To accurately detect, track progression of, and develop novel treatments for mental illnesses, a diagnostic framework is needed that is grounded in biological features. Here, we present the case for utilizing personalized neuroimaging, computational modeling, standardized computing, and ecologically valid neuroimaging to anchor psychiatric nosology in biology.
Keywords: computational modeling; diagnosis; neuroimaging; psychiatry.
Copyright © 2019 Saggar and Uddin.