Elsevier Basal Ganglia Dynamics: From Motor Units to Networked Chaotic Oscillators

Basal Ganglia Dynamics: From Motor Units to Networked Chaotic Oscillators addresses the critical need for new theoretical frameworks in understanding the basal ganglia–thalamic–cortical system, particularly in the context of movement disorders such as Parkinson’s disease. Despite significant therapeutic advances, current dopamine replacement and Deep Brain Stimulation therapies remain limited due to incomplete and oversimplified prevailing theories. This reference provides a comprehensive alternative approach grounded in complexity science, nonlinear dynamics, and chaotic systems theory. The book's contents span foundational concepts, including motor unit orchestration, networked nonlinear oscillators, information theory, and methodological considerations. Detailed chapters cover the shortcomings of current models, the application of chaotic system mathematics to basal ganglia physiology, and the implications for pathophysiology and treatment. The book also includes extensive simulations, operational hypotheses, and a rigorous critique of existing paradigms that is supported by principles such as Causational and Informational Synonymy. Presents a novel theory that embraces complexity and nonlinearity of basal ganglia physiology Applies principles of Chaotic Systems to movement disorders like Parkinson’s disease Integrates Information theory and mathematical philosophy for new insights Explores motor unit orchestration with implications for neuronal control Provides detailed simulations and operational hypotheses for future research