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