Daniel Tammet has memorized Pi to the 22,514th digit. He speaks ten different languages, including one of his own invention, and he can multiply enormous sums in his head within a matter of seconds.
About one in 68 children in the U.S. is diagnosed with autism, according to the latest U.S. Centers for Disease Control and Prevention data
CHD8, a gene that regulates the structure of DNA, is the closest thing so far to an “autism gene”
Babies whose moms lived within a mile of crops treated with widely used pesticides were more likely to develop autism, according to new research
Reprinted with permission from SFARI.org, an editorially independent division of the Simons Foundation. (Find original story here.) The autism described in The Reason I Jump is quite different from the mostly social disorder that I, as a researcher and clinician, find in textbooks and journal articles.
I am so pleased to announce that renowned animal scientist and autism expert, Temple Grandin, and her co-author of her latest book, “The Autistic Brain: Thinking Across the Spectrum“, Richard Panek, will be our guests on another collaborative Scientific American/Read Science!
People with autism tend to integrate auditory and visual information over longer windows of time
Risperidone, the first drug approved for children with autism and the most widely used, improves some behavior but can have severe side effects such as sleepiness and weight gain
Infants who can quickly recognize unusual visual patterns may be more likely to develop autism symptoms
“There is only one difference between a madman and me. I am not mad.” —Salvador Dali The romantic notion that mental illness and creativity are linked is so prominent in the public consciousness that it is rarely challenged. So before I continue, let me nip this in the bud: Mental illness is neither necessary nor sufficient for creativity.
Whenever one examines any area of scientific inquiry, there are two important things to understand: where the science is today, and where it may lead us in the future.
Two new studies demonstrate the promise and pitfalls of the industrial-scale gene-processing technologies that define the meaning of the much-ballyhooed Big Data.