Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance-Reference-Cited by-同舟云学术

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Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

Published:2015 Issue:1 Volume:12 Page:61
ISSN:1738-3684
Container-title:Psychiatry Investigation
language:en
Short-container-title:Psychiatry Investig

Author:

Erguzel Turker Tekin¹,Ozekes Serhat¹,Gultekin Selahattin²,Tarhan Nevzat³⁴,Hizli Sayar Gokben³⁴,Bayram Ali⁵

Affiliation:

1. Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Uskudar University, Istanbul, Turkey.

2. Department of Bioengineering, Faculty of Engineering and Natural Sciences, Uskudar University, Istanbul, Turkey.

3. Department of Psychiatry, Faculty of Humanities and Social Sciences, Uskudar University, Istanbul, Turkey.

4. Department of Psychiatry, NPIstanbul Hospital, Istanbul, Turkey.

5. Biomedical Equipment Technology, Uskudar University, Istanbul, Turkey.

Publisher

Korean Neuropsychiatric Association

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference30 articles.

1. Symptom Clusters as Predictors of Late Response to Antidepressant Treatment

2. The change of prefrontal QEEG theta cordance as a predictor of response to bupropion treatment in patients who had failed to respond to previous antidepressant treatments

3. Efficacy and Safety of Transcranial Magnetic Stimulation in the Acute Treatment of Major Depression: A Multisite Randomized Controlled Trial

4. Computer-Aided Performance Evaluation of a Multichannel Transcranial Magnetic Stimulation System

5. Neurophysiological predictors of non-response to rTMS in depression

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