1. Chee DYT, Lee HCY, Patomella AH, Falkmer T. {{Investigating the driving performance of drivers with and without autism spectrum disorders under complex driving conditions}}. {Disabil Rehabil};2017 (Aug 28):1-8.
PURPOSE: The aim of this study was to investigate the driving performance of drivers with autism spectrum disorders under complex driving conditions. METHOD: Seventeen drivers with autism spectrum disorders and 18 typically developed drivers participated in a driving simulator trial. Prior to the assessment, participants completed the Driving Behaviour Questionnaire and measurements of cognitive and visual-motor ability. The driving simulation involved driving in an urban area with dense traffic and unpredictable events. RESULTS: In comparison with the typically developed group, drivers with autism spectrum disorders reported significantly more lapses in driving, committed more mistakes on the driving simulator, and were slower to react in challenging situations, such as driving through intersections with abrupt changes in traffic lights. However, they were also less likely to tailgate other vehicles, as measured by time-to-collision between vehicles, on the driving simulator. CONCLUSIONS: The performances of licensed drivers with autism spectrum disorders appeared to be safer in respect to car-following distance but were poorer in their response to challenging traffic situations. Driver education for individuals with autism spectrum disorders should focus on quick identification of hazards, prompt execution of responses, and effective allocation of attention to reduce lapses in driving. Implications for rehabilitation Drivers with autism spectrum disorders reported significantly more lapses during driving. Drivers with autism spectrum disorders were observed to be poorer in traffic scenarios requiring critical response. Driver education for individuals with autism spectrum disorders should focus on managing anxiety and effective attention allocation while driving. Driving simulators can be used as a safe means for training critical response to challenging traffic scenarios.
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2. Kam TE, Suk HI, Lee SW. {{Multiple functional networks modeling for autism spectrum disorder diagnosis}}. {Hum Brain Mapp};2017 (Aug 28)
Despite countless studies on autism spectrum disorder (ASD), diagnosis relies on specific behavioral criteria and neuroimaging biomarkers for the disorder are still relatively scarce and irrelevant for diagnostic workup. Many researchers have focused on functional networks of brain activities using resting-state functional magnetic resonance imaging (rsfMRI) to diagnose brain diseases, including ASD. Although some existing methods are able to reveal the abnormalities in functional networks, they are either highly dependent on prior assumptions for modeling these networks or do not focus on latent functional connectivities (FCs) by considering discriminative relations among FCs in a nonlinear way. In this article, we propose a novel framework to model multiple networks of rsfMRI with data-driven approaches. Specifically, we construct large-scale functional networks with hierarchical clustering and find discriminative connectivity patterns between ASD and normal controls (NC). We then learn features and classifiers for each cluster through discriminative restricted Boltzmann machines (DRBMs). In the testing phase, each DRBM determines whether a test sample is ASD or NC, based on which we make a final decision with a majority voting strategy. We assess the diagnostic performance of the proposed method using public datasets and describe the effectiveness of our method by comparing it to competing methods. We also rigorously analyze FCs learned by DRBMs on each cluster and discover dominant FCs that play a major role in discriminating between ASD and NC. Hum Brain Mapp, 2017. (c) 2017 Wiley Periodicals, Inc.
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3. Nordahl-Hansen A, Tondevold M, Fletcher-Watson S. {{Mental health on screen: A DSM-5 dissection of portrayals of autism spectrum disorders in film and TV}}. {Psychiatry Res};2017 (Aug 23)
Portrayals of characters with autism spectrum disorders (ASD) in films and TV series are subject to intense debate over whether such representations are accurate. Inaccurate portrayals are a concern as they may lead to increased stereotypes toward the condition. We investigate whether portrayals of characters with autism spectrum disorder in film and TV-series align with DSM-5 diagnostic criteria. Our data show that characters present a full range of characteristics described in the DSM-5. The meaning of this finding is discussed in relation to potential educational value of on screen portrayals and the notion of authenticity in representing the autistic experience.
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4. Zwaigenbaum L. {{Response to name may enhance autism spectrum disorder screening}}. {J Pediatr};2017 (Sep);188:308-311.
