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Home » Brain scans identify two different autism types

Brain scans identify two different autism types

Shezrah Abbasi by Shezrah Abbasi
June 11, 2026
in Health
Reading Time: 3 mins read
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Brain scans identify two different autism types
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Parents, doctors, teachers, and researchers have long observed that autism manifests very differently from one individual to another. Some children with autism speak very little, while others develop sophisticated language skills. Some are extremely sensitive to sounds and textures, whereas others are less affected. This broad range of characteristics has led scientists to ask a crucial question: Is autism truly a single condition, or could it be a collection of distinct biological states grouped under one name?

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A recent groundbreaking study suggests the reality may be more complex than previously believed. Researchers have uncovered evidence indicating that autism might encompass at least two separate biological forms, each characterized by different patterns of brain communication.

This research was conducted by an international team led by the Italian Institute of Technology, in collaboration with the Child Mind Institute in New York, and scientists from the University of Trento. Their findings were published in the esteemed journal Nature Neuroscience.

The scientists focused on brain connectivity — how various regions of the brain communicate and work together. Using advanced neuroimaging techniques, they measured these communication patterns during periods of rest. They believe that analyzing these patterns can reveal insights into the biological processes that influence brain development.

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To explore potential autism subtypes, the team examined brain scans from 940 children and young adults with autism and compared them to scans from over 1,000 neurotypical individuals. They also studied 20 different mouse models that mimic various biological aspects of autism, providing a cellular-level perspective on the condition.

The animal studies were essential. By delving into brain structure, genetics, and biological pathways in mice, researchers gained a clearer understanding of what’s happening beneath the surface. These insights helped interpret the human brain scans more accurately.

The team identified two primary connectivity patterns. One group displayed decreased communication between brain regions, meaning certain parts of the brain weren’t sharing information as effectively as they typically would. The other group exhibited increased connectivity, with brain regions communicating more intensely than normal.

Biological differences paralleled these patterns. Reduced connectivity was associated with pathways involving synapses—the structures that facilitate neuron-to-neuron signaling. Increased connectivity, meanwhile, linked to immune system pathways. This suggests that different underlying biological mechanisms may contribute to autism across individuals.

To verify their findings, the researchers tested these patterns across multiple independent datasets collected from various research institutions worldwide. The two groups consistently reappeared, lending strong credibility to their results.

Further supporting these conclusions, gene expression analyses linked regions with decreased connectivity to genes involved in synaptic function. Conversely, regions with heightened connectivity were associated with genes related to immune responses. The consistency between animal model results and human data strengthened the researchers’ confidence in their interpretations.

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Behaviorally, the study found modest differences: individuals with higher brain connectivity tended to score slightly higher on measures of autism severity. However, these differences were subtle enough that they wouldn’t be obvious just by observing behavior alone.

This research paints an important picture: two individuals with similar clinical presentations might have fundamentally different biological causes of their autism. Recognizing these hidden differences could pave the way for more personalized treatment approaches in the future.

Looking ahead, scientists hope that identifying brain-based markers can help determine which therapies are most effective for each person—an approach known as precision medicine. Tailoring interventions based on an individual’s specific biological profile could significantly enhance treatment outcomes.

If you’re interested in autism, you might also want to explore studies suggesting that exposure to cats could help reduce anxiety in children with autism, or recent research aimed at developing better, more targeted therapies. Additionally, consider reading about how diet can support brain health and how certain foods might influence autism risk.

Source: Italian Institute of Technology.

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Tags: Autismautism subtypesbiological conditionsbrain connectivitybrain scansBrain scans reveal two distinct types of autismneuroscience
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Shezrah Abbasi

Shezrah Abbasi

Shezrah Abbasi is a computer scientist by profession, currently practises being a Mom and is keen to put her creative skills to use across different platforms.

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