Brief report: The use of WAIS-III in adults with HFA and Asperger syndrome. (49/149)

The WAIS III was administered to 16 adults with high functioning autism (HFA) and 27 adults with Asperger syndrome. Differences between Verbal Intelligence (VIQ) and Performance Intelligence (PIQ) were not found. Processing Speed problems in people with HFA appeared. At the subtest level, the Asperger syndrome group performed weak on Digit Span. Comprehension and Block Design were relative strengths. In the HFA group, performance on Digit-Symbol Coding and Symbol Search was relatively poor. Strengths were found on Information and Matrix Reasoning. The results suggest that the VIQ-PIQ difference cannot distinguish between HFA and Asperger syndrome. WAIS III Factor Scale and Subtest patterning provides a more valid indicator.  (+info)

Cortical folding abnormalities in autism revealed by surface-based morphometry. (50/149)

We tested for cortical shape abnormalities using surface-based morphometry across a range of autism spectrum disorders (7.5-18 years of age). We generated sulcal depth maps from structural magnetic resonance imaging data and compared typically developing controls to three autism spectrum disorder subgroups: low-functioning autism, high-functioning autism, and Asperger's syndrome. The low-functioning autism group had a prominent shape abnormality centered on the pars opercularis of the inferior frontal gyrus that was associated with a sulcal depth difference in the anterior insula and frontal operculum. The high-functioning autism group had bilateral shape abnormalities similar to the low-functioning group, but smaller in size and centered more posteriorly, in and near the parietal operculum and ventral postcentral gyrus. Individuals with Asperger's syndrome had bilateral abnormalities in the intraparietal sulcus that correlated with age, intelligence quotient, and Autism Diagnostic Interview-Revised social and repetitive behavior scores. Because of evidence suggesting age-related differences in the developmental time course of neural alterations in autism, separate analyses on children (7.5-12.5 years of age) and adolescents (12.75-18 years of age) were also carried out. All of the cortical shape abnormalities identified across all ages were more pronounced in the children. These findings are consistent with evidence of an altered trajectory of early brain development in autism, and they identify several regions that may have abnormal patterns of connectivity in individuals with autism.  (+info)

Treating excessively slow responding of a young man with Asperger syndrome using differential reinforcement of short response latencies. (51/149)

Fjellstedt and Sulzer-Azaroff (1973) used differential reinforcement of short latencies to decrease a child's latency to comply with instructions. We replicated this contingency with a young man diagnosed with Asperger syndrome across two tasks (question answering and math problem solving). We added a differential reinforcement contingency to teach the participant to discriminate between math problems that could be answered rapidly and those that required more time for accurate performance.  (+info)

Psychiatric hospitalization among children with autism spectrum disorders. (52/149)

This study examined predictors of psychiatric hospitalization among children with autism spectrum disorders (ASD). Data were collected from 760 caregivers of children with ASD. Cox regression was used to determine factors associated with hospitalization. Almost 11% were hospitalized. Youth in single parent homes were more likely to be hospitalized (OR = 2.54), as were youth diagnosed at a later age (OR = 1.10). Engaging in self-injurious behavior (OR = 2.14), aggressive behavior (OR = 4.83), and being diagnosed with depression (OR = 2.48) or obsessive compulsive disorder (OR = 2.35) increased the odds of hospitalization. Risk for hospitalization increased with age and over time. The results suggest early diagnosis and community-based interventions for aggressive and self-injurious behaviors may reduce hospitalizations.  (+info)

The importance of physician knowledge of autism spectrum disorder: results of a parent survey. (53/149)

BACKGROUND: Early diagnosis and referral to treatment prior to age 3-5 years improves the prognosis of children with Autism Spectrum Disorder (ASD). However, ASD is often not diagnosed until age 3-4 years, and medical providers may lack training to offer caregivers evidence-based treatment recommendations. This study tested hypotheses that 1) children with ASD would be diagnosed between ages 3-4 years (replicating prior work), 2) caregivers would receive little information beyond the diagnosis from their medical providers, and 3) caregivers would turn to other sources, outside of their local health care professionals, to learn more about ASD. METHODS: 146 ASD caregivers responded to an online survey that consisted of questions about demographics, the diagnostic process, sources of information/support, and the need and availability of local services for ASDs. Hypotheses were tested using descriptives, regression analyses, analyses of variance, and chi-squared. RESULTS: The average age of diagnosis was 4 years, 10 months and the mode was 3 years. While approximately 40% of professionals gave additional information about ASD after diagnosis and 15-34% gave advice on medical/educational programs, only 6% referred to an autism specialist and 18% gave no further information. The diagnosis of Autism was made at earlier ages than Asperger's Disorder or PDD-NOS. Developmental pediatricians (relative to psychiatrists/primary care physicians, neurologists, and psychologists) were associated with the lowest age of diagnosis and were most likely to distribute additional information. Caregivers most often reported turning to the media (i.e., internet, books, videos), conferences, and other parents to learn more about ASD. CONCLUSION: The average age of ASD diagnosis (4 years, 10 months) was later than optimal if children are to receive the most benefit from early intervention. Most professionals gave caregivers further information about ASDs, especially developmental pediatricians, but a sizeable minority did not. This may reflect a lack of training in the wide range of behaviors that occur across the autism spectrum. Parents turned to outside sources to learn more about ASD. We recommend that all physicians receive specialized training about ASDs to improve upon early screening and diagnosis, and then advise caregivers about empirically-supported services.  (+info)

Sleep architecture and NREM alterations in children and adolescents with Asperger syndrome. (54/149)

STUDY OBJECTIVES: To analyze sleep in children with Asperger syndrome (AS) by means of standard sleep questionnaires, to evaluate sleep architecture and NREM sleep alterations by means of cyclic alternating pattern (CAP) and to correlate objective sleep parameters with cognitive behavioral measures. DESIGN: Cross-sectional study involving validated sleep questionnaires, neuropsychological scales, and PSG recording. SETTING: Sleep medicine center. PARTICIPANTS: Eight children with AS, 10 children with autism, and 12 healthy control children. INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Children with AS had a higher prevalence of problems of initiating sleep and daytime sleepiness. Sleep architecture parameters showed minor differences between the 3 groups. CAP parameters showed an increased percentage of A1 and a decreased percentage of A2 subtypes in subjects with AS vs. controls. All A subtype indexes (number per hour of NREM sleep) were decreased, mostly in sleep stage 2 but not in SWS. With respect to children with autism, subjects with AS showed increased CAP rate in SWS and A1 percentage. In subjects with AS, verbal IQ had a significant positive correlation with total CAP rate and CAP rate in SWS and with global and SWS A1 index. The percentage of A2 negatively correlated with full scale IQ, verbal and performance IQ. CBCL total score correlated positively with CAP rate and A1 index while externalizing score correlated negatively with A3%. CONCLUSIONS: This study shows peculiar CAP modifications in children with AS and represents an attempt to correlate the quantification of sleep EEG oscillations with the degree of mental ability/disability.  (+info)

Oppositional defiant disorder as a clinical phenotype in children with autism spectrum disorder. (55/149)

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Genes controlling affiliative behavior as candidate genes for autism. (56/149)

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