Skip to content
The Kids Research Institute Australia logo
Donate

Search

Showing results for "autism"

Neuroaffirming language

The language we use shifts over time and the words we use are important. At CliniKids, we are committed to using language that is neuroaffirming and preferred by the autistic community.

The Kids Research Institute Australia researcher a finalist for 2017 Eureka Prize

Autism researcher, Professor Andrew Whitehouse from The Kids has been named a finalist in the Eureka Prize for Emerging Leader in Science

Diagnosis and the ADOS: The essentials parents and clinicians need to know

In this blog, you can read about one of the most common tools used in the autism diagnostic process – the Autism Diagnostic Observation Schedule.

Sex-specific white matter alterations in children exposed to high pregestational BMI

This study investigated whether exposure to high pregestational BMI (≥ 25 kg/m2) is associated with alterations in white matter microstructure in early childhood, explored sex-specific effects, and examined associations with cognitive performance.

Developmental Mismatch Across Brain Modalities in Young Children

Brain development during the preschool period is complex and extensive and underlies ongoing behavioral and cognitive maturation. Increasing understanding of typical brain maturation during this time is critical to early identification of atypical development and could inform treatments and interventions.

Publications

Our researchers have published many papers in world-leading paediatric autism and developmental delay journals. Browse their most recently published work here.

The Kids Research Institute Australia researcher awarded prestigious Eureka award

Professor Andrew Whitehouse awarded the most prestigious award in the country for young researchers – the 3M Eureka Prize for Emerging Leader in Science.

Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes

We performed a genome-wide association meta-analysis of 290,134 attention-deficit/hyperactivity disorder symptom measures of 70,953 unique individuals from multiple raters, ages and instruments. 

Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methods

A problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling challenging.