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Research finds neurons look different in children with autism

Wednesday, October 9, 2024

Neuronal measurements may provide new insight into diagnosis & therapeutic interventions for autism

There is new evidence that the cells responsible for communication in the brain may be structured differently in children with autism. Researchers at the Del Monte Institute for Neuroscience at the University of Rochester discovered that in some areas of the brain neuron density varies in children with autism when compared to the general population.

“We've spent many years describing the larger characteristics of brain regions, such as thickness, volume, and curvature,” said Zachary Christensen, MD/PhD candidate at the University of Rochester School of Medicine and Dentistry, and first author of the paper out today in Autism Research. “However, newer techniques in the field of neuroimaging for characterizing cells using MRI, unveil new levels of complexity throughout development.”

Imaging provides new insight into brain development

Researchers used brain imaging data collected from more than 11,000 children ages 9-11. They compared the imaging of the 142 children in that group with autism, to the general population and found there was lower neuron density in regions of the cerebral cortex. Some of these regions of the brain are responsible for tasks like memory, learning, reasoning, and problem-solving. In contrast, the researchers also found other brain regions, such as the amygdala—an area responsible for emotions—that showed increased neuron density. In addition to comparing the scans of children with autism to those of children without any neurodevelopmental diagnosis, they also compared the children with autism to a large group of children diagnosed with common psychiatric disorders like ADHD and anxiety. The results were the same, suggesting that these differences are specific to Autism.

“People with a diagnosis of autism often have other things they have to deal with, such as anxiety, depression, and ADHD. But these findings mean we now have a new set of measurements that have shown unique promise in characterizing individuals with autism,” Christensen said. “If characterizing unique deviations in neuron structure in those with autism can be done reliably and with relative ease, that opens a lot of opportunities to characterize how autism develops, and these measures may be used to identify individuals with autism that could benefit from more specific therapeutic interventions.”