Faculty Bibliography

OBJECTIVE: Children with NF1 display multiple structural and functional changes in the central nervous system, such as white matter alterations, and a unique profile of neuropsy-chological cognitive abnormalities. Assessment of resting state networks (RSNs) can reveal differences in the functional architecture of the developing brain in response to neurofibromin deficiency resulting from NF1 mutation. Here, we focused on resting-state functional connectivity between the subcortical striatum and cortical networks differentiated as primary (e.g., visual, somatomotor) versus association (e.g., ventral attention, default). MATERIAL-METHODS: Eighteen children with NF1 who had resting-state fMRI scans were group-matched (age, gender and head movement) with 18 typically developing children (TDC) from the ABIDE repository. Coherent slow fluctuations in the fMRI signal across the entire brain were used to interrogate the pattern of functional connectivity of cortical-subcortical structures. Assessment of RSNs was done using a previously established automated clustering algorithm. RESULTS: NF1 children demonstrated abnormal organization of association networks, particularly, deficient long-distance functional connectivity. Examining the contribution of the striatum revealed that corticostriatal functional connectivity was altered, with NF1 children demonstrating diminished functional connectivity between striatum and the ventral attention network, as well as the posterior cingulate area, which is associated with the default network. By contrast, somatomotor functional connectivity with the striatum was increased. Functional connectivity of the visual network with the striatum did not differ in the NF1 group. CONCLUSION: These findings suggest that, much like in animal studies, the striatum plays a major role in NF1 cognitive pathogenesis. In addition, the "immature" pattern of deficient long distance functional connectivity suggests that NF1-associated myelin abnormalities may also play a significant role in the disrupted formation of RSNs

BACKGROUND:Weight gain is a potentially concerning side effect of second-generation antipsychotics (SGAs). Metformin, a biguanide with antihyperglycemic effects, is used to manage weight gain in adults treated with SGAs. OBJECTIVE:The objective of this study was to perform the first systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the effects of metformin on weight gain in children and adolescents treated with SGAs. METHODS:Based on a pre-registered protocol (PROSPERO-CRD42017074839), we searched the PubMed, EMBASE, PsychoINFO, BIOSIS, Science Direct, Cochrane Central, and ClinicalTrials.gov electronic databases through March 2018 (with no restrictions on language, date, or type of publication) for RCTs that assessed the effect of metformin or placebo on body weight in children or adolescents (< 18 years of age) treated with selected SGAs (risperidone, aripiprazole, olanzapine, and clozapine) for any psychiatric disorder. We also contacted relevant drug manufacturers for possible additional pertinent studies/data. A random effects model was used and the quality of the included RCTs was assessed using the Cochrane Risk of Bias tool. RESULTS:Five RCTs (205 participants in total) were included in the meta-analysis. We found a significant weight decrease in the metformin group compared with placebo after 4, 12, and 16 weeks of treatment {mean difference - 0.98 kg (95% confidence interval [CI] - 1.26, - 0.69); - 1.83 kg (95% CI - 2.47, - 1.18); and - 3.23 kg (95% CI - 5.59, - 0.86), respectively}. A weight decrease at weeks 2 and 8 did not reach statistical significance. The decrease in body mass index (BMI) paralleled that of weight, with a significant effect at weeks 4, 12, and 16. Overall, four studies were rated as unclear, and one study was rated as high, risk of bias. CONCLUSION/CONCLUSIONS:Meta-analytical evidence shows that metformin might decrease weight in children/adolescents treated with SGAs but additional high-quality evidence is needed. Clinicians need to be aware that this use of metformin is currently off-label.

Cogmed Working Memory Training (CWMT), an online cognitive training program developed for children, is an increasingly popular non-pharmacological intervention for ADHD amongst all ages, despite limited supporting evidence. The initial objective of the present work was to examine the short- and long-term impacts of CWMT on brain function in adults with ADHD. However, during the conduct of our study, we experienced multiple levels of failures in recruitment and retention that signaled potential concerns about the suitability of CWMT for adults with ADHD. This perspective piece aims to describe the difficulties we encountered in the context of studies examining the efficacy of CWMT in comparable populations. We trace these difficulties to the limited tolerability of the current CWMT structure for adults with ADHD, and review similar limitations in the literature. We suggest that efficacy of CWMT in children may be due in large part to close monitoring and scaffolding provided by clinicians and caregivers. For CWMT to have viability for widespread use in adults, greater support and structure will be needed for users to improve the likelihood of adherence. We discuss implications and considerations for future efforts in both research and clinical practice.

Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders with multiple biological etiologies and highly variable symptoms. Using a novel analytical framework that integrates cortex-wide MRI markers of vertical (i.e., thickness, tissue contrast) and horizontal (i.e., surface area, geodesic distance) cortical organization, we could show that a large multi-centric cohort of individuals with ASD falls into 3 distinctive anatomical subtypes (ASD-I: cortical thickening, increased surface area, tissue blurring; ASD-II: cortical thinning, decreased distance; ASD-III: increased distance). Bootstrap analysis indicated a high consistency of these biotypes across thousands of simulations, while analysis of behavioral phenotypes and resting-state fMRI showed differential symptom load (i.e., Autism Diagnostic Observation Schedule; ADOS) and instrinsic connectivity anomalies in communication and social-cognition networks. Notably, subtyping improved supervised learning approaches predicting ADOS score in single subjects, with significantly increased performance compared to a subtype-blind approach. The existence of different subtypes may reconcile previous results so far not converging on a consistent pattern of anatomical anomalies in autism, and possibly relate the presence of diverging corticogenic and maturational anomalies. The high accuracy for symptom severity prediction indicates benefits of MRI biotyping for personalized diagnostics and may guide the development of targeted therapeutic strategies.

The fifth edition of the Diagnostic and Statistical Manual ( DSM) categorizes reactive attachment disorder (RAD) and disinhibited social engagement disorder (DSED) as two separate disorders, and their criteria are revised. For DSED, the core symptoms focus on abnormal social disinhibition, and symptoms regarding lack of selective attachment have been removed. The core symptoms of RAD are the absence of attachment behaviors and emotional dysregulation. In this study, an international team of researchers modified the Child and Adolescent Psychiatric Assessment for RAD to update it from DSM-IV to DSM-5 criteria for RAD and DSED. We renamed the interview the reactive attachment disorder and disinhibited social engagement disorder assessment (RADA). Foster parents of 320 young people aged 11 to 17 years completed the RADA online. Confirmatory factor analysis of RADA items identified good fit for a three-factor model, with one factor comprising DSED items (indiscriminate behaviors with strangers) and two factors comprising RAD items (RAD1: failure to seek/accept comfort, and RAD2: withdrawal/hypervigilance). The three factors showed differential associations with clinical symptoms of emotional and social impairment. Time in foster care was not associated with scores on RAD1, RAD2, or DSED. Higher age was associated with lower scores on DSED, and higher scores on RAD1.

Objective/UNASSIGNED:Maternal depression is a common, chronic set of disorders associated with significant burden to caregivers, children and families. Some evidence suggests that depression is associated with perceptions of barriers to child mental health treatment and premature termination from services. However, this relationship has not yet been examined among a predominantly low-income sample, which is at disproportionately high risk of depression, child mental health problems, and treatment drop out. Accordingly, the purpose of this study is to examine the relationships between caregiver depression and perceived barriers to treatment. Methods/UNASSIGNED:Three hundred twenty (n=320) children between the ages of 7 to 11 and their caregivers were assigned to either the 4 Rs and 2Ss for Strengthening Families, which is a multiple family group intervention, or services as usual (SAU) consisting of typical outpatient mental health services. Caregiver depression was measured by the Center for Epidemiologic Depression Scale; perceived barriers to treatment were assessed via the Kazdin Barriers to Treatment Scale. Results/UNASSIGNED:Clinically significant levels of depressive symptoms at baseline were significantly associated with greater scores in all four barriers to treatment subscales (stressors and obstacles competing with treatment, treatment demands and issues, perceived relevance, relationship with therapist) at post-test. Conclusions/UNASSIGNED:Addressing maternal mental health, and attending to stressors that impede poverty-impacted families from child services is critical for the health and functioning of caregivers, and to ensure that children with mental health problems receive treatment.