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Professor Andrew Whitehouse tells how Australia’s first national guideline for the diagnosis of autism spectrum disorder is going to transform the way the condition is assessed and managed, vastly improving the experience for families.
Gail Andrew Videos Alvares Whitehouse Watch and listen to Andrew PhD PhD Principal Research Fellow Deputy Director (Research); Angela Wright Bennett
Andrew Gail Videos Whitehouse Watch and listen to Andrew Alvares PhD PhD Deputy Director (Research); Angela Wright Bennett Professor of Autism
Investigators: Prof Andrew Whitehouse, Prof David Trembath Project description This project involves developing a national practice guideline for
Melissa Andrew Gail Jenny Videos Licari Whitehouse Watch and listen to Andrew Alvares Downs PhD PhD PhD BApplSci (physio) MSc PhD Senior Research
Andrew Videos Whitehouse Watch and listen to Andrew PhD Deputy Director (Research); Angela Wright Bennett Professor of Autism Research at The Kids
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.
Alexithymia—a trait characterized by difficulties in emotion processing—is of high interest in the autism field. However, the lack of validated alexithymia measures for autistic individuals limits progress. This study aimed to address this gap by examining the psychometric properties of the Perth Alexithymia Questionnaire (PAQ) across autistic and non-autistic samples. Using the PAQ, we investigated how alexithymia manifests in autistic individuals and its links with poor mental health outcomes (anxiety).
Autism spectrum disorder (ASD), a neurodevelopmental condition characterised by social and communication differences, is complex and aetiologically heterogeneous. Untargeted metabolomics is emerging as a tool in screening for biochemical abnormalities. This research was conducted using the Australian Autism Biobank resource and involved analysis of plasma metabolites to characterise metabolite differences between autistic children and controls.
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.