Akan, AydınDemiralp, TamerGÜRKAN, GÜRAY2016-05-242016-05-2420101211-412Xhttp://hdl.handle.net/11413/1346In this paper, we represent an application of Stockwell Coherence to scalp EEG signals under anesthesia. By the analysis of overlapping, stationary data segments, we obtained the time-varying Stockwell coherence, which reveals the time evolution of coherence changes between any selected channel pair. After the injection and release of the anesthetic agent, time-varying Stockwell coherence analyses demonstrate similar characteristics for different patients.en-USArticle303723700013303723700013