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

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

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...

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Bibliographic Details
Main Authors: Reza Shalbaf, Colleen Brenner, Christopher Pang, Daniel M. Blumberger, Jonathan Downar, Zafiris J. Daskalakis, Joseph Tham, Raymond W. Lam, Faranak Farzan, Fidel Vila-Rodriguez
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Pharmacology
Subjects:
EEG
rTMS
major depressive disorder
permutation entropy
empirical mode decomposition
biomarker
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2018.01188/full

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