title: Equilibrium-based bipolar neurological modeling.
abstract: 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.
authors.affiliation: Department of Computer Science, College of Information Technology, Georgia Southern University, Statesboro, GA 30460, USA. wrzhang@georgiasouthern.edu
authors.forename: Wen-Ran
authors.initials: WR
authors.lastname: Zhang
authors.forename: Anand K
authors.initials: AK
authors.lastname: Pandurangi
authors.forename: Karl E
authors.initials: KE
authors.lastname: Peace
mesh_terms: 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