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Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis

Koutsouleris, Nikolaos ; Wobrock, Thomas ; Guse, Birgit ; Langguth, Berthold ; Landgrebe, Michael ; Eichhammer, Peter ; Frank, Elmar ; Cordes, Joachim ; Wölwer, Wolfgang ; Musso, Francesco ; Winterer, Georg ; Gaebel, Wolfgang ; Hajak, Göran ; Ohmann, Christian ; Verde, Pablo E. ; Rietschel, Marcella ; Ahmed, Raees ; Honer, William G. ; Dwyer, Dominic ; Ghaseminejad, Farhad ; Dechent, Peter ; Malchow, Berend ; Kreuzer, Peter M. ; Poeppl, Tim B. ; Schneider-Axmann, Thomas ; Falkai, Peter ; Hasan, Alkomiet



Abstract

Background: The variability of responses to plasticity-inducing repetitive transcranial magnetic stimulation (rTMS) challenges its successful application in psychiatric care. No objective means currently exists to individually predict the patients' response to rTMS. Methods: We used machine learning to develop and validate such tools using the pre-treatment structural Magnetic Resonance Images ...

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