One group of neuroscientists is aiming to find all the dots in the autistic brain and connect them with a bit of help from AI.
We’ve come a long way in our understanding of autism since it was first used as a clinical description in 1943. Scientists have identified some of the genes that seem to play a role, and have developed therapies that can improve an autistic individual’s quality of life. Despite these crowning achievements, modern science has only uncovered the tip of the neurodevelopmental disorder’s iceberg.
When it comes to the neuroscience of autism, there’s been this move toward precision medicine where the disorder’s diversity could be categorized and defined based on shared symptoms, Aidas Aglinskas, neuroscientist Boston College and the new paper’s lead author, told The Daily Beast. “[Our machine learning] highlighted a large number of brain regions, a lot of which were associated with known autistic symptoms,” said Aglinskas. “So things like the areas in the brain involved in social cognition, thinking about others, motor and sensory cortices, and areas in language.”
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