Experts say brain scans from autistic children and adults are revealing a link between the condition and autism.
The brain scans are being released as part of a larger study on autism, which researchers hope will shed light on the disorder.
The study, which is being funded by the National Institute of Mental Health, is being conducted at the University of Maryland Medical Center and will be published this week.
It will include scans of the brains of children and young adults diagnosed with autism spectrum and will compare those brains to brains of those who are not on the autism spectrum.
The researchers hope that their research will help researchers to develop treatments for autism spectrum conditions.
The findings are based on a new technique that measures the electrical activity of neurons in the brain and the electrical signals they send to each other.
This means the researchers can look at how a neuron changes with age and how those changes influence a child’s behavior and behavior-related symptoms.
“It’s an exciting time,” said Dr. Daniel Gellert, the study’s lead author.
“We’re starting to learn about how autism develops, how the brain processes information, how we can identify the causes of autism.”
The study found that those who were diagnosed with a spectrum disorder were more likely to develop autism spectrum symptoms, including repetitive behaviors, repetitive thoughts, poor social interaction and a tendency to be withdrawn, according to the study.
The results were similar for those who did not have a spectrum diagnosis.
Dr. James N. Huggins, a professor of neurology at the Massachusetts General Hospital and an autism expert, said that the study will be a key step toward finding treatments for people with autism.
Natalie Burdette, a University of Michigan neuroscientist, said in a statement that the results of the study “provide the first definitive evidence that a developmental disorder with autism symptoms is caused by an abnormality in the activity of the brain’s neural network.”
“This is a very important first step in identifying potential treatments for individuals with autism, and we hope that other scientists will use this data to better understand the underlying causes of these complex disorders,” she said.
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