Dynamic mental illness indicators caught by advanced AI in brain imaging

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Dynamic mental illness indicators caught by advanced AI in brain imaging

New research by Georgia State University’s TReNDS Center may lead to early diagnosis of devastating conditions such as Alzheimer’s disease, schizophrenia and autism—in time to help prevent and more easily treat these disorders. In a new study published in Scientific Reports a team of seven scientists from Georgia State built a sophisticated computer program that was able to comb through massive amounts of brain imaging data and discover novel patterns linked to mental health conditions. The brain imaging data came from scans using functional magnetic resonance imaging (fMRI), which measures dynamic brain activity by detecting tiny changes in blood flow.

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