New Research Findings Will Be Discussed in ECNS 2016 Istanbul Meeting
Scientists from Uskudar University have demonstrated that EEG entropy and complexity combined with sophisticated machine learning algorithms could discriminate patients with bipolar disorder from healthy controls. This study is an important contribution to the ongoing efforts to diagnose psychiatric disorders using neuroimaging methods. The potential use of EEG entropy and complexity in diagnosis and follow-up of psychiatric disorders will be discussed in ECNS -2016 meeting, which will be hosted by Uskudar University.
IMPORTANT DATES May 27, 2016 - Symposium, Workshop, Course Proposals Deadline June 24, 2016 - Abstract Submission Deadline June 30, 2016 - End of Early Registration July 01, 2016 - Preliminary Scientific Program