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Showing results for "clinical trials"
To establish the burden of respiratory illness in cerebral palsy (CP) on the Western Australian health care system by quantifying the costs of respiratory hospitalizations in children with CP, compared with non-respiratory hospitalizations.
Autism spectrum disorders are complex, with a strong genetic basis. Genetic research in autism spectrum disorders is limited by the fact that these disorders are largely heterogeneous so that patients are variable in their clinical presentations. To address this limitation, we investigated the genetics of individual dimensions of the autism spectrum disorder phenotypes, or autistic-like traits. These autistic-like traits are continuous variations in autistic behaviours that occur in the general population.
Recent research highlights an overlap of gender diversity and autism spectrum disorders (ASD); however, data on individuals who are trans and also on the autism spectrum are largely from clinical samples and may not be representative of individuals who are trans with ASD in the general population. In addition, there is scant literature on the mental health of these individuals and their experiences in accessing gender-affirming care.
These data suggest that empathy for pain is disrupted at the neurophysiological level in schizophrenia
Some studies suggest an association between early exposure to anesthesia, surgery and long term developmental deficit, clinical phenotype of children is unknown
The MACROD2 gene is a strong positional candidate risk factor for autistic-like traits in the general population
MECP2 duplication syndrome is a rare disorder neurodevelopmental disorder that, unlike Rett syndrome, mostly affects boys.
Introducing the Rio Tinto Children's Diabetes Centre: A JDRF Global Centre of Excellence
Thyroid hormones affect neurological development and function, but detailed studies of thyroid hormones and metabolites in autism are lacking. The objective was t characterize thyroid function and metabolism in autistic children.
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.