Multiyear Evaluation of Maintenance Electroconvulsive Therapy in an Adult With Autism Spectrum Disorder, Catatonia, and Challenging Behavior.

ABSTRACT: We report the case of a 30-year-old man diagnosed with autism spectrum disorder who received electroconvulsive therapy (ECT) over a 4-year period to treat catatonia associated with life-threatening self-injury, aggression, major depression, and associated self-care, daily living, and communication skills deficits. A systematic schedule of maintenance ECT (m-ECT) was associated with elimination of challenging behavior, catatonic and depressive symptom remission, removal of protective equipment, and reduced dosages of psychotropic medications.

Psychotropic Medication Monitoring in a Human Services Organization for Children with Autism Spectrum Disorder: Description and Evaluation of Interdisciplinary Team Review.

Children with autism spectrum disorder (ASD) are often prescribed psychotropic medications but pharmacotherapy is typically conducted and evaluated based on clinical judgement without reference to objective measurement of treatment effectiveness and combined efficacy of pharmacological-behavioral interventions. We describe an interdisciplinary review team (IRT) model at a human services organization for children with ASD that was designed to standardize a process of psychotropic medication monitoring through (1) coordinated involvement of medical, nursing, behavior analyst, and special education professionals, (2) parent-guardian participation, (3) data-driven decision making, and (4) high-level administrative support. Our description includes case illustrations of medication reduction-elimination trials with five students and social validity assessment of IRT clinicians, nurses, and parent-guardians. Key components of the IRT model are emphasized with associated practice and research recommendations.

Teaching students with autism spectrum disorder to tolerate haircutting.

We describe intervention with 2 adolescent male students who had autism spectrum disorder (ASD) and resisted haircutting performed by care providers at a residential school. The students were exposed to a graduated hierarchy of steps including the presence of hair clippers, and increased duration of hair clippers against their scalp and hair. Edible reinforcement was presented contingent on completion of a step without interfering behavior. Both students learned to tolerate all of the steps in the graduated hierarchy and a full haircut with maintenance at 2-, 4-, and 6-month follow-up. The study supports previous tolerance-training research with children and youth who have intellectual and developmental disabilities and resist personal care and hygiene routines.

Sleep patterns predictive of daytime challenging behavior in individuals with low-functioning autism.

Increased severity of problematic daytime behavior has been associated with poorer sleep quality in individuals with autism spectrum disorder. In this work, we investigate whether this relationship holds in a real-time setting, such that an individual's prior sleep can be used to predict their subsequent daytime behavior. We analyzed an extensive real-world dataset containing over 20,000 nightly sleep observations matched to subsequent challenging daytime behaviors (aggression, self-injury, tantrums, property destruction and a challenging behavior index) across 67 individuals with low-functioning autism living in two U.S. residential facilities. Using support vector machine classifiers, a statistically significant predictive relationship was found in 81% of individuals studied (P < 0.05). For all five behaviors examined, prediction accuracy increased up to approximately eight nights of prior sleep used to make the prediction, indicating that the behavioral effects of sleep may manifest on extended timescales. Accurate prediction was most strongly driven by sleep variability measures, highlighting the importance of regular sleep patterns. Our findings constitute an initial step towards the development of a real-time monitoring tool to pre-empt behavioral episodes and guide prophylactic treatment for individuals with autism. Autism Res 2018, 11: 391-403. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We analyzed over 20,000 nights of sleep from 67 individuals with autism to investigate whether daytime behaviors can be predicted from prior sleep patterns. Better-than-chance accuracy was obtained for 81% of individuals, with measures of night-to-night variation in sleep timing and duration most relevant for accurate prediction. Our results highlight the importance of regular sleep patterns for better daytime functioning and represent a step toward the development of 'smart sleep technologies' to pre-empt behavior in individuals with autism.

Behaviorally-determined sleep phenotypes are robustly associated with adaptive functioning in individuals with low functioning autism.

Despite sleep disturbance being a common complaint in individuals with autism, specific sleep phenotypes and their relationship to adaptive functioning have yet to be identified. This study used cluster analysis to find distinct sleep patterns and relate them to independent measures of adaptive functioning in individuals with autism. Approximately 50,000 nights of care-giver sleep/wake logs were collected on school-days for 106 individuals with low functioning autism (87 boys, 14.77 ± 3.11 years) for 0.5-6 years (2.2 ± 1.5 years) from two residential schools. Using hierarchical cluster analysis, performed on summary statistics of each individual across their recording duration, two clusters of individuals with clearly distinguishable sleep phenotypes were found. The groups were summarized as 'unstable' sleepers (cluster 1, n = 41) and 'stable' sleepers (cluster 2, n = 65), with the former exhibiting reduced sleep duration, earlier sleep offset, and less stability in sleep timing. The sleep clusters displayed significant differences in properties that were not used for clustering, such as intellectual functioning, communication, and socialization, demonstrating that sleep phenotypes are associated with symptom severity in individuals with autism. This study provides foundational evidence for profiling and targeting sleep as a standard part of therapeutic intervention in individuals with autism.

Description of a practitioner training program on functional analysis and treatment development.

The current project examined the effectiveness of a functional analysis skills training package for practitioners with advanced degrees working within an applied setting. Skills included appropriately carrying out the functional analysis conditions as outlined by Iwata, Dorsey, Slifer, Bauman, and Richman (1982/1994), interpreting multielement functional analysis graphs using the methodology described by Hagopian et al. (1997), determining next steps when functional analysis data are undifferentiated, and selecting function-based interventions once functional analysis data are conclusive. The performance of three participants was examined within a multiple baseline design across participants. Although performance varied, baseline skill level was insufficient prior to intervention across participants and skill areas. Mastery was attained for all participants within four to eight training sessions per skill and the acquired skills were demonstrated effectively during generalization trials. Minimal retraining was required for some component skills at a 3-month follow up.