Published online May 19, 2022. doi: 10.5498/wjp.v12.i5.651
Peer-review started: July 11, 2021
First decision: October 4, 2021
Revised: October 7, 2021
Accepted: April 25, 2022
Article in press: April 25, 2022
Published online: May 19, 2022
Processing time: 310 Days and 23.5 Hours
Core Tip: We review the merits of machine learning-derived nomothetic network psychiatry (NNP) models of mood disorders. The NNP models of mood disorders show that major depressive disorder/bipolar disorder are not mind-brain or psycho-social but systemic medical disorders. The DSM/ICD taxonomies are counterproductive. A shared core, namely the reoccurrence of illness (ROI), underpins the intertwined recurrence of depressive and manic episodes and suicidal behaviors. Mood disorders should be ROI-defined. ROI mediates the effects of nitro-oxidative stress pathways and early lifetime trauma on the phenome of mood disorders. Severity of illness and treatment response should be delineated using NNP-derived causome, adverse outcome pathways, ROI and phenome scores.
