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Fluoxetine is a selective serotonin reuptake inhibitor (SSRI) that reduces obsessive-compulsive symptoms. There is limited evidence supporting its efficacy for repetitive behaviors (RRBs) in autistic spectrum disorder (ASD). We conducted a randomized controlled trial (RCT) of fluoxetine in 158 individuals with ASD (5-17 years). Following 14 treatment weeks (mean dose 11.8 mg/day), no significant differences were noted on the Children's Yale-Brown Obsessive Compulsive Scale; the proportion of responders was similar (fluoxetine: 36%; placebo: 41%). There were similar rates of AEs (e.g., insomnia, diarrhea, vomiting); high rates of activation were reported in both groups (fluoxetine: 42%; placebo: 45%). Overly cautious dosing/duration may have prevented attainment of a therapeutic level. Results are consistent with other SSRI RCTs treating RRBs in ASD.Trial Registration: clinicaltrials.gov Identifier: NCT00515320.

Previous findings have shown that individuals with autism spectrum disorder (ASD) evince greater intra-individual variability (IIV) in their sensory-evoked fMRI responses compared to typical control participants. We explore the robustness of this finding with a new sample of high-functioning adults with autism. Participants were presented with visual, somatosensory and auditory stimuli in the scanner whilst they completed a one-back task. While ASD and control participants were statistically indistinguishable with respect to behavioral responses, the new ASD group exhibited greater IIV relative to controls. We also show that the IIV was equivalent across hemispheres and remained stable over the duration of the experiment. This suggests that greater cortical IIV may be a replicable characteristic of sensory systems in autism., Competing Interests: The authors declare that they have no conflict of interest pertaining to the data described here.

We examined whether different doses of therapeutic riding influenced parent-nominated target behaviors of children with autism spectrum disorder (ASD) (a) during the session (b) at home, and (c) in the community. We used a single subject multiple Baseline, multiple case design, with dosing of 1, 3, and 5 times/week. Three boys with ASD, 6-8 years of age participated, and counts of target behaviors were collected in each setting and phase of the study. Compared to Baseline, 70% of the target behaviors were better during Intervention and improvement was retained in 63% of the behaviors during Withdrawal. Increased doses of therapeutic riding were significant for magnitude of change, and the effect of the therapeutic riding sessions generalized to home and community.

Diagnostic and Statistical Manual (DSM-5) criteria for ASD have been criticized for being too restrictive, especially for more cognitively-able individuals. It is unclear, however, if high-functioning individuals deemed eligible for research via standardized diagnostic assessments would meet DSM-5 criteria. This study investigated the impact of DSM-5 on the diagnostic status of 498 high-functioning participants with ASD research diagnoses. The percent of participants satisfying all DSM-5-requirements varied significantly with reliance on data from the Autism Diagnostic Observation Schedule (ADOS; 33 %) versus Autism Diagnostic Interview-Revised (ADI-R; 83 %), highlighting the impact of diagnostic methodology on ability to document DSM-5 symptoms. Utilizing combined ADOS/ADI-R data, 93 % of participants met DSM-5 criteria, which suggests likely continuity between DSM-IV and DSM-5 research samples characterized with these instruments in combination.

The Child Behavior Checklist (CBCL) is a widely used questionnaire to assess behavioral and emotional problems. It is often used as a diagnostic screener, but autism spectrum disorders (ASD) are not included in the CBCL for school-aged children. This study investigated patterns of CBCL scores in 108 children with high-functioning ASD from two independent samples, and 67 IQ- and age-matched controls. Scores on the CBCL Thought and Social Problems scales significantly differentiated children with ASD from controls. Both independent ASD samples had the same pattern of elevations, with mean scores over two standard deviations above the mean for Social, Thought, and Attention Problems. The Withdrawn/Depressed scale was elevated to at least the borderline clinical range for half of the ASD sample. This pattern of elevations is consistent with two prior studies of the CBCL with school-aged children with ASD, and therefore may warrant follow-up assessment to rule out an ASD.

A multi-site study of 351 children with Autism Spectrum Disorders (ASD) and 31 typically developing children used caregiver interviews to describe the children's early acquisition and loss of social-communication milestones. For the majority of children with ASD who had experienced a regression, pre-loss development was clearly atypical. Children who had lost skills also showed slightly poorer outcomes in verbal IQ and social reciprocity, a later mean age of onset of autistic symptoms, and more gastrointestinal symptoms than children with ASD and no regression. There was no evidence that onset of autistic symptoms or of regression was related to measles-mumps-rubella vaccination. The implications of these findings for the existence of a 'regressive phenotype' of ASD are discussed.

A multicenter study of 308 children with Autism Spectrum Disorder (ASD) was conducted through the Collaborative Programs of Excellence in Autism (CPEA), sponsored by the National Institute of Child Health and Human Development, to compare the family history of autoimmune disorders in children with ASD with and without a history of regression. A history of regression was determined from the results of the Autism Diagnostic Interview-Revised (ADI-R). Family history of autoimmune disorders was obtained by telephone interview. Regression was significantly associated with a family history of autoimmune disorders (adjusted OR=1.89; 95% CI: 1.17, 3.10). The only specific autoimmune disorder found to be associated with regression was autoimmune thyroid disease (adjusted OR=2.09; 95% CI: 1.28, 3.41).

Recent structural and functional imaging work, as well as neuropathology and neuropsychology studies, provide strong empirical support for the involvement of frontal cortex in autism. The Cambridge Neuropsychological Test Automated Battery (CANTAB) is a computer-administered set of neuropsychological tests developed to examine specific components of cognition. Previous studies document the role of frontal cortex in performance of two CANTAB subtests: the Stockings of Cambridge, a planning task, and the Intradimensional/Extradimensional Shift task, a measure of cognitive set shifting. To examine the integrity of frontal functions, these subtests were administered to 79 participants with autism and 70 typical controls recruited from seven universities who are part of the Collaborative Programs of Excellence in Autism network. The two groups were matched on age, sex, and full-scale IQ. Significant group differences were found in performance on both subtests, with the autism group showing deficits in planning efficiency and extradimensional shifting relative to controls. Deficits were found in both lower- and higher-IQ individuals with autism across the age range of 6 to 47 years. Impairment on the CANTAB executive function subtests did not predict autism severity or specific autism symptoms (as measured by the ADI-R and ADOS), but it was correlated with adaptive behavior. If these CANTAB subtests do indeed measure prefrontal function, as suggested by previous research with animals and lesion patients, this adds to the accumulating evidence of frontal involvement in autism and indicates that this brain region should remain an active area of investigation.

Attentional processes in individuals with high-functioning autism were compared with a matched control group. Participants for the study were 103 children and adults with autism and 103 control subjects. Measures administered corresponded to Mirsky et al.'s (1991) factor analysis of tests of attention. Diminished performance was noted on measures that loaded on the Focus-Execute and Shift factors, but not on the Sustain and Encode factors. For tests in which psychomotor speed was used as the score, and the difference between groups was significant, covariance analyses were performed, using tests of basic motor functions as covariates. This procedure led to attenuation to the point of nonsignificant differences in the case of some of the attention tests. Thus, this comprehensive analysis of attention in individuals with high-functioning autism only found differences on measures in which the task placed demands on cognitive flexibility or psychomotor speed. Thus, purported attention deficits in autism may actually be primary deficits in complex decision making or psychomotor abilities.

The Child Neurology Society and American Academy of Neurology recently proposed to formulate Practice Parameters for the Diagnosis and Evaluation of Autism for their memberships. This endeavor was expanded to include representatives from nine professional organizations and four parent organizations, with liaisons from the National Institutes of Health. This document was written by this multidisciplinary Consensus Panel after systematic analysis of over 2,500 relevant scientific articles in the literature. The Panel concluded that appropriate diagnosis of autism requires a dual-level approach: (a) routine developmental surveillance, and (b) diagnosis and evaluation of autism. Specific detailed recommendations for each level have been established in this document, which are intended to improve the rate of early suspicion and diagnosis of, and therefore early intervention for, autism.

Results from ROC curves of items from two scales, the Autism Diagnostic Interview (ADI) and Autism Diagnostic Interview-Revised (ADI-R), operationalizing DSM-IV criteria for autism are presented for 319 autistic and 113 other subjects from 8 international autism centers. Analyses indicate that multiple items were necessary to attain adequate sensitivity and specificity if samples with varying levels of language were considered separately. Although considering only current behavior was generally sufficient when a combination cutoff and additive model was employed, predictive power was highest when history was taken into account. A single set of criteria, as operationalized by individually structured questions in the ADI/ADI-R, was effective in differentiating autism from mental handicap and language impairment in subjects with a range of chronological ages and developmental levels.

A Wechsler Intelligence Scale profile characterized by VIQ < PIQ with lowest subtest score on Comprehension and highest on Block Design has been associated with autism. Recently, this profile has been applied to assess the accuracy of diagnosis in research samples and for differentiating autism from similar disorders in high-functioning individuals. Universality of this profile, however, has not been sufficiently demonstrated. We therefore examined WISC-R and WAIS-R profile characteristics in 81 rigorously diagnosed high-functioning (VIQ and FSIQ > 70) children (n = 45) and adults (n = 36) with autism. Analysis of the profiles in these groups did not reveal the presumed typical VIQ < PIQ pattern. The typical subtest pattern was found, but the magnitude of profile variability was small. We concluded that individuals with autism can demonstrate a wide range of ability levels and patterns on the Wechsler scales, without a single characteristic prototype. Use of IQ score profiles in the diagnosis and differential diagnosis of autism in high-functioning individuals is not considered valid.