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The Social Responsiveness Scale (SRS) is an autism rating scales in widespread use, with over 20 official foreign language translations. It has proven highly feasible for quantitative ascertainment of autistic social impairment in public health settings, however, little is known about the validity of the reinforcement in Asia populations or in references to DSM5. The current study aims to evaluate psychometric properties and cross-cultural aspects of the SRS-Korean version (K-SRS).The study subjects were ascertained from three samples: a general sample from 3 regular education elementary schools (n=790), a clinical sample (n=154) of 6-12-year-olds from four psychiatric clinics, and an epidemiological sample of children with ASD, diagnosed using both DSM IV PDD, DSM5 ASD and SCD criteria (n=151). Their parents completed the K-SRS and the Autism Spectrum Screening Questionnaire(ASSQ). Descriptive statistics, correlation analyses and principal components analysis (PCA) were performed on the total population. Mean total scores on the K-SRS differed significantly between the three samples. ASSQ scores were significantly correlated with the K-SRS T-scores. PCA suggested a one-factor solution for the total population.Our results indicate that the K-SRS exhibits adequate reliability and validity for measuring ASD symptoms in Korean children with DSM IV PDD and DSM5 ASD. Our findings further suggest that it is difficult to distinguish SCD from other child psychiatric conditions using the K-SRS.This is the first study to examine the relationship between the SRS subscales and DSM5-based clinical diagnoses. This study provides cross-cultural confirmation of the factor structure for ASD symptoms and traits measured by the SRS. Autism Res 2016, 9: 970-980. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.

Humans remember emotional events not only better but also exhibit a qualitatively distinct recollective experience—that is, emotion intensifies the subjective vividness of the memory, the sense of reliving the event, and confidence in the accuracy of the memory [Phelps, E. A., & Sharot, T. How (and why) emotion enhances the subjective sense of recollection. Current Directions in Psychological Science, 17, 147–152, 2008]. Although it has been demonstrated that activation of the beta-adrenergic system, linked to increases in stress hormone levels and physiological arousal, mediates enhanced emotional memory accuracy, the mechanism underlying the increased subjective sense of recollection is unknown. Behavioral evidence suggests that increased arousal associated with emotional events, either at encoding or retrieval, underlies their increased subjective sense of recollection. Using a double-blind, placebo-controlled, within-subject design, we showed that reducing arousal at encoding through oral intake of 80-mg of the beta-adrenergic receptor antagonist propranolol decreases the subjective sense of recollection for both negative and neutral stimuli 24 hr later. In contrast, administration of propranolol before memory retrieval did not alter the subjective sense of recollection. These results suggest that the neurohormonal changes underlying increased arousal at the time of memory formation, rather than the time of memory retrieval, modulate the subjective sense of recollection.

Backgrounds Despite multiple studies demonstrating no relationship between childhood vaccination and increasing Autism Spectrum Disorder (ASD) prevalence, parental fear for vaccination and subsequent refusal to vaccinate their children continue, resulting in recent outbreaks of childhood infections such as measles in the US. We examine the relationship between the completion of 6 recommended vaccinations in childhood and the likelihood for having developmental psychopathology. Methods Two large-scale South Korean epidemiologic samples were used to examine whether completion of childhood vaccinations decrease likelihood of having ASD as assessed by Autism Spectrum Screening Questionnaire (ASSQ) and behavioral problems scores. Parental reports on vaccination completion were categorized in groups: Results 84.3 % of DS and 80.1 % of RS participants were fully vaccinated. In the DS, after adjusting for demographics and confounders, children with incomplete-vaccinations were at greater risk for ASD when compared to those fully vaccinated (adjusted odds ratio [aOR] = 1.42, 95 % Confidence Interval [CI] 1.17−1.73 with 4−5 vaccinations; aOR = 2.33, CI 1.53−3.56 with vaccination Conclusions We replicate our own and prior findings that vaccination does not increase ASD risk. Further, completing recommended vaccinations may offer protection against the risk of having ASD and other developmental psychopathology.

Background Suicide is one of the leading causes of death among young and middle-aged people. However, little is understood about the behaviors leading up to actual suicide attempts and whether these behaviors are specific to the nature of suicide attempts. Objective The goal of this study was to examine the clusters of behaviors antecedent to suicide attempts to determine if they could be used to assess the potential lethality of the attempt. To accomplish this goal, we developed a deep learning model using the relationships among behaviors antecedent to suicide attempts and the attempts themselves. Methods This study used data from the Korea National Suicide Survey. We identified 1112 individuals who attempted suicide and completed a psychiatric evaluation in the emergency room. The 15-item Beck Suicide Intent Scale (SIS) was used for assessing antecedent behaviors, and the medical outcomes of the suicide attempts were measured by assessing lethality with the Columbia Suicide Severity Rating Scale (C-SSRS; lethal suicide attempt >3 and nonlethal attempt ≤3). Results Using scores from the SIS, individuals who had lethal and nonlethal attempts comprised two different network nodes with the edges representing the relationships among nodes. Among the antecedent behaviors, the conception of a method’s lethality predicted suicidal behaviors with severe medical outcomes. The vectorized relationship values among the elements of antecedent behaviors in our deep learning model (E-GONet) increased performances, such as F1 and area under the precision-recall gain curve (AUPRG), for identifying lethal attempts (up to 3% for F1 and 32% for AUPRG), as compared with other models (mean F1: 0.81 for E-GONet, 0.78 for linear regression, and 0.80 for random forest; mean AUPRG: 0.73 for E-GONet, 0.41 for linear regression, and 0.69 for random forest). Conclusions The relationships among behaviors antecedent to suicide attempts can be used to understand the suicidal intent of individuals and help identify the lethality of potential suicide attempts. Such a model may be useful in prioritizing cases for preventive intervention.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Facial expression is impaired in autism spectrum disorder (ASD), but rarely systematically studied. We focus on the ability of individuals with ASD to produce facial expressions of emotions in response to a verbal prompt. We used the Janssen Autism Knowledge Engine (JAKE®), including automated facial expression analysis software (FACET) to measure facial expressions in individuals with ASD (n = 144) and a typically developing (TD) comparison group (n = 41). Differences in ability to produce facial expressions were observed between ASD and TD groups, demonstrated by activation of facial action units (happy, scared, surprised, disgusted, but not angry or sad). Activation of facial action units correlated with parent-reported social communication skills. This approach has potential for diagnostic and response to intervention measures. Trial Registration NCT02299700.

Objective: To describe the development and evaluation of two integrated care mod­els using a partnered formative evaluation approach across a private foundation, clinic leaders, providers and staff, and a universi­ty-based research center. Design: Retrospective cohort study using multiple data sources. Setting: Two federal qualified health care centers serving low-income children and families in Chicago. Participants: Private foundation, clinic and academic partners. Interventions: Development of two inte­grated care models and partnered evalua­tion design. Main Outcome Measures: Accomplish­ments and early lessons learned. Results: Together, the foundation-clinic-academic partners worked to include best practices in two integrated care models for children while developing the evaluation design. A shared data collection approach, which empowered the clinic partners to collect data using a web-based tool for a prospective longitudinal cohort study, was also created. Conclusion: Across three formative evalua­tion stages, the foundation, clinic, and aca­demic partners continued to reach beyond their respective traditional roles of project oversight, clinical service, and research as adjustments were collectively made to accommodate barriers and unanticipated events. Together, an innovative shared data collection approach was developed that extends partnered research to include data collection being led by the clinic partners and supported by the technical resources of a university-based research center. Ethn Dis. 2018;28(Suppl 2):445-456; doi:10.18865/ed.28.S2.445.

Child and adolescent mental health has become a pressing, international public health crisis. However, the field of child and adolescent psychiatry has advanced in remarkable ways over the last few decades. Increasing evidence indicates that child and adolescent mental disorders are highly prevalent and impactful conditions that often go unrecognized and untreated, resulting in a tremendous adverse impact on youth, families, and communities. It is critical that future research, public policy, and training programmes continue to identify and support factors that mitigate the risk for developmental psychopathology and foster well-being and healthy development. This chapter focuses on five principal features: developmental epidemiology, healthy development and well-being, access to care, the effects of adverse childhood experiences, and paediatric psychopharmacology. Concluding remarks include strategies to promote healthy child and adolescent development, as well as for the prevention, early identification, and early intervention for child and adolescent mental disorders.

Aim Data pertaining to child and adolescent psychiatry (CAP) training systems are limited as extant research has mostly been derived from one-time data collection. This 5-year follow-up survey collects updated information on CAP training systems in the Far East, allowing for the tracking of system changes over the past 5 years. Methods Data were obtained from 18 countries, or functionally self-governing areas, in the Far East, 17 of which were also included in the original study. An online questionnaire was completed by leading CAP professionals in each country. Questions were expanded in the present study to capture the contents of CAP training. Results When compared to data from the original study, there has been progress in CAP training systems in the last 5 years. Specifically, there has been an increase in the number of countries with CAP training programs and national guidelines for the training. In addition, the number of CAP departments/divisions affiliated with academic institutions/universities has increased. Findings from 12 of 18 countries in the present study provide data on clinical contents. All informants of the present study reported the need for more child and adolescent psychiatrists and allied professionals. Conclusion Despite progress in CAP training systems over the last 5 years, the need for more professionals in child and adolescent mental health care in all the relevant areas in this region have yet to be adequately addressed. Continued national efforts and international collaborations are imperative to developing and sustaining new CAP training systems while facilitating improvements in existing programs.

On a global scale, psychiatric disorders are among the most common of medical morbidity. Most psychiatric disorders have their onset in childhood and adolescence when prevention and early intervention can prevent a lifetime of suffering, disability, and stigma. Thus, we share in a global responsibility to transcend cultural and political boundaries to identify childhood-onset psychiatric illness as an international public health crisis that demands the attention and efforts of physicians and other clinicians, families, stakeholders, and policy makers around the world.

Objective: Autism Behavior Inventory (ABI) is a new measure for assessing changes in core and associated symptoms of autism spectrum disorder (ASD) in participants (ages: 3 years-adulthood) diagnosed with ASD. It is a web-based tool with five domains (two ASD core domains: social communication, restrictive and repetitive behaviors; three associated domains: mental health, self-regulation, and challenging behavior). This study describes design, development, and initial psychometric properties of the ABI. Methods: ABI items were generated following review of existing measures and inputs from expert clinicians. Initial ABI scale contained 161 items that were reduced to fit a factor analytic model, retaining items of adequate reliability. Two versions of the scale, ABI-full (ABI-F; 93 items) and ABI-short version (ABI-S; 36 items), were developed and evaluated for psychometric properties, including validity comparisons with commonly used measures. Both scales were administered to parents and healthcare professionals (HCPs) involved with study participants. Results: Test–retest reliability (intraclass correlation coefficient [ICC] = 0.79) for parent ratings on ABI was robust and compared favorably to existing scales. Test–retest correlations for HCP ratings were generally lower versus parent ratings. ABI core domains and comparison measures strongly correlated (r ≥ 0.70), demonstrating good concurrent validity. Conclusions: Overall, ABI demonstrates promise as a tool for measuring change in core symptoms of autism in ASD clinical studies, with further validation required.

Objective: To test usability and optimize the Janssen Autism Knowledge Engine (JAKE®) system's components, biosensors, and procedures used for objective measurement of core and associated symptoms of autism spectrum disorder (ASD) in clinical trials. Methods: A prospective, observational study of 29 children and adolescents with ASD using the JAKE system was conducted at three sites in the United States. This study was designed to establish the feasibility of the JAKE system and to learn practical aspects of its implementation. In addition to information collected by web and mobile components, wearable biosensor data were collected both continuously in natural settings and periodically during a battery of experimental tasks administered in laboratory settings. This study is registered at clinicaltrials.gov, NCT02299700. Results: Feedback collected throughout the study allowed future refinements to be planned for all components of the system. The Autism Behavior Inventory (ABI), a parent-reported measure of ASD core and associated symptoms, performed well. Among biosensors studied, the eye-tracker, sleep monitor, and electrocardiogram were shown to capture high quality data, whereas wireless electroencephalography was difficult to use due to its form factor. On an exit survey, the majority of parents rated their overall reaction to JAKE as positive/very positive. No significant device-related events were reported in the study. Conclusion: The results of this study, with the described changes, demonstrate that the JAKE system is a viable, useful, and safe platform for use in clinical trials of ASD, justifying larger validation and deployment studies of the optimized system.

Innovations in methods and technologies are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, there is growing enthusiasm about the prospect of achieving clinically useful tools that can assist in the diagnosis and management of mental health and learning disorders. For these ambitions to be realized, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. To this end, the Child Mind Institute has launched the Healthy Brain Network (HBN), an ongoing initiative focused on creating and sharing a biobank comprised of data from 10,000 New York City area children and adolescents (ages 5-21). The HBN has adopted a community-referred recruitment model. Specifically, study advertisements seek the participation of families who have concerns about one or more psychiatric symptoms in their child. The HBN Biobank houses data about psychiatric, behavioral, cognitive, and lifestyle (e.g., fitness, diet) phenotypes, as well as multimodal brain imaging, electroencephalography, digital voice and video recordings, genetics, and actigraphy. In this paper, we present the motivation, rationale and design for the HBN along with the initial implementation and evolution of the HBN protocols. We describe the first major open data release (n = 664) containing descriptive, electroencephalography, and multimodal brain imaging data (resting state and naturalistic viewing functional MRI, diffusion MRI and morphometric MRI). Beyond accelerating transdiagnostic research, we discuss the potential of the HBN Biobank to advance related areas, such as biophysical modeling, voice and speech analysis, natural viewing fMRI and EEG, and methods optimization.

The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent with the initial ABIDE effort (ABIDE I), that released 1112 datasets in 2012, this new multisite open-data resource is an aggregate of resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI and phenotypic datasets. ABIDE II includes datasets from an additional 487 individuals with ASD and 557 controls previously collected across 16 international institutions. The combination of ABIDE I and ABIDE II provides investigators with 2156 unique cross-sectional datasets allowing selection of samples for discovery and/or replication. This sample size can also facilitate the identification of neurobiological subgroups, as well as preliminary examinations of sex differences in ASD. Additionally, ABIDE II includes a range of psychiatric variables to inform our understanding of the neural correlates of co-occurring psychopathology; 284 diffusion imaging datasets are also included. It is anticipated that these enhancements will contribute to unraveling key sources of ASD heterogeneity. ispartof: Scientific Data vol:4 ispartof: location:England status: published

This volume offers the presentations and related commentary from a multidisciplinary conference entitled: “Gene-Environment Transactions in Developmental Psychopathology: Role in Intervention Research.” The meeting was held in Chicago on September 10 and 11, 2014 under the auspices of the Brain Research Foundation. This working conference was the second in the series of efforts designed to examine substantive scientific and methodological issues related to gene-environment transaction with the context of developmental psychopathology. The participants were asked to join in this effort to identify novel opportunities for scientific and clinical advances by exploring translational science and its ability to broaden our knowledge base, pursue novel methods, and set an agenda for the next phase in the study of developmental psychopathology.

Great advances in molecular biology, genetics and imaging serve to enhance the desire to develop multi-level and multi-scale models for "personalized medicine" but they remain very challenging for high prevalence, high impact childhood onset neuropsychiatric disorders. We currently have the capacity to develop innovative, effective and efficient clinical decision support models, while also creating the opportunities for rapidly incorporating multi-scale, multi-level data as they become available in the very near future. Sensitive to these complex issues, this paper discusses how these existing resources can be used to develop state-of-the-art clinical decision support models that will improve patient care and reduce costs in primary care and specialist settings in the present while creating a mechanism for adding biomarker and other data as it emerges. The new clinical decision support system for child and adolescent mental disorders needs to integrate existing heterogeneous, geographically distinct, current and historical patient-specific and population-specific data in order to generate new information and models for clinic decision support at the level of the individual patient, using the already available informatics frameworks.

AIM: Despite the general consensus on the importance of youth mental health, the scarcity of child and adolescent mental health services is prominent all over the world. Child and adolescent psychiatry (CAP) postgraduate training can play a pivotal role in increasing access to youth mental health services. In comparison to Europe and North America, however, little is reported regarding CAP training in the Far East, one of the most dynamic and rapidly developing world regions with a very young population. This paper presents an original study on the current status of academic child and adolescent psychiatry training across the Far East. METHODS: We collected data from 17 countries in the Far East using an internally distributed questionnaire to the Consortium members invited for this study, consisting of leading academic child and adolescent psychiatrists in each country. RESULTS: Based on informants' input, we found an overall underdevelopment of CAP postgraduate training systems despite CAP's recognition as a subspecialty in 12 of 17 of the nations or functionally self-governing areas in the Far East. Paucity of official guidelines for CAP training was also evident. All informants reported a need for additional child and adolescent mental health professionals. CONCLUSION: There seems to be several obstacles to the development of CAP postgraduate training in the Far East, including stigma towards mental health issues and lack of funding. International collaboration is desired to develop evidence-based and culture-tailored CAP training systems. Language: en

To investigate factors that might hamper early identification of Autism Spectrum Disorder (ASD), the present study examined differences between comorbid conditions and adaptive functions measured by the BASC-2 PRS in an epidemiologically ascertained group of children with ASD (Clinical and Non-clinical ASD groups), those who were screened positive but confirmed not to have ASD (No-ASD), and a group of typical, community children (N = 5222). Results indicate that the Clinical ASD group scored lower on the Externalizing Problems composite, Aggression, and Conduct Problems scales than did the No-ASD group whereas the Non-clinical ASD group did not differ from the other two groups except on the Conduct Problem scale. Further, the Clinical ASD group significantly scored lower than the other two groups the Adaptive Skills composite. The scores of the Clinical ASD group on the Social Skills and Leadership scales were lower than those in the No-ASD group, but not those in the Non-clinical ASD group. Results suggest that the frequent comorbid behavioral problems and higher adaptive skills of children in a non-clinical population, compared to a clinical population could mask their core ASD symptoms, resulting in a delay for caretakers to seek appropriate services for these children.

Reducing mental illness stigma in youth is an important societal goal, but much of the existing literature focuses on knowledge enhancement strategies. These alone may not be sufficient to enhance empathy, change fundamental attitudes, or reduce social distance. To evaluate a youth-initiated, discussion- and empathy-based antistigma school program, called “Let’s Erase the Stigma” (LETS), among adolescents from Los Angeles. We hypothesized that participation in such clubs, for a semester, would be associated with better attitudes toward mental illness, reduced social distance against those with mental illness, and enhanced performance of antistigma actions, but not greater knowledge about mental disorder. Participants were involved in LETS clubs for a semester; non-participants, also interested in such involvement, were evaluated prior to club activities. Outcomes in this quasi-experimental, non-randomized trial included (a) quantitative measures of attitudes, social distance, positive antistigma actions, and knowledge, all related to mental illness; and (b) open-ended responses related to stigma awareness, potential antistigma actions, and antistigma rationale. The design did not allow for evaluation of pre–post differences but afforded insight into potential contributions of LETS participation regarding outcomes of interest. LETS participation was associated with statistically significant differences across attitudes, social distance, antistigma actions, and knowledge, with effect sizes ranging from small to large. Although not meeting the standard of a randomized trial, the findings suggest that a youth-directed, discussion- and action-based intervention may provide a novel means of reducing mental illness stigma in adolescents. The preliminary nature of the results mandates experimental investigations.

To evaluate the associations between cyberbullying behaviors and problematic internet use, and to compare psychopathologic symptoms in victims, perpetrators, and victims-perpetrators of cyberbullying to those in youths who were not involved in cyberbullying. A total of 4531 youths (11-14 years of age) were recruited from elementary and middle schools. Among 4531 youths, 9.7% were involved in cyberbullying; 3.3% were only victims; 3.4% were only perpetrators; and 3.0% were victims-perpetrators. Cyberbullying behaviors were associated with problematic internet use as well as various psychopathologic symptoms. Depressive symptoms were associated with cyberbullying victimization, and rule-breaking behaviors and aggressive behaviors have relevance to cyberbullying perpetration. Greater attention needs to be paid to identify youths earlier who are involved in cyberbullying and prevent serious adverse consequences in them. Language: en

Comprehensive assessments that include parents and teachers are essential when assessing young children vulnerable to emotional and behavioral problems given the multiple systems and contexts that influence and support optimal development (U. Bronfenbrenner & P. A. Morris, 2006; M. J. Guralnick, 2011). However, more data complicate clinical and educational decision making given the challenge of integrating comprehensive data. We report on initial efforts to develop and apply Integrative Consensus procedures designed to synthesize comprehensive assessment data using developmentally informed guidelines. Mother–teacher dyads (N = 295) reported on disruptive behavior in a sample of 295 low-income 3- to 5-year-olds; one-third referred for disruptive behaviors, one-third nonreferred with behavioral concerns, and one-third nonreferred. Two clinicians trained in Integrative Consensus procedures independently applied the framework, with findings highlighting that children identified as disruptive by Integrative Consensus ratings plus mother or teacher ratings significantly predicted behavior problems and impaired social skills. Children identified as disruptive via Integrative Consensus were 4 times more likely to be rated as impaired by their mother at follow-up than by mother or teacher report. Reliability estimates were high (κ = 0.84), suggesting that the method has promise for identifying young children with behavior problems while systematically integrating comprehensive data.

Background Currently, no medications are approved to treat core symptoms of autism spectrum disorder (ASD). One barrier to ASD medication development is the lack of validated outcome measures able to detect symptom change. Current ASD interventions are often evaluated using retrospective caregiver reports that describe general clinical presentation but often require recall of specific behaviors weeks after they occur, potentially reducing accuracy of the ratings. My JAKE, a mobile and Web-based mobile health (mHealth) app that is part of the Janssen Autism Knowledge Engine—a dynamically updated clinical research system—was designed to help caregivers of individuals with ASD to continuously log symptoms, record treatments, and track progress, to mitigate difficulties associated with retrospective reporting. Objective My JAKE was deployed in an exploratory, noninterventional clinical trial to evaluate its utility and acceptability to monitor clinical outcomes in ASD. Hypotheses regarding relationships among daily tracking of symptoms, behavior, and retrospective caregiver reports were tested. Methods Caregivers of individuals with ASD aged 6 years to adults (N=144) used the My JAKE app to make daily reports on their child’s sleep quality, affect, and other self-selected specific behaviors across the 8- to 10-week observational study. The results were compared with commonly used paper-and-pencil scales acquired over a concurrent period at regular 4-week intervals. Results Caregiver reporting of behaviors in real time was successfully captured by My JAKE. On average, caregivers made reports 2-3 days per week across the study period. Caregivers were positive about their use of the system, with over 50% indicating that they would like to use My JAKE to track behavior outside of a clinical trial. More positive average daily reporting of overall type of day was correlated with 4 weekly reports of lower caregiver burden made at 4-week intervals (r=–0.27, P=.006, n=88) and with ASD symptoms (r=–0.42, P Conclusions My JAKE reporting aligned with retrospective Web-based or paper-and-pencil scales. Use of mHealth apps, such as My JAKE, has the potential to increase the validity and accuracy of caregiver-reported outcomes and could be a useful way of identifying early changes in response to intervention. Such systems may also assist caregivers in tracking symptoms and behavior outside of a clinical trial, help with personalized goal setting, and monitoring of progress, which could collectively improve understanding of and quality of life for individuals with ASD and their families. Trial Registration ClinicalTrials.gov NCT02668991; https://clinicaltrials.gov/ct2/show/NCT02668991

In this pilot study, amygdala connectivity related to trauma symptoms was explored using resting-state functional magnetic resonance imaging (R-fMRI) in 23 healthy adolescents ages 13–17 years with no psychiatric diagnoses. Adolescents completed a self-report trauma symptom checklist and a R-fMRI scan. We examined the relationship of trauma symptoms to resting-state functional connectivity of the amygdala. Increasing self-report of trauma symptoms by adolescents was associated with increasing functional connectivity with the right amygdala and a local limbic cluster and decreasing functional connectivity with the amygdala and a long-range frontoparietal cluster to the left amygdala, which can be a hallmark of immaturity. These pilot findings in adolescents provide preliminary evidence that even mild trauma symptoms can be linked to the configuration of brain networks associated with the amygdala.

This data descriptor describes a repository of openly shared data from an experiment to assess inter-individual differences in default mode network (DMN) activity. This repository includes cross-sectional functional magnetic resonance imaging (fMRI) data from the Multi Source Interference Task, to assess DMN deactivation, the Moral Dilemma Task, to assess DMN activation, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures. We report technical validation from n=125 participants of the final targeted sample of 180 participants. Each session includes acquisition of one whole-brain anatomical scan and whole-brain echo-planar imaging (EPI) scans, acquired during the aforementioned tasks and resting state. The data includes several self-report measures related to perseverative thinking, emotion regulation, and imaginative processes, along with a behavioral measure of rapid visual information processing. Technical validation of the data confirms that the tasks deactivate and activate the DMN as expected. Group level analysis of the neurofeedback data indicates that the participants are able to modulate their DMN with considerable inter-subject variability. Preliminary analysis of behavioral responses and specifically self-reported sleep indicate that as many as 73 participants may need to be excluded from an analysis depending on the hypothesis being tested. The present data are linked to the enhanced Nathan Kline Institute, Rockland Sample and builds on the comprehensive neuroimaging and deep phenotyping available therein. As limited information is presently available about individual differences in the capacity to directly modulate the default mode network, these data provide a unique opportunity to examine DMN modulation ability in relation to numerous phenotypic characteristics.

Autism is a neurodevelopmental disorder that usually arises on the basis of a complex genetic predisposition. The most significant susceptibility region in the first whole genome screen of multiplex families was on chromosome 7q, although this linkage was evident only in UK IMGSAC families. Subsequently all other genome screens of non-UK families have found some evidence of increased allele sharing in an overlapping 40 cM region of 7q. To further characterize this susceptibility locus, linkage analysis has now been completed on 170 multiplex IMGSAC families. Using a 5 cM marker grid, analysis of 125 sib pairs meeting stringent inclusion criteria resulted in a multipoint maximum LOD score (MLS) of 2.15 at D7S477, whereas analysis of all 153 sib pairs generated an MLS of 3.37. The 71 non-UK sib pairs now contribute to this linkage. Linkage disequilibrium mapping identified two regions of association-one lying under the peak of linkage, the other some 27 cM distal. These results are supported in part by findings in independent German and American singleton families.

Purpose Our study aimed to examine psychometric properties and cross-cultural utility of the Behavior Assessment System for Children-2, Parent Rating Scale-Child (BASC-2 PRS-C) in Korean children. Materials and Methods Two study populations were recruited: a general population sample (n=2115) of 1st to 6th graders from 16 elementary schools and a clinical population (n=219) of 6–12 years old from 5 child psychiatric clinics and an epidemiological sample of autism spectrum disorder. We assessed the validity and reliability of the Korean version of BASC-2 PRS-C (K-BASC-2 PRS-C) and compared subscales with those used for US populations. Results Our results indicate that the K-BASC-2 PRS-C is a valuable instrument with reliability and validity for measuring developmental psychopathology that is comparable to those in Western population. However, there were some differences noted in the mean scores of BASC-2 PRS-C between Korean and US populations. Conclusion K-BASC-2 PRS-C is an effective and useful instrument with psychometric properties that permits measurement of general developmental psychopathology. Observed Korean-US differences in patterns of parental reports of children's behaviors indicate the importance of the validation, standardization and cultural adaptation for tools assessing psychopathology especially when used in populations different from those for which the instrument was originally created.

Impairment in social cognition, including emotion recognition, has been extensively studied in both Autism Spectrum Disorders (ASD) and Schizophrenia (SZ). However, the relative patterns of deficit between disorders have been studied to a lesser degree. Here, we applied a social cognition battery incorporating both auditory (AER) and visual (VER) emotion recognition measures to a group of 19 high-functioning individuals with ASD relative to 92 individuals with SZ, and 73 healthy control adult participants. We examined group differences and correlates of basic auditory processing and processing speed. Individuals with SZ were impaired in both AER and VER while ASD individuals were impaired in VER only. In contrast to SZ participants, those with ASD showed intact basic auditory function. Our finding of a dissociation between AER and VER deficits in ASD relative to Sz support modality-specific theories of emotion recognition dysfunction. Future studies should focus on visual system-specific contributions to social cognitive impairment in ASD.

Objectives:Clinical neuroscience is increasingly turning to imaging the human brain for answers to a range of questions and challenges. To date, the majority of studies have focused on the neural basis of current psychiatric symptoms, which can facilitate the identification of neurobiological markers for diagnosis. However, the increasing availability and feasibility of using imaging modalities, such as diffusion imaging and resting-state fMRI, enable longitudinal mapping of brain development. This shift in the field is opening the possibility of identifying predictive markers of risk or prognosis, and also represents a critical missing element for efforts to promote personalized or individualized medicine in psychiatry (i.e., stratified psychiatry).Methods:The present work provides a selective review of potentially high-yield populations for longitudinal examination with MRI, based upon our understanding of risk from epidemiologic studies and initial MRI findings.Results:Our discussion is organized into three topic areas: (1) practical considerations for establishing temporal precedence in psychiatric research; (2) readiness of the field for conducting longitudinal MRI, particularly for neurodevelopmental questions; and (3) illustrations of high-yield populations and time windows for examination that can be used to rapidly generate meaningful and useful data. Particular emphasis is placed on the implementation of time-appropriate, developmentally informed longitudinal designs, capable of facilitating the identification of biomarkers predictive of risk and prognosis.Conclusions:Strategic longitudinal examination of the brain at-risk has the potential to bring the concepts of early intervention and prevention to psychiatry. (JINS, 2016,22, 164–179)

Pre- and perinatal complications have been implicated in the onset and clinical expression of Tourette syndrome albeit with considerable inconsistencies across studies. Also, little is known about their role in co-occurring obsessive-compulsive disorder (OCD) and attention-deficit/hyperactivity disorder (ADHD) in individuals with a tic disorder. Therefore, we aimed to investigate the role of pre- and perinatal complications in relation to the presence and symptom severity of chronic tic disorder and co-occurring OCD and ADHD using data of 1113 participants from the Tourette International Collaborative Genetics study. This study included 586 participants with a chronic tic disorder and 527 unaffected family controls. We controlled for age and sex differences by creating propensity score matched subsamples for both case-control and within-case analyses. We found that premature birth (OR=1.72) and morning sickness requiring medical attention (OR=2.57) were associated with the presence of a chronic tic disorder. Also, the total number of pre- and perinatal complications was higher in those with a tic disorder (OR=1.07). Furthermore, neonatal complications were related to the presence (OR=1.46) and severity (b=2.27) of co-occurring OCD and also to ADHD severity (b=1.09). Delivery complications were only related to co-occurring OCD (OR=1.49). We conclude that early exposure to adverse situations during pregnancy is related to the presence of chronic tic disorders. Exposure at a later stage, at birth or during the first weeks of life, appears to be associated with co-occurring OCD and ADHD.

Background Parenting practices have been accepted as powerful risk factors for behaviour problems, even though previous studies have suffered from significant methodological problems, such as small, non-representative samples, cross-sectional study designs, poor control for confounders, and minimal consideration of paternal parenting. This study examined whether three, specific maternal and paternal parenting practices are associated with internalizing and externalizing behavioural problems in youth. Methods A prospective, longitudinal, cohort study was conducted among 1641 seventh- and eighth-grade students from representative sample of middle school students. The measurements were the Korean Youth Self Report and the Childrearing Behavior Questionnaire (measuring three dimensions of parenting practice: warmth–acceptance, rejection–restriction and permissiveness–non-intervention). Descriptive and logistic regression analyses were performed. Results Maternal rejection–restriction increased risks for internalizing problems (OR = 1.112), whereas paternal control–rejection increased risks for externalizing behavioural problem (OR = 1.125). Conclusions Specific parenting practices showed differential associations with youth behaviour problems. These results suggest that further studies are necessary to understand the importance of unique and shared parenting practices as well as their interactions with other factors in the aetiology of youth behaviour problems. In the meantime, these findings point to therapeutic opportunities for both parents and their children.

Experts disagree about the causes and significance of the recent increases in the prevalence of autism spectrum disorders (ASDs). Limited data on population base rates contribute to this uncertainty. Using a population-based sample, the authors sought to estimate the prevalence and describe the clinical characteristics of ASDs in school-age children.The target population was all 7- to 12-year-old children (N=55,266) in a South Korean community; the study used a high-probability group from special education schools and a disability registry and a low-probability, general-population sample from regular schools. To identify cases, the authors used the Autism Spectrum Screening Questionnaire for systematic, multi-informant screening. Parents of children who screened positive were offered comprehensive assessments using standardized diagnostic procedures.The prevalence of ASDs was estimated to be 2.64% (95% CI=1.91-3.37), with 1.89% (95% CI=1.43-2.36) in the general-population sample and 0.75% (95% CI=0.58-0.93) in the high-probability group. ASD characteristics differed between the two groups: the male-to-female ratios were 2.5:1 and 5.1:1 in the general population sample and high-probability group, respectively, and the ratios of autistic disorders to other ASD subtypes were 1:2.6 and 2.6:1, respectively; 12% in the general-population sample had superior IQs, compared with 7% in the high-probability group; and 16% in the general-population sample had intellectual disability, compared with 59% in the high-probability group.Two-thirds of ASD cases in the overall sample were in the mainstream school population, undiagnosed and untreated. These findings suggest that rigorous screening and comprehensive population coverage are necessary to produce more accurate ASD prevalence estimates and underscore the need for better detection, assessment, and services.

There is increasing consensus that disruptive behavior disorders and syndromes (DBDs) are identifiable in preschool children. There is also concomitant recognition of the limitations of the current DBD nosology for distinguishing disruptive behavior symptoms from the normative misbehavior of early childhood. In particular, there appears to be substantial insensitivity to heterotypic manifestations of this developmental period and problems in identifying meaningful heterogeneity. As a result, the developmental basis for much of the current nosology may be called into question. To address these and other critical issues, this paper reviews the foundational elements of clinical and developmental science pertinent to developmental differentiation of disruptive behavior in the preschool period as paradigmatic for developmental specification across the lifespan and generates an agenda for future research. We begin by reviewing evidence of the validity of DBDs in preschool children. This is followed by an outline of key developmental concepts and a review of the corollary evidence from developmental science. These provide a basis for conceptualizing disruptive behavior in reference to developmental deviation in four core dimensions hypothesized to mark the core features of disruptive behavior syndromes. Finally, we propose a program of research to establish an empirical basis for determining the incremental utility of a developmentally specified nosology. Central to this approach is a contention that the benefits of developmental specification are extensive and outweigh any disadvantages. This is because a developmentally specified approach holds substantial promise for increasing sensitivity and specificity for differentiating disruptive behavior from normative misbehavior and from other related syndromes as well as for improving prediction. Further, more precisely defined, developmentally based phenotypes are likely to elucidate distinct mechanisms within translational studies and to serve as a catalyst for the generation of novel treatments.

Genetic susceptibility to antisocial behavior may increase fetal sensitivity to prenatal exposure to cigarette smoke. Testing putative gene x exposure mechanisms requires precise measurement of exposure and outcomes. We tested whether a functional polymorphism in the gene encoding the enzyme monoamine oxidase A (MAOA) interacts with exposure to predict pathways to adolescent antisocial behavior. We assessed both clinical and information-processing outcomes. One hundred seventy-six adolescents and their mothers participated in a follow-up of a pregnancy cohort with well-characterized exposure. A sex-specific pattern of gene x exposure interaction was detected. Exposed boys with the low-activity MAOA 5' uVNTR (untranslated region variable number of tandem repeats) genotype were at increased risk for conduct disorder (CD) symptoms. In contrast, exposed girls with the high-activity MAOA uVNTR genotype were at increased risk for both CD symptoms and hostile attribution bias on a face-processing task. There was no evidence of a gene-environment correlation (rGE). Findings suggest that the MAOA uVNTR genotype, prenatal exposure to cigarettes and sex interact to predict antisocial behavior and related information-processing patterns. Future research to replicate and extend these findings should focus on elucidating how gene x exposure interactions may shape behavior through associated changes in brain function.

Objective: To examine the reliability of the Disruptive Behavior Diagnostic Observation Schedule (DB-DOS), a new observational method for assessing preschool disruptive behavior. Method: The DB-DOS is a structured clinic-based assessment designed to elicit clinically salient behaviors relevant to the diagnosis of disruptive behavior in preschoolers. Child behavior is assessed in three interactional contexts that vary by partner (parent versus examiner) and level of support provided. Twenty-one disruptive behaviors are coded within two domains: problems in Behavioral Regulation and problems in Anger Modulation. A total of 364 referred and nonreferred preschoolers participated: interrater reliability and internal consistency were assessed on a primary sample ( n = 335) and test-retest reliability was assessed in a separate sample ( n = 29). Results: The DB-DOS demonstrated good interrater and test-retest reliability. Confirmatory factor analysis demonstrated an excellent fit of the DB-DOS multidomain model of disruptive behavior. Conclusions: The DB-DOS is a reliable observational tool for clinic-based assessment of preschool disruptive behavior. This standardized assessment method holds promise for advancing developmentally sensitive characterization of preschool psychopathology.

OBJECTIVE: To examine the validity of the Disruptive Behavior Diagnostic Observation Schedule (DB-DOS), a new observational method for assessing preschool disruptive behavior. METHOD: A total of 327 behaviorally heterogeneous preschoolers from low-income environments comprised the validation sample. Parent and teacher reports were used to identify children with clinically significant disruptive behavior. The DB-DOS assessed observed disruptive behavior in two domains, problems in Behavioral Regulation and Anger Modulation, across three interactional contexts: Examiner Engaged, Examiner Busy, and Parent. Convergent and divergent validity of the DB-DOS were tested in relation to parent and teacher reports and independently observed behavior. Clinical validity was tested in terms of criterion and incremental validity of the DB-DOS for discriminating disruptive behavior status and impairment, concurrently and longitudinally. RESULTS: DB-DOS scores were significantly associated with reported and independently observed behavior in a theoretically meaningful fashion. Scores from both DB-DOS domains and each of the three DB-DOS contexts contributed uniquely to discrimination of disruptive behavior status, concurrently and predictively. Observed behavior on the DB-DOS also contributed incrementally to prediction of impairment over time, beyond variance explained by meeting DSM-IV disruptive behavior disorder symptom criteria based on parent/teacher report. CONCLUSIONS: The multidomain, multicontext approach of the DB-DOS is a valid method for direct assessment of preschool disruptive behavior. This approach shows promise for enhancing accurate identification of clinically significant disruptive behavior in young children and for characterizing subtypes in a manner that can directly inform etiological and intervention research.

It is now well established that impairments associated with ADHD often extend beyond the school day. As a result, new treatments have been developed to improve attention and reduce overactivity and impulsivity for increasingly longer periods of time. These longer–acting methylphenidate and amphetamine–based stimulants have become the most common ADHD medications. However, in addition to their salutary effects, ADHD medications can lead to less desirable effects in other functional domains, such as sleep. This review will describe the relationship between ADHD, stimulant medication, and sleep while highlighting clinical implications. A wide variety of sleep problems often co–occur with ADHD and often may antedate treatment. In fact, treatment of some sleep disorders (e.g., Sleep Disordered Breathing Disorder, Delayed Sleep Phase Disorder) may, in and of themselves, lead to improved attention or behavior. As a result, a sleep history and baseline measure of sleep functioning are an essential component of a proper evaluation of individuals presenting with symptoms of ADHD. If a primary sleep disorder is suspected, further sleep evaluation should be conducted by appropriately trained professionals. More commonly, however, sleep problems coexist with ADHD and psychiatric comorbidity, or may result from, or are exacerbated by, stimulant medication.

Background: Attaining a developmentally sensitive nosology for preschool disruptive behavior requires characterization of the features that distinguish it from the normative misbehavior of this developmental period. We hypothesize that quality of behavior and its pervasiveness across contexts are critical dimensions for clinical discrimination in young children and propose that structured diagnostic observation provides a systematic method for their identification. We use the Disruptive Behavior Diagnostic Observation Schedule (DB-DOS) to examine whether: (a) observed quality and pervasiveness of behavior distinguishes preschoolers with clinically concerning disruptive behavior from typically developing preschoolers, and (b) observed pattern of clinically salient behavior predicts impairment above and beyond maternal report of behavioral frequency. Methods: Participants are a behaviorally heterogeneous sample of preschoolers (N = 327). Diagnostic methods developed for clinical assessment of preschoolers were used to classify children as (a) Non-Disruptive, (b) Sub-Clinical, or (c) Disruptive. Child behavior was coded based on interactions with parent and examiner during the DB-DOS. Results: Quality and pervasiveness of observed behaviors during the DB-DOS significantly distinguished the three behavioral groups. Discriminative utility varied depending on the comparison. With few exceptions, clinically concerning patterns on the DB-DOS added significant incremental utility in predicting impairment. Conclusions: Observed patterns of clinically salient behavior show promise for advancing developmentally-informed characterization of disruptive behavior within the preschool period.