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Query: UMLS:C0004352 (autism)
32,579 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Exploratory factor analysis (varimax and promax rotations) of the aberrant behavior checklist-community version (ABC) in 275 individuals with Autism spectrum disorder (ASD) identified four- and five-factor solutions which accounted for >70% of the variance. Confirmatory factor analysis (Lisrel 8.7) revealed indices of moderate fit for the five-factor solution. Our results suggest that the factor structure of the ABC is robust within an ASD sample. Both solutions yielded a three items self-injury factor. Stratifying on this factor, we identified significant differences between the high- and low-self injury groups on ABC subscales. The emergence of a self-injury factor, while not suggestive of a new subscale, warrants further exploration as a tool that could help dissect relevant neurobiobehavioral groups in ASD.
J Autism Dev Disord 2007 Nov
PMID:Factor analysis of the aberrant behavior checklist in individuals with autism spectrum disorders. 1718 68

Restricted and repetitive behaviors (RRBs) on the Autism Diagnostic Interview- Revised (ADI-R: Lord, Rutter, & Le Couteur (1994) were examined in 165 children with Autism Spectrum Disorders (ASD), 49 children with non-spectrum developmental disorders (DD), and 65 children with typical development (TD) at approximately 2 years of age. A factor analysis found evidence for a repetitive sensorimotor (RSM) factor and an insistence on sameness (IS) factor. Behaviors that loaded on the RSM factor were prevalent in children with ASD and significantly more common and severe than in children with DD or TD. On average, children with ASD had more RSM behaviors. Behaviors that loaded on the IS factor were relatively uncommon and did not differ in prevalence or severity across groups.
J Autism Dev Disord 2007 Jan
PMID:Restricted and repetitive behaviors in young children with autism spectrum disorders. 1719 20

Symptoms of Autism Spectrum Disorders (ASD) begin to manifest during the first 2 years; there is limited evidence regarding type and timing of symptom onset. We examined factors related to parental age of recognition (AOR) of early abnormalities and the association between AOR and diagnosis and levels of functioning at 2 and 4 years in 75 toddlers with ASD. Results suggest significant differences between autism and PDD-NOS in the AOR and type of first concerns. Early social and motor delays as well as maternal age was associated with AOR. Later AOR was associated with poorer social-communicative and nonverbal cognitive functioning at 2 and 4. The findings are discussed in a context of identifying distinct developmental trajectories within the autism spectrum.
J Autism Dev Disord 2007 Jan
PMID:Parental recognition of developmental problems in toddlers with autism spectrum disorders. 1719 21

Autism spectrum disorder (ASD) (i.e., autism and Asperger syndrome) is a neurodevelopmental disorder, although its etiology is still unclear. Neuroimaging studies have attempted to identify the neurobiological basis of ASD. This article reviews recent progress in ASD research using magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT), and positron emission tomography (PET). MRI studies documented structural and functional abnormalities in cerebella, the frontal lobes, the temporal lobes, and limbic systems of individuals with ASD. SPECT and PET studies suggested that abnormalities of the serotonergic system, in addition to decreased regional cerebral blood flow in the frontal and temporal lobes, are implicated in the pathophysiology of ASD.
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PMID:[Advances in neuroimaging research on Asperger syndrome]. 1735 56

Autism spectrum disorders (ASDs) are complex, lifelong, neurodevelopmental conditions of largely unknown cause. They are much more common than previously believed, second in frequency only to mental retardation among the serious developmental disorders. Although a heritable component has been demonstrated in ASD etiology, putative risk genes have yet to be identified. Environmental risk factors may also play a role, perhaps via complex gene-environment interactions, but no specific exposures with significant population effects are known. A number of endogenous biomarkers associated with autism risk have been investigated, and these may help identify significant biologic pathways that, in turn, will aid in the discovery of specific genes and exposures. Future epidemiologic research should focus on expanding population-based descriptive data on ASDs, exploring candidate risk factors in large well-designed studies incorporating both genetic and environmental exposure data and addressing possible etiologic heterogeneity in studies that can stratify case groups and consider alternate endophenotypes.
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PMID:The epidemiology of autism spectrum disorders. 1736 87

The Prader-Willi phenotype (PWP) of fragile X syndrome (FXS) is associated with obesity and hyperphagia similar to Prader-Willi syndrome (PWS), but without cytogenetic or methylation abnormalities at 15q11-13. Thirteen cases of PWP and FXS are reported here that were identified by obesity and hyperphagia. Delayed puberty was seen in 5 of 9 cases who had entered puberty, a small penis or testicles in seven of 13 cases, and infant hypotonia and/or a poor suck in seven of 13 cases. Autism spectrum disorder occurred in 10 of 13 cases, and autism was diagnosed in seven of 13 cases. We investigated cytoplasmic interacting FMR1 protein (CYFIP) expression, which is a protein that interacts with FMR1 protein (FMRP) because the gene for CYFIP is located at 15q11-13. CYFIP mRNA levels were significantly reduced in our patients with the PWP and FXS compared to individuals without FXS (p < .001) and also individuals with FXS without PWP (p = .03).
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PMID:The Prader-Willi phenotype of fragile X syndrome. 1743 64

The Autism-Spectrum Quotient (AQ) children's version has confirmed reliability and validity in the UK. In the current study, the children's AQ was administered in Japan to investigate whether the UK results are found in a very different culture. Two groups of children from primary and secondary schools were assessed: Group 1 (n = 81) children with Autism Spectrum Disorders (ASD, including Asperger Syndrome and high-functioning autism); Group 2 (n = 372) randomly selected controls, age-matched with Group 1. The children with ASD had a mean AQ score of 31.9 (SD = 6.69), which was significantly higher than controls (mean AQ = 11.7, SD = 5.94). Males scored significantly higher than females in the control group, but not in the ASD group. The pattern of difference between the Japanese clinical group and the control group was remarkably similar to the findings in the UK.
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PMID:[Autism-spectrum quotient (AQ) Japanese children's version " comparison between high-functioning children with autism spectrum disorders and normal controls]. 1744 62

Autism Spectrum Disorders (ASD) are lifelong neurodevelopmental disabilities. Burden of Disease is an indicator that provides important information on health status and outcomes such as premature mortality and disability. In order to estimate the burden of disease of ASD in the Spanish population during 2003, we followed the procedures used in the WHO Global Burden of Disease Study. ASD generated 43,928 Disability Adjusted Life Years (DALY) in Spain in 2003, from which 33,797 were attributable to Autistic Disorder and 10,131 were caused by Asperger's Disorder and Pervasive Developmental Disorder-Not Otherwise Specified. DALY could be a useful tool for health policy makers for setting health service priorities, allocating available resources effectively and providing a comparable measure of output for early intervention.
J Autism Dev Disord 2008 Feb
PMID:Estimating the burden of disease for autism spectrum disorders in Spain in 2003. 1754 89

Individuals with Autism Spectrum Disorders (ASD) have been found to have impairments in some face recognition tasks [e.g., Boucher, J., & Lewis, V. (1992). Unfamiliar face recognition in relatively able autistic children. Journal of Child Psychology and Psychiatry, 33, 843-859.], and it has been suggested that this impairment occurs because these individuals do not spontaneously attend to the eyes [e.g., Pelphrey, K. A., Sasson, N. J., Reznick, J. S., Paul, G., Goldman, B. D., & Piven, J. (2002). Visual scanning of faces in autism. Journal of Autism and Developmental Disorders, 32, 249-261.], or attend selectively to the mouth [e.g., Langdell, T. (1978). Recognition of faces-approach to study of autism. Journal of Child Psychology and Psychiatry and Allied Disciplines, 19, 255-268; Joseph, R. M., & Tanaka J. (2003). Holistic and part-based face recognition in children with autism. Journal of Child Psychology and Psychiatry, 44, 529-542.]. Here, we test whether the eyes or the mouth are attended to preferentially by 16 males with ASD and 19 matched controls. Participants discriminated small spatial displacements of the eyes and the mouth. If the mouth region were attended to preferentially by individuals with ASD, we would expect ASD observers to be better at detecting subtle changes in mouth than eye displacements, relative to controls. Further, following Barton [Barton, J. J. S., Keenan, J. P., & Bass, T. (2001). Discrimination of spatial relations and features in faces: Effects of inversion and viewing duration. British Journal of Psychology, 92, 527-549.], we would expect to see differences in inversion effects as a function of feature manipulation between ASD and control groups. We found that individuals with ASD performed significantly differently than controls for the eye, but not the mouth, trials. However, we found no difference in inversion effects between the two groups of observers. Furthermore, we found evidence of distinct subclasses of individuals with ASD: those who performed normally, and those who were impaired. These results suggests that typical individuals are better able to make use of information in the eyes than some individuals with ASD, but that there is no clear autism "advantage" in the use of information in the mouth region.
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PMID:Differences in discrimination of eye and mouth displacement in autism spectrum disorders. 1755 5

Behavior checklists are often utilized to screen for Autism Spectrum Disorders (ASDs) when comprehensive evaluations are unfeasible. The usefulness of two behavioral checklists, the Gilliam Autism Rating Scale (GARS) and Child Behavior Checklist (CBCL), in identifying ASDs was investigated among 109 children with Autism, 32 children with ASD, and 51 Non-Spectrum children based on Autism Diagnostic Observation Schedule-Generic classifications. The GARS did not distinguish children with ASDs from those without. The Withdrawn and Pervasive Developmental Problems subscales of the CBCL were higher among children with Autism than among Non-Spectrum children. These CBCL subscales also had better sensitivity and specificity in identifying children with Autism than the GARS. Results suggest that the CBCL is a useful behavioral checklist for screening ASDs.
J Autism Dev Disord 2008 Mar
PMID:Does parent report of behavior differ across ADOS-G classifications: analysis of scores from the CBCL and GARS. 1761 31


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