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Research

Parent-Child Interactions May Help to Explain Relations Between Parent Characteristics and Clinically Observed Child Autistic Behaviours

The importance of supporting parent-child interactions has been noted in the context of prodromal autism, but little consideration has been given to the possible contributing role of parental characteristics, such as psychological distress. This cross-sectional study tested models in which parent-child interaction variables mediated relations between parent characteristics and child autistic behaviour in a sample of families whose infant demonstrated early signs of autism.

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Characterising the Early Presentation of Motor Difficulties in Autistic Children

This study aimed to explore the rates of motor difficulties in children from the Australian Autism Biobank, and how early motor concerns impacted on children functionally.

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Evaluation of Low-intensity Therapist-Delivered Intervention in Addition to Parent Coaching for Young Children with Autism Spectrum Disorder

Parents are often expected to be the primary implementers of intervention for their young children with autism spectrum disorder (ASD). The provision of a few hours a week of intervention by a trained therapist, in addition to parent-implemented intervention, could increase child outcomes compared to parent-implemented intervention in isolation.

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Modelling quality of life in children with intellectual disability using regression trees

To identify factors associated with quality of life (QoL) in children with intellectual disability. We aimed to identify patterns of association not observable in previous hypothesis-driven regression modelling using the same data set from a cross-sectional observational study.

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Vitamin D is crucial for maternal care and offspring social behaviour in rats

These data highlight that early life levels of vitamin D are an important consideration for maternal behavioural adaptations as well as offspring neuropsychiatry

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Apgar score and risk of autism

This study suggests that low Apgar score is associated with higher risk of autism spectrum disorder, and in particular autistic disorder

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Cytokine levels and associations with symptom severity in male and female children with autism spectrum disorder

ASD's are complex, pervasive and heterogeneous neurodevelopmental conditions with varying conditions, trajectories, significant male bias and unknown etiology.

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Characterizing Transdiagnostic Processes Underlying the Drive to Socially Engage: A Multimeasurement Factor Analytic Investigation

Altered drive to socially engage is a transdiagnostic feature across multiple psychopathologies. Yet, lack of clarity regarding specific processes that constitute social drive, along with insufficient measurement methods, has hindered understanding in this area. This study ascertained the feasibility of approximating difficulties within specific fine-grained social drive processes as proposed by 2 theoretical frameworks: “orienting,” “wanting,” “pursuing,” “liking,” “learning,” and “reticence” within a reward processing framework and “orienting,” “seeking and maintaining,” and “liking” within a social motivation framework.

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Evaluation of the Acceptability and Feasibility of the Social Attention and Communication Surveillance-Revised (SACS-R) Tool for Early Identification of Autism in Preterm Infants

Preterm birth is associated with a 3.3-fold increased likelihood of autism diagnosis, with lower gestational age conferring higher likelihood. In Australia, autism is typically diagnosed at around age four, potentially missing the optimal neuroplasticity window before age two. The Social Attention and Communication Surveillance-Revised (SACS-R) tool identifies early autism signs in children aged 11-30 months, enabling pre-emptive intervention.

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Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.