Study Identifies 2 Autism Subtypes in 940 Patients Using fMRI and Molecular Signatures
Updated
Updated · BIOENGINEER.ORG · May 29
Study Identifies 2 Autism Subtypes in 940 Patients Using fMRI and Molecular Signatures
8 articles · Updated · BIOENGINEER.ORG · May 29
More than 940 people with autism and 1,000 controls helped researchers identify two reproducible subtypes marked by either reduced or excessive whole-brain connectivity, according to a Nature Neuroscience study.
Twenty genetically distinct mouse models linked the hypoconnectivity subtype to synaptic pathway disruption and the hyperconnectivity subtype to immune-related processes, tying brain-scan patterns to distinct biology.
ABIDE datasets from multiple research centers reproduced both signatures, strengthening the case for resting-state fMRI as a biomarker beyond behavior-based autism classification.
About 25% of autistic participants fit the two subtypes, suggesting additional biologically distinct groups remain to be found as datasets and analytic tools expand.
The findings point toward more personalized autism diagnosis and treatment by stratifying patients with brain-based and molecular markers rather than symptoms alone.
If new research explains two autism subtypes, what biological secrets do the other 75% of cases hold?
As science redefines autism by brain type, will this lead to tailored therapies or new forms of prejudice?
Two Biological Subtypes of Autism Revealed: New Pathways for Personalized Medicine
Overview
A groundbreaking international study published in May 2026 identified two distinct biological subtypes of autism: hypoconnectivity and hyperconnectivity. The hypoconnectivity subtype features weaker connections between brain regions, while the hyperconnectivity subtype shows stronger, sometimes excessive, connections. These subtypes have fundamentally different brain architectures, which means autistic individuals process information in unique ways. Notably, those with hyperconnectivity tend to have higher autism severity scores. This discovery, achieved by linking human brain imaging with animal model findings, marks a major step toward understanding autism’s biological roots and opens the door to more targeted diagnosis and treatment in the future.