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.

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.

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. Keywords: functional analysis, staff training, treatment development, visual inspection ABSTRACT T

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.

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