Equilibrium-Based Bipolar Neurological Modeling

Wen-Rang Zhang, Anand K. Pandurangi, Karl E. Peace

Research output: Contribution to conferencePresentation

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
Original languageAmerican English
StatePublished - Sep 3 2006
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society - New York, NY
Duration: Sep 3 2006 → …

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society
Period09/3/06 → …

Keywords

  • Bipolar neurological modeling
  • Equilibrium-based

DC Disciplines

  • Biostatistics
  • Public Health

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