Autism may not be a spectrum but may be better understood as several interrelated spectra, suggests a new Stony Brook University-led study.
According to the lead researchers – Stony Brook University Professor Matthew Lerner and graduate student Hyunsik Kim – their findings may have vast implications with the way professionals classify autism and better understand and map the array of experiences of autistic people.
The study, published in the Journal of the American Academy of Child and Adolescent Psychiatry, compared two large independent samples of children and adolescents totaling about 6,000 people with and without diagnosed autism.
Kim explained that the results indicate autism combines of three related domains of atypical behavior – social interaction difficulties, interpersonal communications difficulties, and repetitive or restrictive thoughts or actions. And each of these domains can range in severity from very mild to severe.
“All of this suggests autism is not best understood as an all-or-nothing diagnosis, nor a single spectrum, but rather related spectra of behavioral traits across a population.”
The research is supported in part by grants from the National Institute of Mental Health and the Simons Foundation Autism Research Initiative.
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