Penn Medicine researchers are the first to discover two distinct neuroanatomical subtypes of schizophrenia after analyzing the brain scans of over 300 patients. The first type showed lower widespread volumes of gray matter when compare to healthy controls, while the second type had volumes largely similar to normal brains. The findings, published Thursday in the journal Brain, suggest that, in the future, accounting for these differences could inform more personalized treatment options.
Combining neuroimaging data with artificial intelligence, researchers have identified two distinct neuroanatomical subtypes of schizophrenia. The first, more typical subtype is associated with a lower widespread volume of gray matter compared to healthy controls. In the second subtype, gray matter volume is largely similar to healthy brains.
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