Connie Kasari is professor of human development and psychology at the University of California, Los Angeles. She is the principal investigator for several multi-site research programs and a founding member of the university’s Center for Autism Research and Treatment.
Connie Kasari
From this contributor
How much behavioral therapy does an autistic child need?
People tend to believe that, regardless of the treatment, more is always better. But is it?
How much behavioral therapy does an autistic child need?
Learning when to treat repetitive behaviors in autism
Some restricted and repetitive behaviors may have hidden benefits for people with autism, so scientists should work to find a happy medium between acceptance and change.
Learning when to treat repetitive behaviors in autism
School’s in
School-based interventions are arguably the best way to reach the truly underserved, under-represented and under-resourced children with autism, says Connie Kasari.
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Role of maternal factors in autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 November.
Role of maternal factors in autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 November.
Neurophysiology data-sharing system faces funding cliff
After the primary grant supporting Neurodata Without Borders ends in March 2026, the platform may no longer be maintained or kept up to date.
Neurophysiology data-sharing system faces funding cliff
After the primary grant supporting Neurodata Without Borders ends in March 2026, the platform may no longer be maintained or kept up to date.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.