seizure reports. These false data reports may then impede the neurologist from distinguishing where an episode may begin and end, or if an episode occurred at all. The use of at-home devices also introduces obstacles such as daily visits by a professional to collect the data logs and to take care of the equipment, equipment hazards, and lighting issues for the video recording device. Having long-term video-EEG monitoring sessions in a clinical setting provides a controlled environment that allows the health professional to most efficiently collect data, monitor seizure inducing procedures, and keep the equipment functioning properly. Research Research involving the use of long-term video-EEG monitoring has mostly involved animal models which allows for neuronal activity to be better understood by using methods that may involve the use of psychoactive drugs or inducing states that would not be ethical to induce in humans experimentally. These models provide a relatively inexpensive and low risk scenario compared to humans, when testing their effects on the brain in response to events such as pre-clinical and clinical use of pharmaceutical drugs. The use of animal models also allows for variables, that are not as easily related to seizures in humans, to be taken into account such as how status epileptici affect their brain over an individual's life span, familial lineage, and development during maturation. Thus the heritability, prevalence, and general development of seizures over many generations can be closely monitored and studied. Current research being performed using long-term video-EEG monitoring mostly focuses on the mouse model known as C57BL/6J which can be used to induce behavioral convulsive (CS) and electrographic-nonconvulsive (NCS) seizures. These seizures can then be monitored over a 4-18 week period, which is a much longer period than most humans are normally comfortable with. As these mice are monitored, factors such as the length of the episode, spike amplitude, interspike interval, and spike frequency can all be closely observed to see how CS and NCS develop over the trial. The stages of the status epileptici can then be distinguished by using scales, such as the Racine Stages and CSS indices, to determine the severity of the episode and how they may also change over a given cycle. References External links EEG video monitoring at Medscape Reference Long-term Video-EEG Monitoring for Paroxysmal Events Electroencephalography