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Research
Elizabeth Usher Memorial Lecture: Rethinking the clinical pathway for autism spectrum disorder and challenging the status quoThe aim of the paper is to outline the future of early identification and intervention of ASD and the research goals to be addressed to achieve this vision.
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A pilot evaluation of school-based LEGO robotics therapy for autistic studentsThere is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skills. LEGO® robotics therapy - which uses the principles of LEGO® therapy applied to LEGO® robotics - may be an age-appropriate intervention to reduce anxiety and increase social skills in autistic adolescents.
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Developmental Mismatch Across Brain Modalities in Young ChildrenBrain development during the preschool period is complex and extensive and underlies ongoing behavioral and cognitive maturation. Increasing understanding of typical brain maturation during this time is critical to early identification of atypical development and could inform treatments and interventions.
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Gaps in Current Autism Research: The Thoughts of the Autism Research Editorial Board and Associate EditorsMini‐commentaries on what they considered to be the current gaps in research on autism spectrum disorder
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Motor impairments in children: More than just the clumsy childDevelopmental co-ordination disorder is a motor skill disorder that affects an estimated 5-6% of children but lacks recognition and understanding, leading to under-diagnosis
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Content validation of the Quality of Life Inventory—DisabilitySatisfactory content validity is reported, where ongoing consumer feedback shaped the dataset from which the final items were selected
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An assessment of computer-generated stimuli for use in studies of body size estimation and biasOur results show that perception of body size for computer-generated stimuli was non-linear
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Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniquesThe current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood
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Are UHR patients who present with hallucinations alone at lower risk of transition to psychosis?Hallucinations alone at baseline were not significantly associated with a reduced risk of transition to psychosis.
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A Prospective Ultrasound Study of Prenatal Growth in Infant Siblings of Children With AutismIdentified no significant differences between the high- and low-risk fetuses in the rate of prenatal head and body growth throughout the 2nd and 3rd-trimester