Faculty Bibliography

In a double-blind randomised controlled trial by Asherson et al., involving prisoners with attention-deficit hyperactivity disorder (ADHD), the rates of response to osmotic-release oral system methylphenidate (OROS-methylphenidate) and placebo were very similar (~50%). I critically discuss this trial against other international literature, highlighting the key issues in the field in terms of clinical practice and research.

Children and adolescents with psychiatric disorders are a sizable population of children and youth with special health care needs. While the capabilities of behavioral health resources to meet these youth's needs were already strained, the Coronavirus Disease 2019 (COVID-19) pandemic extended resource limitations just as this subgroup of children and youth with special health care needs faced new stressors and potential exacerbations of their underlying psychiatric illnesses. In this article, we provide a brief narrative review of the factors' manifestations with an emphasis upon their disproportionate impact upon children of color and their families and particularly those from disadvantaged communities. We proceed to provide policy proposals for addressing these disparities. These include raising reimbursement for behavioral health services, increasing telehealth care delivery, reducing inter-state licensing requirements, increasing community-based services, and addressing social determinants of health. Conclusions and directions for strengthening behavioral health service delivery capabilities and addressing systemic injustices are made.

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.

The dearth of child and adolescent mental health services (CAMHS) is a global problem. Integrating CAMHS in primary care has been offered as a solution. We sampled integrated care perspectives from colleagues around the world. Our findings include various models of integrated care namely: the stepped care model in Australia; shared care in the United Kingdom (UK) and Spain; school-based collaborative care in Qatar, Singapore and the state of Texas in the US; collaborative care in Canada, Brazil, US, and Uruguay; coordinated care in the US; and, developing collaborative care models in low-resource settings, like Kenya and Micronesia. These findings provide insights into training initiatives necessary to build CAMHS workforce capacity using integrated care models, each with the ultimate goal of improving access to care. Despite variations and progress in implementing integrated care models internationally, common challenges exist: funding within complex healthcare systems, limited training mechanisms, and geopolitical/policy issues. Supportive healthcare policy, robust training initiatives, ongoing quality improvement and measurement of outcomes across programs would provide data-driven support for the expansion of integrated care and ensure its sustainability.

This article describes the extent of the problem and the medical evaluation of child maltreatment, focusing on the outpatient interdisciplinary assessment of suspected child physical and sexual abuse. Separate from their role as clinicians, the roles of the child psychologist before, during, and after the medical assessment are highlighted. The child psychologist is an important member of the interdisciplinary team who helps the team prepare for the evaluation (before), assists in screening and determining immediate psychological safety during the medical evaluation (during), and communicating the need for further treatment and follow-up (after).

Reining in Anxiety (RiA) is a therapeutic program for youth with mild to moderate anxiety delivered in a therapeutic riding setting by Certified Therapeutic Riding Instructors. RiA was developed after a review of the evidence base for youth anxiety, is manualized, and includes five core CBT components: in vivo exposure, cognitive restructuring, youth psychoeducation, relaxation, and caregiver psychoeducation about anxiety. This study extended findings from a prior RCT that examined (1) the feasibility of collecting saliva samples from horses and children to measure stress (cortisol) and relaxation (oxytocin); (2) whether changes in stress and relaxation occurred both during each lesson and over the course of the 10-week intervention for horses and youth; (3) whether changes in anxiety symptoms, emotional regulation, and self-efficacy found in the first trial were comparable; and (4) if fidelity to the program was reliable. Youth participants (n = 39) ages 6"“17 with caregiver-identified mild-to-moderate anxiety participated in a ten-week therapeutic intervention (RiA), which combined adaptive riding and components of CBT. Physiological data and self-report measures were taken at weeks one, four, seven, and ten for the youth and horses. Saliva assays assessed cortisol as a physiological marker of stress and anxiety, and oxytocin as a measure of relaxation. Fidelity data were recorded per session. Anxiety, as measured by caregiver self-reporting, significantly decreased from pre- to post-test, while emotional regulation scores increased. No significant changes in self-efficacy from pre- to post-test were observed. Saliva samples obtained from participants before and after riding sessions showed a consistent decrease in cortisol and a significant increase in oxytocin at two of the four timepoints (Week 1 and Week 7), but no overall pre- to post-test changes. Horse saliva data were collected using a modified bit; there were no significant changes in oxytocin or cortisol, suggesting that the horses did not have an increase in stress from the intervention. RiA may be a promising approach for reducing anxiety and stress among youth, as measured both by self-reported and by physiological measures. Collection of salivary assays for both youth and horses is feasible, and the intervention does not increase stress in the horses. Importantly, RiA can be delivered by adaptive/therapeutic horseback riding instructors in naturalistic (e.g., non-clinic-based) settings. As youth anxiety is a growing public health problem, novel interventions, such as RiA, that can be delivered naturalistically may have the potential to reach more youth and thus improve their quality of life. Further research is needed to examine the comparative value of RiA with other animal-assisted interventions and to assess its cost-effectiveness.

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.

OBJECTIVE:"Subsyndromal" obsessive-compulsive disorder symptoms (OCDSs) are common and cause impaired psychosocial functioning. OCDSs are better captured by dimensional models of psychopathology, as opposed to categorical diagnoses. However, such dimensional approaches require a deep understanding of the underlying neurocognitive drivers and impulsive and compulsive traits (ie, neurocognitive phenotypes) across symptoms. This study investigated inhibitory control and self-monitoring across impulsivity, compulsivity, and their interaction in individuals (n = 40) experiencing mild-moderate OCDSs. METHODS:EEG recording concurrent with the stop-signal task was used to elicit event-related potentials (ERPs) indexing inhibitory control (ie, N2 and P3) and self-monitoring (ie, error-related negativity and correct-related negativity (CRN): negativity following erroneous or correct responses, respectively). RESULTS:< .05, 95% CI [0.03, 0.19]). CONCLUSION/CONCLUSIONS:The current findings provide evidence for differential, ERP-indexed inhibitory control and self-monitoring profiles across impulsive and compulsive phenotypes in OCDSs.