Autism
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December 2019 The Bridge Editorial
It has been 2 years since The Bridge was relaunched in its current form. Each monthly themed edition publishes summaries of selected papers from the ACAMH journals – JCPP and CAMH – and occasionally features guest research digests. Over the past two years we have covered a huge range of topics and published over 170 research summaries and counting.
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عدم تحمل المجهول يكمن وراء سلوك تجنب مطالب الاخرين عند الاطفال
Researchers in Newcastle have conducted one of the first studies to conceptualise and understand the behavioural features of the pathological demand avoidance (PDA) profile — a proposed subtype of autism spectrum disorder (ASD) — in children and young people.
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تتنبأ صلة القرابة بين الوالدين بشدة اضطراب طيف التوحد
Parental consanguinity could predict ASD severity in this study after controlling for the effects of maternal health and developmental indicators.
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Connecting the senses: an area of difficulty in infants later diagnosed with autism?
Autism Spectrum Disorder, or autism for short, can be diagnosed from around 2-3 years in most cases (although in practice, it is often done much later – for various reasons). It is a neurodevelopmental condition, meaning that in order to understand it we need to understand the underlying developmental processes, in both brain and behaviour.
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Dysregulation profile risk may be identified in infancy
The “dysregulation profile” (DP) describes a child psychopathology construct that measures broad-based, generalised emotional and behavioural dysregulation using the Child Behaviour Checklist
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Children with ASD at heightened risk for maltreatment
A study conducted by researchers at the University of South Carolina is the first to provide empirical evidence from population-level data that maltreatment is elevated in children with autism spectrum disorder (ASD) relative to the general population.
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Children with ASD show intact statistical word learning
Children with autism spectrum disorder (ASD) and specific language impairment (SLI) exhibit word-learning difficulties early in childhood development.
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Machine learning improves ADI-R efficiency
Early interventions in autism spectrum disorder (ASD) are essential to improve communication and behavioural skills in affected children. Now, researchers have used machine learning to derive new instrument algorithms that may help practitioners screen for autism more efficiently and effectively.
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iPad App complements ASD therapy
Children with autism spectrum condition (ASC) may benefit from combined technology-based and traditional interventions, according to new research.
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The SAAND Study: Attention and arousal regulation in neurodevelopmental disorders
The SAAND Study – An investigation into the role of attention and arousal regulation in ADHD and ASD, and comorbidity between these disorders
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