Faculty Bibliography

Purpose of review/UNASSIGNED:The goal of this paper is to review recent research on the identification and treatment of prodromal periods that precede bipolar and psychotic disorders. We also sought to provide information about current best clinical practices for prodromal youth. Recent findings/UNASSIGNED:Research in the areas of identifying prodromal periods has rapidly advanced. Calculators that can predict risk are now available for use during both bipolar and psychotic disorder prodromes. Cognitive behavior therapies have emerged as the gold standard psychosocial interventions for the psychosis prodrome, while several other types of therapies hold promise for treatment during the bipolar prodrome. Due to safety and efficacy concerns, pharmacologic treatments are not currently recommended during either prodromal period. Summary/UNASSIGNED:While additional research is needed to develop useful clinical tools to screen and diagnose during prodromal phases, existing literature has identified constellations of symptoms that can be reliably identified in research settings. Specialized psychotherapies are currently recommended to treat prodromal symptoms in clinical settings. They may also be useful to curtail future episodes, although further research is needed.

BACKGROUND:Sleep problems are common and impairing in individuals with autism spectrum disorders (ASD). Evidence synthesis including both subjective (ie, measured with questionnaires) and objective (ie, quantified with neurophysiological tools) sleep alterations in youth with ASD is currently lacking. OBJECTIVE:We conducted a systematic review and meta-analysis of subjective and objective studies sleep studies in youth with ASD. METHODS:FINDINGS: From a pool of 3359 non-duplicate potentially relevant references, 47 datasets were included in the meta-analyses. Subjective and objective sleep outcome measures were extracted from 37 and 15 studies, respectively. Only five studies were based on comorbidity free, medication-naïve participants. Compared with typically developing controls, youth with ASD significantly differed in 10/14 subjective parameters and in 7/14 objective sleep parameters. The average quality score in the Newcastle-Ottawa Scale was 5.9/9. DISCUSSION AND CLINICAL IMPLICATIONS/UNASSIGNED:A number of subjective and, to a less extent, objective sleep alterations might characterise youth with ASD, but future studies should assess the impact of pharmacological treatment and psychiatric comorbidities.

What is the evidence that 'pro re nata' (PRN) medication is effective for ending agitated outbursts in children and adolescents in psychiatric emergency rooms or inpatient units? Literature search was performed for studies of PRN medication use in children and adolescents that included an outcome measure. One randomised controlled trial, three prospective studies and six retrospective studies that included some outcome measure were identified. Outcome measures were heterogeneous, and frequently did not use standardised metrics assessing agitation level to measure effectiveness. The single small Randomized Controlled Trial (RTC) does not find a difference between placebo and medication, and outcomes of other studies do not control for potential placebo effect of the intervention itself as opposed to the medication. There is insufficient evidence to support the common practice of PRN medications for the management of acute agitation, and no data with which to inform clinical practice, such as which medicines and doses are helpful for specific populations or situations. Psychiatrists have no evidence-based medication interventions for acutely managing agitated outbursts in children and adolescents.

Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of the past two decades have outpaced the accrual of data, which is particularly challenging given the relatively few centers that have the necessary facilities and capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human primate magnetic resonance imaging (MRI) datasets and openly sharing them via the International Neuroimaging Data-sharing Initiative (INDI). Here, we present the rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates). We also outline the unique pitfalls and challenges that should be considered in the analysis of non-human primate MRI datasets, including providing automated quality assessment of the contributed datasets.

OBJECTIVES/OBJECTIVE:Emotional lability (EL) is an important trans-diagnostic concept that is associated with significant functional impairment in childhood and adolescence. EL is typically measured with questionnaires, although little is known about the ecological validity of these ratings. In this paper, we undertook 2 studies addressing this issue by examining the relationship between rating-based measures of EL and directly measured emotional expressions and experiences. Furthermore, the associations between directly measured emotional expressions and experiences and attention-deficit/hyperactivity disorder (ADHD) symptomatology were also examined, given the clear association of EL with ADHD in former research. METHODS:In Study 1, we examined the relationship between parental report of children's EL and ADHD, and children's emotional expressions in an experimental context (N = 67). In Study 2, we examined the relationship between parental ratings and real-time measures of emotional experiences in daily life in adolescents (N = 65). RESULTS:EL ratings were associated with different elements of real-time emotional experiences and expressions. Elements of emotional expressions but not emotional experiences were also associated with ADHD symptom reports. CONCLUSIONS:These studies provide evidence for the ecological validity of EL ratings. Furthermore, they add evidence for the associations between EL and ADHD.

BACKGROUND:Attention-deficit/hyperactivity disorder (ADHD) is proposed to be a neuropsychologically heterogeneous disorder that encompasses two distinct sub-groups, one with executive function (EF) deficits and one with delay aversion (DA). However, such claims have often been based on studies that have operationalized neuropsychological deficits using a categorical approach - using intuitive but rather arbitrary, clinical cut-offs. The current study applied an alternative empirical approach to sub-grouping in ADHD, latent profile analysis (LPA), and attempted to validate emerging subgroups through clinically relevant correlates. METHODS:One-hundred medication-naïve children with ADHD and 96 typically developing children (6-14 years) completed nine EF and three DA tasks as well as an odor identification test. Parents and teachers provided reports of the children's behavior (ADHD and EF). Models of the latent structure of scores on EF and DA tests were contrasted using confirmatory factor analysis (CFA). LPA was carried out based on factor scores from the CFA and sub-groups were compared in terms of odor identification and behavior. RESULTS:A model with one DA and two EF factors best fit the data. LPA resulted in four sub-groups that differed in terms of general level of neuropsychological performance (ranging from high to very low), odor identification, and behavior. The sub-groups did not differ in terms of the relative EF and DA performance. Results in the ADHD group were replicated in the control group. CONCLUSIONS:While EF and DA appear to be dissociable constructs; they do not yield distinct sub-groups when sub-grouping is based on a statistical approach such as LPA.

Signaled active avoidance (SigAA) is the key experimental procedure for studying the acquisition of instrumental responses toward conditioned threat cues. Traditional analytic approaches (e.g., general linear model) often obfuscate important individual differences, although individual differences in learned responses characterize both animal and human learning data. However, individual differences models (e.g., latent growth curve modeling) typically require large samples and onerous computational methods. Here, we present an analytic methodology that enables the detection of individual differences in SigAA performance at a high accuracy, even when a single animal is included in the data set (i.e., n = 1 level). We further show an online software that enables the easy application of our method to any SigAA data set.