Predicting response to repetitive transcranial magnetic stimulation in patients with schizophrenia using structural magnetic resonance imaging: a multisite machine learning analysis
AbstractBackground. The variability of responses to plasticity-inducing repetitive transcranial magnetic stimulation (rTMS) challenges its successful applicati
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
September 2018
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| In: |
Schizophrenia bulletin
Year: 2018, Volume: 44, Issue: 5, Pages: 1021-1034 |
| ISSN: | 1745-1701 |
| DOI: | 10.1093/schbul/sbx114 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1093/schbul/sbx114 Verlag, Volltext: https://academic.oup.com/schizophreniabulletin/article/44/5/1021/4100677 
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| Author Notes: | Nikolaos Koutsouleris, Thomas Wobrock, Birgit Guse, Berthold Langguth, Michael Landgrebe, Peter Eichhammer, Elmar Frank, Joachim Cordes, Wolfgang Wölwer, Francesco Musso, Georg Winterer, Wolfgang Gaebel, Göran 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, and Alkomiet Hasan |
| Summary: | AbstractBackground. The variability of responses to plasticity-inducing repetitive transcranial magnetic stimulation (rTMS) challenges its successful applicati |
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| Item Description: | Gesehen am 30.10.2018 Published: 31 August 2017 |
| Physical Description: | Online Resource |
| ISSN: | 1745-1701 |
| DOI: | 10.1093/schbul/sbx114 |