To date no reliable and objective, change sensitive instrument for autistic symptoms is available. The brief observation of social communication change (BOSCC) was specifically developed to measure change of core autistic symptoms, for example, for use as outcome measure in early intervention trials. This study investigated quality criteria of a preliminary research version of the BOSCC in N = 21 children with autism spectrum disorder (ASD) who had participated for 1 year in the Frankfurt early intervention program (FFIP). BOSCC rating was done on play based ADOS video scenes. Inter-rater agreement on the BOSCC average total was very high. The BOSCC showed a significant decrease of autistic symptoms after 1 year with a medium effect size. Symptom specific improvements were captured by the social communication subscale and most single items. The BOSCC showed comparable change sensitivity to other autism specific instruments. Future studies should focus on the finalized BOSCC version, and replicate findings in a larger sample. Autism Res 2016, 9: 940-950. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.

Abstract. Abstracts: Objective: In current international research, early intervention in children with autism-spectrum disorder (ASD) focuses on naturalistic developmental behavioral interventions (NDBI). The manualized Frankfurt Early Intervention Program for preschool-aged children with ASD (A-FFIP) implements NDBI principles within a low-intensity approach of 2 h intervention/week. The present case-control study established effect sizes of change in autistic symptoms, comorbid behavioral problems as well as IQ after one year. Methodology: An intervention group (N = 20; age: 3.4–7.9 years) and a treatment-as-usual control group (N = 20; age: 3.2–7.3 years) of children with ASD were matched for developmental and chronological age. The outcome measures used were the ADOS severity score, the Child Behavior Checklist, and cognitive development. Results: After one year, the A-FFIP group showed a trend towards greater improvement in autistic symptoms (η2 = .087 [95 %-CI: .000–.159]) and significantly greater improvements in cognitive development (η2 = .206 [CI: .012–.252]) and global psychopathology (η2 = .144 [CI: .001–.205]) compared to the control group. Conclusion: The efficacy of A-FFIP should be established in a larger, sufficiently powered, randomized controlled study.

Autism spectrum disorder (ASD) as well as oppositional defiant (ODD) and conduct disorder (CD) is characterised by difficulties in social interaction with peers. The Social Responsiveness Scale (SRS) measures reciprocal social behaviour in children and adolescents and was originally developed as a quantitative measure of autistic traits. In the present study, we compare parent-rated SRS scores in children with ODD, CD, and ASD and examine the diagnostic validity of the SRS alone and in combination with additional questionnaires to differentiate between groups. We hypothesize that the SRS better differentiates ASD and typically developing controls (TD) than ASD and the disruptive behaviour disorders ODD and CD. The sample consists of three clinical groups: ASD without comorbid intellectual delay (N = 55), ODD/CD (N = 55), and TD (N = 55), between 6 and 18 years. The groups were matched by age, sex, and IQ. SRS scores were compared for the three groups. Sensitivity and specificity of the SRS total and sub-scores were examined by receiver operating characteristics (ROC) analyses. Logistic regression analyses were calculated for estimating the rate of correctly specified individuals. The SRS differentiated excellently between ASD and TD (ROC-AUC = 1.00), but sensitivity and specificity were considerably lower when ASD was compared with ODD/CD (ROC-AUC = 0.82). A combination of three parent-rated questionnaires resulted in an improved validity to differentiate ASD and ODD/CD. For clinical screening purposes in children suspicious of ASD and/or ODD/CD, the SRS should be used in combination with additional disorder-specific questionnaires to improve the rate of correct classification of both disorders.

The neurophysiological underpinnings of the nonsocial symptoms of autism spectrum disorder (ASD) which include sensory and perceptual atypicalities remain poorly understood. Well-known accounts of less dominant top-down influences and more dominant bottom-up processes compete to explain these characteristics. These accounts have been recently embedded in the popular framework of predictive coding theory. To differentiate between competing accounts, we studied altered information dynamics in ASD by quantifying predictable information in neural signals. Predictable information in neural signals measures the amount of stored information that is used for the next time step of a neural process. Thus, predictable information limits the (prior) information which might be available for other brain areas, for example, to build predictions for upcoming sensory information. We studied predictable information in neural signals based on resting-state magnetoencephalography (MEG) recordings of 19 ASD patients and 19 neurotypical controls aged between 14 and 27 years. Using whole-brain beamformer source analysis, we found reduced predictable information in ASD patients across the whole brain, but in particular in posterior regions of the default mode network. In these regions, epoch-by-epoch predictable information was positively correlated with source power in the alpha and beta frequency range as well as autocorrelation decay time. Predictable information in precuneus and cerebellum was negatively associated with nonsocial symptom severity, indicating a relevance of the analysis of predictable information for clinical research in ASD. Our findings are compatible with the assumption that use or precision of prior knowledge is reduced in ASD patients.