Equilibrium-Based Bipolar Neurological Modeling

Author

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

Author_Institution

Dept. of Comput. Sci., Georgia Southern Univ., Statesboro, GA

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

5169

Lastpage

5172

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

Keywords

medical diagnostic computing; neurophysiology; physiological models; psychology; bipolar disorder; bipolar universal modus ponens; clinical psychopharmacology; depressive phase; diagnostic analysis; equilibrium-based bipolar neurological modeling; equilibrium-based dynamic model; manic phase; psychiatric syndrome; Cities and towns; Lattices; Logic; Medical diagnostic imaging; Mood; Psychiatry; Psychology; Stability analysis; Time series analysis; USA Councils; Bipolar Diagnostic Analysis; Bipolar Neurological Modeling; Depression and Bipolar Disorder; YinYang Bipolar Equilibrium;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259424

Filename

4462968