New research from the University of Missouri has found that an AI tool could be helpful in more efficiently diagnosing and ...

It is a central question in neuroscience to understand how different regions of the brain interact, how strongly they "talk" ...

The US government is approving the drug leucovorin to address rising rates of autism, despite limited evidence that it works.

For many years, autism has been identified as a spectrum with differing levels of ability. New research suggests that the age ...

A sketch of the whole methodology for the continuous monitoring of the organoid synaptic activity through the analysis of neural activity from hFOs using MEA and a GDN model. Neural signals are ...

Abstract: Machine learning methods have been extensively employed in the diagnosis of autism spectrum disorder to comprehend the neurophysiological underpinnings. Meanwhile, resting-state functional ...

Abstract: Gait analysis is an important technique for diagnosing, monitoring and rehabilitating neurological conditions such as Autism Spectrum Disorder, also known as ASD. With the increasing ...

Autism diagnosed in early childhood differs genetically and developmentally from autism identified later in an individual’s development, challenging the notion that it is a single, uniform disorder, ...

People who learn they have autism after age 6 — the current median age at diagnosis — are often described as having a “milder” form of autism than people diagnosed as toddlers. A new study challenges ...

Families of people with severe autism say the repeated expansion of the diagnosis pushed them to the sidelines. A new focus on the disorder has opened the way for them to argue their cause. Jodie ...