Parent-child agreement using the Spence Children's Anxiety Scale and a thermometer in children with autism spectrum disorder

Children with Autism Spectrum Disorder (ASD) experience high anxiety which often prompts clinical referral and requires intervention. This study aimed to compare parent and child reports on the Spence Children's Anxiety Scale (SCAS) and a child-reported "worry thermometer" in 88 children aged 8-13 years, 44 with ASD and 44 age, gender, and perceptual IQ matched typically developing children. There were no gender differences in child report on the SCAS and worry thermometers. Results indicated generally good correlations between parent and child self-reported SCAS symptoms for typically developing children but poor agreement in parent-child ASD dyads. The worry thermometer child-report did not reflect child or parent reports on the SCAS. Findings suggest 8-13-year-old children with ASD may have difficulties accurately reporting their anxiety levels. The clinical implications were discussed.

JLMC: A clustering method based on Jordan-Form of Laplacian-Matrix

Among the current clustering algorithms of complex networks, Laplacian-based spectral clustering algorithms have the advantage of rigorous mathematical basis and high accuracy. However, their applications are limited due to their dependence on prior knowledge, such as the number of clusters. For most of application scenarios, it is hard to obtain the number of clusters beforehand. To address this problem, we propose a novel clustering algorithm - Jordan-Form of Laplacian-Matrix based Clustering algorithm (JLMC). In JLMC, we propose a model to calculate the number (n) of clusters in a complex network based on the Jordan-Form of its corresponding Laplacian matrix. JLMC clusters the network into n clusters by using our proposed modularity density function (P function). We conduct extensive experiments over real and synthetic data, and the experimental results reveal that JLMC can accurately obtain the number of clusters in a complex network, and outperforms Fast-Newman algorithm and Girvan-Newman algorithm in terms of clustering accuracy and time complexity.

Diffusion tensor imaging reveals no white matter impairments among adults with autism spectrum disorder

Abnormalities within white matter (WM) have been identified in autism spectrum disorder (ASD). Although there is some support for greater neurobiological deficits among females with ASD, there is little research investigating sex differences in WM in ASD. We used diffusion tensor imaging (DTI) to investigate WM aberration in 25 adults with high-functioning ASD and 24 age-, sex- and IQ-matched controls. Tract-based spatial statistics (TBSS) was used to explore differences in WM in major tract bundles. The effects of biological sex were also investigated. TBSS revealed no differences in fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), or axial diffusivity (AD) between groups. There were no effects of biological sex. We consider whether methodological differences between past studies have contributed to the highly heterogeneous findings in the literature. Finally, we suggest that, among a high-functioning sample of adults with ASD, differences in WM microstructure may not be related to clinical impairment.

Virtual worlds for people with autism spectrum disorder: a case study in Second Life

PURPOSE: The purpose of this study is to explore the use of virtual worlds by people with autism spectrum disorder (ASD), with a particular focus on the virtual world Second Life™. METHOD: Case study methodology was selected to explore the experiences of Wolf, a participant with ASD, in Second Life. Wolf participated in three in-depth interviews. The interviews were analyzed using a content analysis to identify themes and sub-themes. RESULTS: Analysis identified four main themes: social factors and communication, empowerment, virtual world versus physical world, and social cues and body language. CONCLUSION: Anecdotally Wolf's experiences suggest that people with ASD enjoy using a virtual world and may feel more comfortable communicating in the virtual world context than the physical world. Virtual worlds offer a venue for people with ASD to be a part of a virtual society, lowers communication barriers experienced in the physical world, and gives the participant a unique opportunity to create and maintain friendships. Virtual worlds offer an arena for people with ASD to meet their peers on equal terms, not being dependent on social cues, which in the physical world can be a barrier for communication for this group. Further research in this area is required. Implications for Rehabiliation People with autism spectrum disorder enjoy using a virtual world and may feel more comfortable communicating in the virtual world context than the physical world. Virtual worlds offer a venue for people with autism spectrum disorder to be a part of a virtual society. Virtual worlds offer an arena for people with autism spectrum disorder to meet their peers on equal terms, not being dependent on social cues, which in the physical world can be a barrier for this group.