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

• Egile Nagusiak: Reza Shalbaf (Egilea), Colleen Brenner (Egilea), Christopher Pang (Egilea), Daniel M. Blumberger (Egilea), Jonathan Downar (Egilea), Zafiris J. Daskalakis (Egilea), Joseph Tham (Egilea), Raymond W. Lam (Egilea), Faranak Farzan (Egilea), Fidel Vila-Rodriguez (Egilea)
• Formatua: Liburua
• Argitaratua: Frontiers Media S.A., 2018-10-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

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...