EEG Characteristics of Major Depressive Disorder Patients with Suicidal Symptoms
Fri, Jan 25, 2019 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Lars Benschop, Ghent Experimental Psychiatry Ghent University Hospital in Belgium
Talk Title: EEG Characteristics of Major Depressive Disorder Patients with Suicidal Symptoms
Biography: Lars Benschop is a PhD candidate from the Ghent Experimental Psychiatry (GHEP) lab at the Ghent University hospital in Belgium. He received his Master's degree in experimental and biological psychology from the University of Ghent.
Lar's research focuses on identifying clinically relevant neural electrophysiological biomarkers in major depressive disorder (MDD) patients with a high risk of suicide. His first study applied a cluster-based permutation analysis on EEG spatial-frequency resting-state data to evaluate differences with respect to suicide risk.
Currently, Lars is designing a combined resting state and task-based study in which 90 MDD patients with varying suicide risk will be shown death and life-related concepts (words and pictures) while undergoing EEG. The aim is to replicate the findings of the first study while also expanding into the time-frequency domain to further our understanding of the suicidal brain. Additionally, Lars will be applying machine learning techniques with the goal of differentiating between MDDs with and without suicide risk.
Outside of his research interests, Lars enjoys composing music, scuba-diving, traveling and hiking.
Host: Professor Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia White