Published online Jan 19, 2021. doi: 10.5498/wjp.v11.i1.1
Peer-review started: November 24, 2020
First decision: December 12, 2020
Revised: December 15, 2020
Accepted: December 26, 2020
Article in press: December 26, 2020
Published online: January 19, 2021
Core Tip: The nomothetic network psychiatry approach is a new method which aims to construct causal models of schizophrenia and mood disorders by integrating all features of those mental illnesses into a data-driven model. These features comprise data on risk-resilience, adverse outcome pathways, the cognitome, brainome, symptomatome, staging, and the phenomenome. Partial Least Squares analysis may be employed to train, test, and validate those models and to build pathway-phenotypes or biosignatures. Clustering analysis performed on all illness features, reduced into latent traits scores, may expose relevant new transdiagnostic classes.