This lecture delves into the concept of cognitive network components in the brain, exploring how different brain regions are recruited for various psychological tasks. The instructor discusses the importance of capturing higher-order interaction structures and introduces methods like autoencoders and geodesic distance to discover relevant functional compartments in the brain. By examining experimental data from an empathy task, the lecture demonstrates how cognitive components can predict and differentiate between tasks, bridging the gap between regional and network organizational principles. Additionally, the lecture highlights the significance of incorporating time dynamics in understanding complex brain functions, emphasizing the ongoing research in the Human Brain Project and related endeavors.