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  • Can adult ASD outcomes be predicted by clinical measures made during childhood?

    A new study has retrospectively profiled the adult outcomes of 123 children with autism spectrum disorder (ASD) to determine whether certain outcomes, or “types”, can be predicted from typical clinical measures made during childhood.

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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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  • European experts develop a new framework to screen early ASD

    Early detection of Autism Spectrum Disorder (ASD) can improve outcomes for children, yet the effectiveness and validity of universal screening methods has been questioned. Now, researchers have created a new framework to generate a valid early ASD screening method using a novel approach based on “face and content validity”.

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  • The challenge: Getting research interventions into community where they are needed

    This article is a summary of the paper published in JCPP – Hybrid implementation model of community‐partnered early intervention for toddlers with autism: a randomized trial.

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  • Early ASD intervention promotes academic achievement

    Rigorous screening for learning difficulties is required for adolescents with Autism Spectrum Disorder (ASD), as a significant minority of affected individuals with average cognitive skills show academic delays, according to a new study.

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  • Compensating for ASD: masking the truth?

    “Compensation” is a phenomenon by which individuals with Autism Spectrum Disorder (ASD) show improvements in overt symptoms, namely their understanding of others (“theory-of-mind”, ToM), despite persisting deficits at the cognitive and neurobiological levels.

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  • Can transdiagnostic CBT improve outcomes in children with ASD?

    Transdiagnostic interventions apply the same underlying treatment principles across mental disorders, research in relation to ASD

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  • Identifying imaging biomarkers in the neonatal brain

    The past decade has seen great improvements in magnetic resonance imaging technologies, such that it is now possible to image the developing brain in utero. In 2018, Dafnis Batalle and colleagues compiled an Annual Research Review for the Journal of Child Psychology and Psychiatry, where they evaluated the current status of neuroimaging research in neonates and paediatrics to determine the origins of neuropsychiatric and neurodevelopmental disorders.

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  • What does a CAMHS MDT need to know about the genetics of psychiatric disorder?

    Our knowledge of the genetics of psychiatric disorders has increased rapidly in recent years. Discover what has been learnt, focusing on some of the psychiatric disorders commonly seen in CAMHS, before going on to discuss how these findings may be relevant to clinical practice.

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  • Language stability in primary school-aged children hinders catch up for those with language disorders

    In 2017, the Journal of Clinical Psychology and Psychiatry published the latest results of the Surrey Communication and Language in Education Study (SCALES), in which Courtenay Frazier Norbury and colleagues investigated language growth and stability in a population cohort of children with varying degrees of verbal and nonverbal cognitive abilities and a wide range of additional diagnoses.

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