Equilibrium-Based Bipolar Neurological Modeling

Wen Ran Zhang, Anand K. Pandurangi, Karl E. Peace

Research output: Contribution to book or proceedingChapter

3 Scopus citations

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
Title of host publicationProceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
DOIs
StatePublished - Aug 2006

Disciplines

  • Public Health
  • Biostatistics

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