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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.

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

Schizophrenia Bulletin（2017）

Cited 65|Views42
Key words
schizophrenia,repetitive transcranial magnetic stimulation,neuroanatomical pattern classification,machine learning,voxel-based morphometry,treatment outcome prediction,response heterogeneity
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