Equilibrium-based bipolar neurological modeling.
This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatric syndrome with manic and depressive phases. The new model extends the traditional spectrum model of mood states from a static and closed world to a dynamic open-world of equilibria with a bipolar universal modus ponens (BUMP). The utility of the new model is illustrated in diagnostic analysis of depression and clinical psychopharmacology of different phases of this disorder.
Zhang
Wen-Ran
WR
Department of Computer Science, College of Information Technology, Georgia Southern University, Statesboro, GA 30460, USA. wrzhang@georgiasouthern.edu
Pandurangi
Anand K
AK
Peace
Karl E
KE
D000465:Algorithms; D001714:Bipolar Disorder / Q000175:diagnosis* / Q000473:pathology*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted; D017143:Fuzzy Logic; D006801:Humans; D008959:Models, Neurological; D008962:Models, Theoretical; D009991:Oscillometry; D011569:Psychiatric Status Rating Scales; D011618:Psychotic Disorders / Q000175:diagnosis; D012984:Software