Wednesday, December 18th, 2013
Two themes stand out when I reflect on autism research in 2013.
First, there was substantial debate about how we diagnose autism, primarily spurred by changes introduced in DSM-5 (which was published in May). The reformulation of the diagnostic criteria – which led to a discontinuation of the category of Asperger Syndrome in favor of a broad-based category of Autism Spectrum Disorder (ASD) – spurred concerns that many youth would no longer qualify for a diagnosis and hence have their intervention options limited. Others suggested that more precise diagnostic criteria are needed to ensure that ASD does not get overdiagnosed. While we await empirical resolution via publication of well-designed studies, it’s clear that the DSM-5 debate will stand out as an important time in which we wrestled (again) with the best way to be inclusive in diagnosis without expanding diagnostic criteria too broadly.
Second, we are seeing more research on the early diagnosis of ASD, or at least detection of early warning signs, using methods like tracking eye movements of babies when looking at a human face. While this line of work will need to continue to refine the validity and feasibility of the approach – particularly when studying infants – it is an intriguing approach that may eventually have important implications for delivering interventions in the first year of life. Given the proven utility of early intervention, the hope is that the earliest interventions may hold the most promise for promoting development.
Wherever these research directions take us, we know for sure that early detection and intervention is essential. That’s one message that has not changed in 2013.Add a Comment