A Network Control Theory of Dynamic Systems Approach to Personalize Therapy

Abstract

Contemporary latent disease models of psychopathology have shown limited clinical utility and the efficacy of conventional treatments have been disappointing. An alternative approach offers the network approach and a dynamic systems perspective to psychopathology and treatment change. To understand and modify dynamic systems, engineering and mathematics have been relying on principles of network control theory. This article will discuss the application of network control theory of dynamic systems approach to personalize therapy. Network control theory can be used as a guide for personalizing treatment by choosing the most promising intervention strategy targeting the change processes based on the network structure. A composit case illustration will demonstrate the principles and application of network control theory to therapy in practice within the framework of process-based therapy. In conclusion, a network control theory of dynamic systems approach is highly relevant and applicable to clinical science.