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Major depressive disorder (MDD) is a debilitating disease characterized by depressed mood, diminished interests, impaired cognitive function and vegetative symptoms, such as disturbed sleep or appetite. MDD affects one in six adults in their lifetime. To date, decisions regarding specific treatment protocols for MDD are based on clinical experience and risk factors with limited data on outcome prediction. In addition, since it takes 8 weeks to assess if a treatment is successful, the long and often unsuccessful search for an effective antidepressant is accompanied by significant decrease in patients' quality of life, an increased risk of suicidal action, and decreased chance of response and remission with each attempt. This has led to examination of various markers (e.g., neuroimaging, electrophysiological, genetic and behavioral) in an attempt to predict the response to various forms of treatments, including pharmacotherapies and TMS (Transcranial Magnetic Stimulation) for depression.
Elminda had developed a novel, non-invasive imaging EEG-based technology, Brain Network Analytics (BNA), for visualization and quantification of specific brain functions. The rationale of the study is to develop a reliable marker for MDD treatment outcome based on the BNA.
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Elminda was granted a specific funding from the European Union in the framework of the Horizon 2020 program (Grant No: 808677 & 859051) to perform this study.
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390 participants in 2 patient groups
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Liran Korine
Data sourced from clinicaltrials.gov
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