Epilepsy is probably the most widely studied EEG pathology. It is a highly prevalent neurological disorder. The presence of neural substrates responsible for the onset or spread of seizures modifies the characteristics of the rsEEG and sleep recordings. These changes can be assessed using qEEG. Nevertheless, numerical methods are not only useful for the study of background activity, but they provide valuable information for the identification and characterization of epileptic seizures (ES). In this chapter, we describe, for the first time, a new type of ES characterized by a low-amplitude beta pattern, located in the central scalp region, and associated with brain injury. Finally, we will show how qEEG can aid in a better diagnosis in cases of non-convulsive status epilepticus. The potential scope of use of qEEG in epilepsy is much larger than described, but this chapter can serve as an introduction to a rough overview.