Evaluation of an Immersive Virtual Reality Safety Training Used to Teach Pedestrian Skills to Children With Autism Spectrum Disorder.

Children with autism spectrum disorder (ASD) are at an increased risk of injury, making safety skills training essential. Whether such training is conducted in the natural environment or in contrived settings is an important consideration for generalization and safety purposes. Immersive virtual reality (VR) environments may offer the advantages of both contrived and natural environment training settings, providing structure to create repeated learning opportunities in a safe and realistic analogue of the natural environment. The current study evaluated the effectiveness of an immersive VR safety skills training environment in teaching 3 children with ASD to identify whether it is safe to cross the street. After modifications to the VR training environment, all 3 participants reached mastery criteria in both VR and natural environment settings. Findings suggest that immersive VR is a promising medium for the delivery of safety skills training to individuals with ASD.

Applied behavior analytic interventions for children with autism: a description and review of treatment research.

BACKGROUND: Autism is a disorder characterized by pervasive delays in the development of language and socialization, and the presence of stereotyped, repetitive behaviors or nonfunctional interests. Although a multitude of treatments for autism exist, very few have been the subject of scientific research. The only treatment that has been supported by substantial empirical research is treatment based on applied behavior analysis (ABA). METHODS: This article describes components of comprehensive ABA treatment programs, reviews research on effectiveness, and discusses issues related to collaboration between ABA and psychiatry. RESULTS: ABA has been supported by several hundred single case experiments and an increasing number of between-groups studies. Comprehensive ABA treatment programs are comprised of multiple intervention procedures, such as discrete trial instruction and natural environment training, and are founded on basic principles of learning and motivation, such as positive reinforcement, extinction, stimulus control, and generalization. Clinicians in the fields of ABA and psychiatry have similar goals regarding client outcome, and several ABA measurement and analysis procedures produce information that may be useful to psychiatrists. CONCLUSIONS: ABA treatment programs for individuals with autism are supported by a significant amount of scientific evidence and are therefore recommended for use. Patient care would likely benefit from a greater degree of collaboration between practitioners in the fields of ABA and psychiatry.

Retrospective analysis of clinical records in 38 cases of recovery from autism.

BACKGROUND: Twenty years of research on early intensive treatment using applied behavior analysis (ABA) for children with autism has consistently produced robust effects. There appears to be a subset of children whose response to intensive ABA treatments includes achieving a level of functioning that is indistinguishable from typically developing peers. The purpose of this study was to describe a subset of children who recovered from autism following intensive ABA interventions. METHODS: We reviewed the clinical files of 38 children with autism who achieved an optimal outcome after receiving intensive ABA services. RESULTS: The mean age at intake was 40 months. Average IQ was 83.6 at intake and 107.9 at discharge. Mean adaptive skills were 68.04 at intake and 88.87 at discharge. CONCLUSIONS: Our study corroborates the finding that some children with autism who receive early intensive behavioral intervention achieve functioning in the average range.

An Evaluation of a Mobile Application Designed to Teach Receptive Language Skills to Children with Autism Spectrum Disorder.

The current study evaluated the effectiveness of a mobile application, Camp Discovery, designed to teach receptive language skills to children with autism spectrum disorder based on the principles of applied behavior analysis. Participants (N = 28) were randomly assigned to an immediate-treatment or a delayed-treatment control group. The treatment group made significant gains, p < .001, M = 58.1, SE = 7.54, following 4 weeks of interaction with the application as compared to the control group, M = 8.4, SE = 2.13. Secondary analyses revealed significant gains in the control group after using the application and maintenance of acquired skills in the treatment group after application usage was discontinued. Findings suggest that the application effectively teaches the targeted skills.

Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning.

BACKGROUND AND OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous disorder. Research has explored potential ASD subgroups with preliminary evidence supporting the existence of behaviorally and genetically distinct subgroups; however, research has yet to leverage machine learning to identify phenotypes on a scale large enough to robustly examine treatment response across such subgroups. The purpose of the present study was to apply Gaussian Mixture Models and Hierarchical Clustering to identify behavioral phenotypes of ASD and examine treatment response across the learned phenotypes. MATERIALS AND METHODS: The present study included a sample of children with ASD (N = 2400), the largest of its kind to date. Unsupervised machine learning was applied to model ASD subgroups as well as their taxonomic relationships. Retrospective treatment data were available for a portion of the sample (n = 1034). Treatment response was examined within each subgroup via regression. RESULTS: The application of a Gaussian Mixture Model revealed 16 subgroups. Further examination of the subgroups through Hierarchical Agglomerative Clustering suggested 2 overlying behavioral phenotypes with unique deficit profiles each composed of subgroups that differed in severity of those deficits. Furthermore, differentiated response to treatment was found across subtypes, with a substantially higher amount of variance accounted for due to the homogenization effect of the clustering. DISCUSSION: The high amount of variance explained by the regression models indicates that clustering provides a basis for homogenization, and thus an opportunity to tailor treatment based on cluster memberships. These findings have significant implications on prognosis and targeted treatment of ASD, and pave the way for personalized intervention based on unsupervised machine learning.

Behaviour problems in institutionalised people with intellectual disability and schizophrenia spectrum disorders.

BACKGROUND: Although our understanding of dual diagnosis has improved, a deficit still exists in our knowledge of how schizophrenia spectrum disorders (SSD) manifest themselves in individuals with intellectual disability (ID). In addition, little is known about the relationship between behaviour problems and psychopathology in this population. METHOD: Utilising the Behavior Problems Inventory (BPI), three areas of problem behaviour (self-injurious, stereotyped, and aggressive/destructive) were assessed in 58 individuals with ID divided into three groups (with SSD, with a diagnosis of psychopathology other than SSD, and with ID only) and a total BPI score was calculated for each. RESULTS: The SSD group was unique when compared to the Control group (ID only) for frequency of stereotyped behaviours. Further, severity of stereotyped behaviours in the SSD group was unique compared to the Psychopathology and Control groups. CONCLUSION: The SSD group was unique compared to the other two groups, particularly for severity of stereotyped behaviours. Many specific behavioural differences were also related to either SSD or general psychopathology.

A Program Evaluation of Home and Center-Based Treatment for Autism Spectrum Disorder.

The present study aimed to retrospectively compare the relative rates of mastery of exemplars for individuals with ASD (N = 313) who received home-based and center-based services. A between-group analysis found that participants mastered significantly more exemplars per hour when receiving center-based services than home-based services. Likewise, a paired-sample analysis found that participants who received both home and center-based services had mastered 100 % more per hour while at the center than at home. These analyses indicated that participants demonstrated higher rates of learning during treatment that was provided in a center setting than in the participant's home.

Intensity and Learning Outcomes in the Treatment of Children With Autism Spectrum Disorder.

Ample research has shown that intensive applied behavior analysis (ABA) treatment produces robust outcomes for individuals with autism spectrum disorder (ASD); however, little is known about the relationship between treatment intensity and treatment outcomes. The current study was designed to evaluate this relationship. Participants included 726 children, ages 1.5 to 12 years old, receiving community-based behavioral intervention services. Results indicated a strong relationship between treatment intensity and mastery of learning objectives, where higher treatment intensity predicted greater progress. Specifically, 35% of the variance in mastery of learning objectives was accounted for by treatment hours using standard linear regression, and 60% of variance was accounted for using artificial neural networks. These results add to the existing support for higher intensity treatment for children with ASD.

Assessing side effects of pharmacotherapy treatment of bipolar disorder: a 20-year review of the literature.

A substantial literature on the effective treatment of bipolar disorder has begun to appear, particularly in the last 20 years. The majority of treatments studied have employed medications, particularly mood stabilizers, atypical antipsychotics and antidepressants. Most treatments produce side effects and medications are no exception. A review of assessment methods used to evaluate side-effect profiles is presented, along with author interpretations of these data in terms of cost and benefits. Additionally, a discussion of the implications for side-effect monitoring and management during short-term versus more long-term treatments is presented with respect to the general and intellectual disability populations. Summaries of relevant drug side-effect assessment practices are presented and future research directions are suggested.

An Evaluation of the Impact of Supervision Intensity, Supervisor Qualifications, and Caseload on Outcomes in the Treatment of Autism Spectrum Disorder.

Ample research has shown the benefits of intensive applied behavior analysis (ABA) treatment for autism spectrum disorder (ASD); research that investigates the role of treatment supervision, however, is limited. The present study examined the relationship between mastery of learning objectives and supervision hours, supervisor credentials, years of experience, and caseload in a large sample of children with ASD (N = 638). These data were retrieved from a large archival database of children with ASD receiving community-based ABA services. When analyzed together via a multiple linear regression, supervision hours and treatment hours accounted for only slightly more of the observed variance (r2 = 0.34) than treatment hours alone (r2 = 0.32), indicating that increased supervision hours do not dramatically increase the number of mastered learning objectives. In additional regression analyses, supervisor credentials were found to have a significant impact on the number of mastered learning objectives, wherein those receiving supervision from a Board Certified Behavior Analyst (BCBA) mastered significantly more learning objectives. Likewise, the years of experience as a clinical supervisor showed a small but significant impact on the mastery of learning objectives. A supervisor's caseload, however, was not a significant predictor of the number of learning objectives mastered. These findings provide guidance for best practice recommendations.

Classifying mental retardation and specific strength and deficit areas in severe and profoundly mentally retarded persons with the MESSIER.

The MESSIER, a measure of social and communication skills and the Vineland Social Maturity Scale were administered to 618 severe and profoundly mentally retarded adults. The goal of the study was to establish the potential utility of the MESSIER for classifying level of intellectual disability in this group. Comparing MESSIER scores to previously established DSM-IV-TR diagnosis, 86% of the severe and 80% of the profoundly mentally retarded persons were correctly classified. The implications of these data in using the MESSIER for classification and treatment planning are discussed.

The development and factor structure of the Functional Assessment for multiple causaliTy (FACT).

Since behavioral intervention is linked to the findings of a functional assessment, the reality of behaviors maintained by multiple functions is a frequent and troublesome issue for clinicians and researchers. Current methods of functional assessment provide little help in the way of providing information useful for prioritizing intervention strategies for problematic behaviors maintained by multiple functions. In an effort to account for this deficiency, we developed the Functional Assessment for multiple CausaliTy (FACT). The FACT is an informant-based, forced-choice measure designed to identify the most prominent function associated with the occurrence of problem behaviors. In the present study, we describe the factor structure and internal consistency of the FACT. Suggestions are provided for future validation strategies.

A Korean language translation of the Questions About Behavior Function: initial psychometric evaluation.

Identifying the function of behavior is crucial in formulating functionally-based treatment programs for people with challenging behaviors. The Questions About Behavior Function (QABF) is a well-established instrument with sound psychometric properties. The present study describes the development process for a Korean version of the QABF. The factor structure was examined in a sample of 153 QABF-K assessments, which yielded a five-factor-solution identical to the original English version. In terms of reliability, internal consistency was good with Chronbach's alpha ranging from 0.80 to 0.87 and test-retest reliability was found to be good with correlation coefficients ranging from 0.73 to 0.91. Based upon the present results, the QABF-K appears to be a promising tool for use with informants whose primary language is Korean.

A review of research on procedures for teaching safety skills to persons with developmental disabilities.

Safety skills are an important but often neglected area of training for persons with developmental disabilities (DD). The present study reviewed the literature on teaching safety skills to persons with DD. Safety skills involve a variety of behaviors such as knowing how to cross the street or what to do in case of a house fire. A number of studies have been conducted on teaching these skills to individuals with DD. The studies reviewed have varying degrees of success and demonstrate varying degrees of generalization, but the general finding has been that prompting, reinforcement, and role-playing are effective teaching procedures across a variety of participants, skills, and settings.

A systematic review of challenging behaviors in children exposed prenatally to substances of abuse.

A review of the existing literature on the occurrence of challenging behavior among children with prenatal drug exposure was conducted. While a large number of studies were identified that evaluated various outcomes of prenatal drug exposure, only 37 were found that directly evaluated challenging behaviors. Of the 37 studies, 23 focused on prenatal cocaine exposure, and 14 focused on prenatal alcohol exposure; most studies relied on broadband measures such as the CBCL for the assessment of challenging behavior. Among the 37 studies, a clear role for the postnatal environment on developing challenging behaviors was evident; however, prenatal alcohol exposure showed a much clearer independent effect upon challenging behaviors than was noted in the prenatal cocaine studies. Additionally, only 3 of the 37 studies addressed interventions for challenging behaviors, each of which showed an improvement in child behavior or parent-child interactions. As researchers have continued to show the importance of the postnatal environment, it is likely that interventions addressing specific environmental risk factors will be helpful to reduce or prevent challenging behaviors among this population.

Treatment of challenging behavior exhibited by children with prenatal drug exposure.

A large body of literature exists describing the harmful effects of prenatal drug exposure on infant and child development. However, there is a paucity of research examining strategies to ameliorate sequelae such as externalizing behavior problems. In the present study, functional analysis procedures were used to assess challenging behavior exhibited by two children who were prenatally exposed to drugs of abuse. Results for both children indicated that challenging behavior was maintained by access to positive reinforcement (adult attention and tangible items). For one child, challenging behavior was also maintained by negative reinforcement (escape from activities of daily living). Function-based interventions were effective in reducing challenging behavior for both children. Implications for utilizing methods of applied behavior analysis in research with children with prenatal drug exposure are discussed.