"Controlling Synchronization Patterns in Complex Networks" offers a comprehensive examination of synchronization in complex networks and its relationship to network topology. Synchronization is a widespread phenomenon observed in various disciplines such as physics, chemistry, biology, medicine, and engineering. Particularly in the human brain, synchronization plays a crucial role as it is linked to cognitive abilities and also plays a significant role in neurological disorders. The book addresses not only zero-lag synchronization but also group and cluster states to describe and analyze complex synchronization patterns. Furthermore, adaptive control methods are developed that allow for the control of synchronization in scenarios where parameters vary or are unknown. These methods are especially relevant for experimental setups and technological applications. The theoretical framework is illustrated using generic models, coupled chemical oscillators, and detailed examples of neural networks.