
Chaos Theory and Behavioral Patterns: A theoretical Approach to Psychosis, Bipolar Disorder and Depression (Pages 2-8)
Athanasios Tsatsaris, Steven Domenikos, Christos Psychos and Dimitrios Moutsiounas Ierion Corporation USA
4 Ag.Kosma street, 51100, Grevena, Greece
DOI: http://dx.doi.org/10.12970/2311-1755.2016.04.01.1
Download PDFAbstract: Introduction: In this research, we investigate whether chaotic phenomena (Chaos Theory) regulate human brain physiological and pathological behavioral patterns (BP).
Methods Modeling the six basic neurotransmitters of Central Nervous System (CNS), that is to say Dopamine (DA), Serotonin (SE), Noradrenalin (NE), γ-aminobutiric acid (GABA), Glutamate (Glu) and Acetylcholine(Ach), a set of six first order differential equations have been developed and studied in phase-space.
Results: The elementary equilibrium points in three (3-DS) and six dimensional (6-DS) phase portrait analysis, include attractors, saddles and repellors. Furthermore, it has been studied the 3-D phase-space of DA, SE and NE.
Conclusions: Attractors indicate a stable equilibrium point which corresponds to the most stable behavioral pattern, while the saddles represent a occasional unstable behavioral pattern and finally the repellors correspond to an unstable dynamic system of a totally disorganized BP.. Among other mechanisms, chaotic phenomena seem to regulate in a particular way the CNS basic neurotransmitters resulting in a huge number of different theoretical BP. The implementation in 3-D phase space provides a different view of Psychosis, Bipolar Disorder and Depression. Further research is needed so as to establish the predictive and therapeutic value of this theoretical approach of Human Behavior.
Keywords: Central Nervous System, chaos, psychosis, bipolar disorder, depression neurotransmitter, behavioral patterns.
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