issuing a Call for Papers on racism and its impacts on child development and children's mental health; (2) updating our Guide for Authors to emphasize that we will evaluate articles submitted to the Journal on whether their study designs are inclusive and their discussions consider and address human diversity and structural determinants of health in the context of their research questions and hypotheses; (3) assembling a special collection of Journal articles on bias, bigotry, discrimination, racism, and mental health inequities; (4) accelerating our efforts to make our Editorial Board inclusive and representative of our community of scientists and practitioners as well as the communities we serve; (5) engaging in continuing education and dialogue as an Editorial Board that will include antiracism training and praxis; and (6) critically examining "our editorial and peer review process to ensure it is antiracist."¹ In this Editors' Note, we write to update you on our progress, including a new initiative we started in the past year: (7) a new option for authors to add a statement to their manuscripts regarding the inclusion and diversity initiatives and practices they employed in pursuing their work. With the launch this year of JAACAP Open, the Academy's new open access publication and the newest member of the JAACAP family of journals, we have expanded opportunities to pursue these efforts, and look forward to sharing more about JAACAP Open in future updates.

Maximizing vaccine uptake is critical for the optimal implementation of COVID-19 immunization programs. Indicators of socioeconomic status (SES) have been associated with variations in COVID-19 vaccine uptake in the United States. The present study investigates COVID-19 vaccination behavior in individuals with history of COVID-19 infection, with the specific goal of understanding whether experiences during illness explain socioeconomic disproportionalities in vaccine uptake. We leveraged a large sample of adults (n = 1584) infected with COVID-19 in NYC to examine this question, investigating whether specific experiences during illness explained the association between socioeconomic status and COVID-19 vaccine hesitancy. Data from this study were collected during February and March 2021. Principal component analysis was used to create three composite variables that measure distinct COVID-19 related experiences: infection-related health impacts, pandemic-related psychosocial disruption, and perceived quality of medical care during COVID-19 illness. Neither infection-related impacts nor psychosocial disruption were related to vaccine hesitancy after adjusting for related sociodemographic covariates. However, perceptions of higher quality care received during COVID-19 illness predicted decreased COVID-19 vaccine hesitancy. Furthermore, mediation analysis revealed that perceived care quality during COVID-19 illness mediate the relationship between objective socioeconomic risk and COVID-19 vaccine hesitancy. These findings highlight patient-reported care quality during illness as a novel target that may increase vaccine uptake among socioeconomically vulnerable populations.

Maternal depression negatively impacts child mental health and is a well-known risk factor for child psychopathology. However, maternal depression treatment and child mental health treatment are rarely integrated. The purpose of this review was to assess the impact of maternal depression on child mental health treatment, including (1) how treatment of maternal depression affects child mental health outcomes, (2) the impact of maternal depression on children receiving mental health care, and (3) emerging models that address maternal depression in primary-care pediatrics and child mental health settings. A systematic literature review was conducted using PubMed and PsycInfo. Initial search yielded 224 records, and after exclusion, 29 papers were reviewed. Effective treatment of maternal depression is associated with a significant decrease in child psychiatric symptoms. Maternal depression negatively affects child mental health treatment in that there is a high rate of untreated mental illness among mothers of psychiatrically ill children, and maternal depression impedes effective child mental health treatment. Current models to address maternal depression in child settings include screening in pediatric primary care, psychotherapy for depressed mothers of psychiatrically ill children, and emerging models that integrate maternal and child mental health treatment. Effective treatment of maternal depression significantly improves child mental health and should be better integrated into child treatment. Opportunities to improve care include more robust screening for parental mental illness, supports to refer parents to psychiatric care, and on-site services for parents. Such interventions hold promise, but require significant support from a multidisciplinary team.

Digital messaging programs have the potential to be a powerful, low-cost, technological tool to support multiple facets of caregivers' knowledge, and implementation of developmentally appropriate caregiver-child activities among diverse immigrant populations. However, involving caregivers and community stakeholders in the cultural and linguistic tailoring of interventions to optimize utilization and engagement may be critical to ensuring messaging programs' usability and acceptability. The purpose of this mixed-method study was to use the dynamic adaptation process (DAP) within an Exploration, Preparation, Implementation, Sustainment (EPIS) framework to examine the implementation of a digital messaging program, developed at the beginning of the COVID-19 pandemic, aimed at providing Spanish-, English-, and Mandarin-speaking immigrant caregivers with caregiver-child activities that supported children's development and caregivers' knowledge. Building upon the EPIS framework, using DAP, we assessed the feasibility and acceptability of a messaging program via short message service or multimedia message service, WeChat, and Remind and webinar program during the COVID-19 pandemic. The study illustrated how a digital messaging program is a feasible mechanism for sharing developmentally and culturally appropriate information with immigrant caregivers. In addition, the use of the DAP and the EPIS framework allowed us to continuously track the process of cultural adaptation, identify barriers and facilitators of the outreach program, and examine how implementation unfolded across all three groups of caregivers.

BACKGROUND:Prostate cancer (PCa) and its treatment can have significant and pervasive sexual side effects for patients and their partners; however, partner needs are not well understood, and most resources do not incorporate partner priorities. AIM:Our objective was to perform a qualitative study to identify unmet sexual needs of patients and female partners after PCa diagnosis. METHODS:We conducted a qualitative study of posts to the Inspire Us TOO Prostate Cancer Online Support and Discussion Community. Overall, 6,193 posts were identified in the Sexual Health & Intimacy forum of the community, of which 661 posts were from female authors. A random sample of 10% (n = 66) of posts from female partners and an equal number of randomly selected posts from male patients were analyzed. OUTCOMES:We assessed sexual health themes among patients and female partners. RESULTS:Multiple themes emerged that were unique to female partners of PCa survivors. These included expanding the sexual repertoire, feeling invisible, contextualizing sexual intimacy within the broader picture of survival, and addressing relationship concerns. Patients and their partners also shared common sexual health themes, including coming to terms with changes in sexual function and frustration with clinicians. Both patients and their partners use online health communities to get support and share their experiences with sexual recovery and use of sexual aids. Psychosocial treatments were infrequently mentioned, and may be particularly helpful to address partner concerns. CLINICAL IMPLICATIONS:A common concern for couples was not receiving sufficient information from healthcare providers regarding sexual side effects from PCa and its treatment. STRENGTHS AND LIMITATIONS:Strengths of the study include leveraging a unique data source to address an understudied topic of sexual health concerns among partners after PCa diagnosis. However, members of an online community may not be representative of all couples facing PCa. Also, this analysis is limited to female partners of patients with PCa, and further study is underway to examine the sexual health needs among gay and bisexual couples. CONCLUSION:Both patients and female partners have many unmet sexual health needs during PCa survivorship, and designing interventions to incorporate partner perspectives may improve the management of sexual side effects of PCa for couples. Li R, Wittmann D, Nelson CJ, et al. Unmet Sexual Health Needs of Patients and Female Partners Following Diagnosis and Treatment for Prostate Cancer. J Sex Med 2022;19:1797-1803.

BACKGROUND/UNASSIGNED:Adolescent parenthood can be associated with a range of adverse outcomes for young mothers such as depression, substance abuse, and posttraumatic stress disorder. Identification of depression and understanding risk factors among pregnant adolescents is important for development of appropriate interventions and programs focused on adolescent mental health. This paper reports on the findings of the prevalence of depression and its associated risk factors among pregnant adolescents in Nairobi, Kenya. METHODS/UNASSIGNED:We recruited 153 pregnant adolescent (14-18 years) who were accessing maternal health services in one of two Nairobi County primary health care facilities in the cross-sectional survey conducted in 2021. The Patient Health Questionnaire 9 was used to screen for depression. Multivariate Stepwise linear regression modelling was used to identify key predictors of depression. RESULTS/UNASSIGNED:Using a cut off of 10 and above on PHQ-9, we found that 43.1% of the respondents were depressed. Depressive symptoms in were independently associated with being in school, experience of intimate partner violence, substance use within the family and having experienced pressure to use substances by family or peers. LIMITATIONS/UNASSIGNED:Cross-sectional by design and the applications of our findings are limited to settings that are similar to our study population. The PHQ-9 used has not been psychometrically validated locally in this sample. CONCLUSION/UNASSIGNED:We found a high prevalence of depressive symptoms among respondents. These risk factors identified merit further investigation. Comprehensive mental health screening needs to be integrated in primary and community health services on the possible presence of depression.

In this Editorial Perspective, we take a systematic look at the overall nature of the Covid-19 related research on mental health in children and young people, to gain insight into the major trends in this area of research and inform future lines of investigation, clinical practices, and policies. By means of state-of-the-art scientometric approaches, we identified 3,692 relevant research outputs, mainly clustering around the following themes: (a) mental health consequences of the Covid-19 pandemic in children and young people; (b) impact of the pandemic on pre-existing psychiatric disorders; (c) family outcomes (i.e., family violence and parental mental health); and (d) link between physical and mental conditions. Only 23% of the retrieved publications reported new data, the remaining ones being reviews, editorials, opinion papers, and other nonempirical reports. The majority of the empirical studies used a cross-sectional design. We suggest that future research efforts should prioritise: (a) longitudinal follow-up of existing cohorts; (b) quasi-experimental studies to gain insight into causal mechanisms underlying pandemic-related psychopathology in children and young people; (c) pragmatic randomised controlled trials (RCTs) to test evidence-based intervention strategies; and (d) evidence-based guidelines for clinicians and policymakers.

Background: The brain contains interconnected circuits which are neither completed at birth or invariant across life. This neuronal plasticity is essential for life-long adaptive features like continuous learning and memory. However, this plasticity, especially when associated with severe adverse factors during early-life, can lead to the derailment of normative brain development and contribute to the etiology of behavioral deficits and psychiatric disorders. One of the most influential environmental factors during early-life is parental/caregiver care. Childhood adversity has been estimated to account for a significant percentage of adult-onset mental health disorders. In extreme cases of childhood adversity, institutional rearing where the infants were deprived of caregiver contact, cognitive deficits and dysregulated prefrontal cortex (PFC) function were found. In this study we hypothesize that earlylife adversity, in the form of maternal separation, leads to longlasting changes in the transcriptome of specific PFC cell populations leading to a dysregulation of PFC function.
Method(s): Here, we use a mouse model of maternal separation. The brains of pups and adults of normal reared or maternal separated (MS) animals were collected. In one set, we performed single-nucleus RNAseq with hashing to contrast the PFC transcriptome of these groups. In a separate cohort, we recorded whole slice voltage dye (VSD) responses to explore how changes in receptors identified by snRNAseq altered PFC responses.
Result(s): Using snRNAseq, as expected, we observed that the changes between ages were much more accentuated than changes between treatments. We also observed that the proportion of oligodendrocytes in adult-MS animals was similar to infant animals. Furthermore, we found that most of the differential gene expression between MS and standard reared animals was in interneurons, affecting pathways related to GABAergic, glutamatergic, and serotonergic functions. Using VSD we observed that adult-MS responses to GABAergic and serotonergic agonists were similar to the responses of more immature normal-reared animals.
Conclusion(s): This study suggests that MS leads to an immature PFC that may be linked to the behavioral deficits observed in animals and humans exposed to poor early-life care