The post explores a new model for understanding mental disorders as networks of interconnected symptoms rather than discrete diseases with underlying causes. Longer summary

This post discusses a new way of understanding mental disorders proposed by Nuijten, Deserno, Cramer, and Borsboom (NDCB). Instead of viewing psychiatric conditions as discrete diseases with underlying causes, they suggest viewing them as networks of interconnected symptoms. The author explains how this model can account for various aspects of mental illness that are difficult to explain with traditional models, such as comorbidity, the effects of life stressors, and the polygenic nature of mental illnesses. The post also considers some limitations of this approach, particularly in explaining conditions like bipolar disorder and the rapid effects of treatments like ketamine. Despite these issues, the author finds the network model compelling as a way to understand the complexity of psychiatric disorders. Shorter summary