AI Scours Brain Data to Spot Mental Illness Patterns

Georgia State University researchers constructed a computer program that can sift through massive volumes of brain imaging data and identify new patterns associated with mental illness.

The researchers trained the artificial intelligence model on functional magnetic resonance imaging brain scans of people with Alzheimer's disease, schizophrenia, and autism spectrum disorder, and scans of individuals without known clinical disorders. Georgia State's Vince Calhoun said the model yielded new patterns that the researchers could definitively link to each of the three disorders.

"Our goal is to bridge big worlds and big datasets with small worlds and disease-specific datasets and move towards markers relevant for clinical decisions," said Georgia State's Md Mahfuzur Rahman.

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