Autism is a neurodevelopmental disorder characterized by impairments in reciprocal social interaction, deficits in verbal and nonverbal communication, and a restricted repertoire of activities or interests. We performed a magnetic resonance imaging study to better define the neuropathology of autistic spectrum disorders. Here we report findings on the amygdala and the hippocampal formation. Borders of the amygdala, hippocampus, and cerebrum were defined, and their volumes were measured in male children (7.5-18.5 years of age) in four diagnostic groups: autism with mental retardation, autism without mental retardation, Asperger syndrome, and age-matched typically developing controls. Although there were no differences between groups in terms of total cerebral volume, children with autism (7.5-12.5 years of age) had larger right and left amygdala volumes than control children. There were no differences in amygdala volume between the adolescent groups (12.75-18.5 years of age). Interestingly, the amygdala in typically developing children increases substantially in volume from 7.5 to 18.5 years of age. Thus, the amygdala in children with autism is initially larger, but does not undergo the age-related increase observed in typically developing children. Children with autism, with and without mental retardation, also had a larger right hippocampal volume than typically developing controls, even after controlling for total cerebral volume. Children with autism but without mental retardation also had a larger left hippocampal volume relative to controls. These cross-sectional findings indicate an abnormal program of early amygdala development in autism and an abnormal pattern of hippocampal development that persists through adolescence. The cause of amygdala and hippocampal abnormalities in autism is currently unknown.

Autism is common in individuals with fragile X syndrome and it is often difficult to diagnose. We compared the diagnostic classifications of two measures for autism diagnosis, the ADOS and the ADI-R, in addition to the DSM-IV-TR in 63 males with FXS. Overall, 30% of the subjects met criteria for Autistic Disorder and 30% met criteria for PDD-NOS. The classifications on the ADOS and DSM-IV-TR were most similar, whereas the ADI-R classified subjects as autistic much more frequently. We further investigated the relationship of both FMRP and FMR1 mRNA to symptoms of autism in this cohort and found that there was no significant relationship between the measures of autism and molecular features, including FMRP, FMR1 mRNA, and CGG repeat number.

This paper reports the findings of a 20-week social adjustment enhancement curriculum for boys aged 8-12. The curriculum was designed to address three areas hypothesized to be deficient in persons with HFA, AS, and PDDNOS: emotion recognition and understanding; theory of mind; and executive functions/real life type problem solving. Parents attended a semi-structured concurrent psychoeducational training meeting during children's sessions. Statistically significant improvements in facial expression recognition, and problem solving were reported for intervention group children compared to waiting list control group children. For the intervention group (the only group for whom data were available), older and less cognitively able boy's scores on a depression inventory decreased significantly more than younger children's. Mother's depression scores tended to decrease and there were significant reductions in child problem behaviors reported. Results are discussed in the context of individual differences in participant cognitive levels and profiles, symptom severity, and affect-related variables.

This article reviews evidence-based criteria that can guide practitioners in the selection, use, and interpretation of assessment tools for autism spectrum disorders (ASD). As Mash and Hunsley (2005)

SUMMAR Y This study compared parent-reported sleep characteristics in 2-to 5-year-old children with autism spectrum disorders (ASD) to children with other developmental delays (DD) and typical development (TD years). ASD diagnosis was confirmed with Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedules (ADOS).Cognitive and adaptive functioning was assessed using Mullen Scales of Early Learning (MSEL) and Vineland Adaptive Behavior Scales (VABS), respectively. Demographic, medical and sleep history information were ascertained from California birth records, telephone interview, medical assessments at clinic visit, and parent-administered questionnaires. Fifty-three percent of children with ASD had at least one frequent sleep problem, followed by 46% of children with DD, and 32% of the TD group (P < 0.0001). Exploratory factor analyses of sleep history data yielded two factors: sleep onset problems and night waking. Children with ASD had marginally higher sleep onset factor scores and significantly higher night waking factor scores compared with the TD group. Factor scores for children with DD were intermediate between the ASD and TD groups. Cognitive or adaptive development did not predict severity of sleep problems in the ASD group.

Background-The objectives of this study were to: (1) describe the longitudinal development of sleep-wake patterns of solitary-sleeping infants from 1 to 12 months of age, (2) identify effects on sleep patterns and on self-soothing behaviors of introducing a novel sleep aid, and (3) identify predictive factors of self-soothing at 12 months using a transactional model as a guide.

The somewhat higher subscale scores than previously reported for older children appear to be consistent with more sleep problems in younger children.

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