In order to better prevent and cure debilitating ailments including Alzheimer's disease, schizophrenia, and autism, new research at Georgia State University's TReNDS Center may result in early detection. For a recent study published in Nature Scientific Reports, a team of seven scientists from Georgia State University created a sophisticated computer program to sift through enormous amounts of brain imaging data and discover unexpected patterns related to mental health disorders. The brain imaging data were generated using functional magnetic resonance imaging (fMRI) scans, which measure dynamic brain activity by detecting minute fluctuations in the flow of blood. Although exceedingly complicated, brain dynamics are the key to understanding how the brain functions and malfunctions. Functional magnetic resonance imaging resting-state dynamics are noisy, high-dimensional, and difficult to understand.