Non-linear Entropy Analysis in EEG to Predict Treatment Response to Repetitive Transcranial Magnetic Stimulation in Depression

• Главные авторы: Reza Shalbaf (Автор), Colleen Brenner (Автор), Christopher Pang (Автор), Daniel M. Blumberger (Автор), Jonathan Downar (Автор), Zafiris J. Daskalakis (Автор), Joseph Tham (Автор), Raymond W. Lam (Автор), Faranak Farzan (Автор), Fidel Vila-Rodriguez (Автор)
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• Опубликовано: Frontiers Media S.A., 2018-10-01T00:00:00Z.
• Предметы: article
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Background: Biomarkers that predict clinical outcomes in depression are essential for increasing the precision of treatments and clinical outcomes. The electroencephalogram (EEG) is a non-invasive neurophysiological test that has promise as a biomarker sensitive to treatment effects. The aim of our...