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Showing results for "autism"
Researchers at The Kids Research Institute Australia have pushed back against claims by US President Donald Trump linking paracetamol use during pregnancy to autism.
A co-designed digital tool to address anxiety concerns for children on the autism spectrum is set to be developed and trialled in Western Australia.
Early motor impairments have been reported in children with neurodevelopmental disorders (NDD), but it is not clear if early detection of motor impairments can identify children at risk for NDD or how early such impairments might be detected. Our aim was to characterize early motor function in children later diagnosed with NDD relative to typically developing children or normative data.
Little is known about parent preferences regarding delivery methods of early interventions. This research examined, through parent report, the current and preferred delivery methods of seven common educational early interventions accessed by New Zealand children with autism spectrum disorder.
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.
This study aimed to identify guiding principles to underpin assessment and diagnosis of autism to improve the quality, consistency and accuracy of services provided to individuals and their families. An online survey and focus groups were used to capture community perspectives of members of the Australian autistic and autism communities.
Andrew Videos Whitehouse Watch and listen to Andrew PhD Deputy Director (Research); Angela Wright Bennett Professor of Autism Research at The Kids
The broadening of the clinical definition of autism over time-the so-called, autism spectrum-has run in parallel with the growth of a neurodiversity movement that has reframed the concept of autism entirely. Without a coherent and evidence-based framework through which both of these advances can be situated, the field is at risk of losing definition altogether.
Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.
Rates of diagnosis of autism have risen since 1980, raising the question of whether some children who previously had other diagnoses are now being diagnosed...