Success and failure of controlling the real‐time functional magnetic resonance imaging neurofeedback signal are reflected in the striatum von Skottnik, Leon, Sorger, Bettina, Kamp, Tabea, Linden, David, Goebel, Rainer

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When the brain takes ‘BOLD’ steps: Real-time fMRI neurofeedback can further enhance the ability to gradually self-regulate regional brain activation von Sorger, Bettina, Kamp, Tabea, Weiskopf, Nikolaus, Peters, Judith Caroline, Goebel, Rainer

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Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis von Haugg, Amelie, Renz, Fabian M., Nicholson, Andrew A., Lor, Cindy, Götzendorfer, Sebastian J., Sladky, Ronald, Skouras, Stavros, McDonald, Amalia, Craddock, Cameron, Hellrung, Lydia, Kirschner, Matthias, Herdener, Marcus, Koush, Yury, Papoutsi, Marina, Keynan, Jackob, Hendler, Talma, Cohen Kadosh, Kathrin, Zich, Catharina, Kohl, Simon H., Hallschmid, Manfred, MacInnes, Jeff, Adcock, R. Alison, Dickerson, Kathryn C., Chen, Nan-Kuei, Young, Kymberly, Bodurka, Jerzy, Marxen, Michael, Yao, Shuxia, Becker, Benjamin, Auer, Tibor, Schweizer, Renate, Pamplona, Gustavo, Lanius, Ruth A., Emmert, Kirsten, Haller, Sven, Van De Ville, Dimitri, Kim, Dong-Youl, Lee, Jong-Hwan, Marins, Theo, Megumi, Fukuda, Sorger, Bettina, Kamp, Tabea, Liew, Sook-Lei, Veit, Ralf, Spetter, Maartje, Weiskopf, Nikolaus, Scharnowski, Frank, Steyrl, David

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The prestimulus default mode network state predicts cognitive task performance levels on a mental rotation task von Kamp, Tabea, Sorger, Bettina, Benjamins, Caroline, Hausfeld, Lars, Goebel, Rainer

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Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity? von Haugg, Amelie, Sladky, Ronald, Skouras, Stavros, McDonald, Amalia, Craddock, Cameron, Kirschner, Matthias, Herdener, Marcus, Koush, Yury, Papoutsi, Marina, Keynan, Jackob N., Hendler, Talma, Cohen Kadosh, Kathrin, Zich, Catharina, MacInnes, Jeff, Adcock, R. Alison, Dickerson, Kathryn, Chen, Nan‐Kuei, Young, Kymberly, Bodurka, Jerzy, Yao, Shuxia, Becker, Benjamin, Auer, Tibor, Schweizer, Renate, Pamplona, Gustavo, Emmert, Kirsten, Haller, Sven, Van De Ville, Dimitri, Blefari, Maria‐Laura, Kim, Dong‐Youl, Lee, Jong‐Hwan, Marins, Theo, Fukuda, Megumi, Sorger, Bettina, Kamp, Tabea, Liew, Sook‐Lei, Veit, Ralf, Spetter, Maartje, Weiskopf, Nikolaus, Scharnowski, Frank

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Can we predict real-timefMRIneurofeedback learning success from pretraining brain activity? von Haugg, Amelie, Sladky, Ronald, Skouras, Stavros, McDonald, Amalia, Craddock, Cameron, Kirschner, Matthias, Herdener, Marcus, Koush, Yury, Papoutsi, Marina, Keynan, Jackob N., Hendler, Talma, Cohen Kadosh, Kathrin, Zich, Catharina, MacInnes, Jeff, Adcock, Alison, Dickerson, Kathryn, Chen, Nan-Kuei, Young, Kymberly, Bodurka, Jerzy, Yao, Shuxia, Becker, Benjamin, Auer, Tibor, Schweizer, Renate, Pamplona, Gustavo, Emmert, Kirsten, Haller, Sven, van de Ville, Dimitri, Blefari, Maria-Laura, Kim, Dong-Youl, Lee, Jong-Hwan, Marins, Theo, Fukuda, Megumi, Sorger, Bettina, Kamp, Tabea, Liew, Sook-Lei, Veit, Ralf, Spetter, Maartje, Weiskopf, Nikolaus, Scharnowski, Frank

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The prestimulus default mode network state predicts cognitive task performance levels on a mental rotation task von Kamp, Tabea, Sorger, Bettina, Benjamins, Caroline, Hausfeld, Lars, Goebel, Rainer

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Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis von Haugg, Amelie, Renz, Fabian M, Nicholson, Andrew A, Lor, Cindy, Götzendorfer, Sebastian J, Sladky, Ronald, Skouras, Stavros, McDonald, Amalia, Craddock, Cameron, Hellrung, Lydia, Kirschner, Matthias, Herdener, Marcus, Koush, Yury, Papoutsi, Marina, Keynan, Jackob N, Hendler, Talma, Cohen Kadosh, Kathrin, Zich, Catharina, Kohl, Simon H, Hallschmid, Manfred, MacInnes, Jeff, Adcock, R. Alison, Dickerson, Kathryn, Chen, Nan-Kuei, Young, Kymberly, Bodurka, Jerzy, Marxen, Michael, Yao, Shuxia, Becker, Benjamin, Auer, Tibor, Schweizer, Renate, Pamplona, Gustavo, Lanius, Ruth A, Emmert, Kirsten, Haller, Sven, Van De Ville, Dimitri, Kim, Dong-Youl, Lee, Jong-Hwan, Marins, Theo, Megumi, Fukuda, Sorger, Bettina, Kamp, Tabea, Liew, Sook-Lei, Veit, Ralf, Spetter, Maartje, Weiskopf, Nikolaus, Scharnowski, Frank, Steyrl, David

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Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity? von Haugg, Amelie, Sladky, Ronald, Skouras, Stavros, McDonald, Amalia, Craddock, Cameron, Kirschner, Matthias, Herdener, Marcus, Koush, Yury, Papoutsi, Marina, Keynan, Jackob N, Hendler, Talma, Cohen Kadosh, Kathrin, Zich, Catharina, MacInnes, Jeff, Adcock, R. Alison, Dickerson, Kathryn, Chen, Nan-Kuei, Young, Kymberly, Bodurka, Jerzy, Yao, Shuxia, Becker, Benjamin, Auer, Tibor, Schweizer, Renate, Pamplona, Gustavo, Emmert, Kirsten, Haller, Sven, Van De Ville, Dimitri, Blefari, Maria-Laura, Kim, Dong-Youl, Lee, Jong-Hwan, Marins, Theo, Fukuda, Megumi, Sorger, Bettina, Kamp, Tabea, Liew, Sook-Lei, Veit, Ralf, Spetter, Maartje, Weiskopf, Nikolaus, Scharnowski, Frank

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Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity? von Haugg, Amelie, Sladky, Ronald, Skouras, Stavros, McDonald, Amalia, Craddock, Cameron, Kirschner, Matthias, Herdener, Marcus, Papoutsi, Marina, Keynan, Jackob N, Hendler, Talma, Cohen Kadosh, Kathrin, Zich, Catharina, MacInnes, Jeff, Adcock, Alison, Dickerson, Kathryn, Chen, Nan-Kuei, Young, Kymberly, Bodurka, Jerzy, Yao, Shuxia, Becker, Benjamin, Auer, Tibor, Schweizer, Renate, Pamplona, Gustavo, Emmert, Kirsten, Haller, Sven, van de Ville, Dimitri, Blefari, Maria-Laura, Kim, Dong-Youl, Lee, Jong-Hwan, Marins, Theo, Fukuda, Megumi, Sorger, Bettina, Kamp, Tabea, Liew, Sook-Lei, Veit, Ralf, Spetter, Maartje, Weiskopf, Nikolaus, Scharnowski, Frank

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Predictors of real-time fMRI neurofeedback performance and improvement-A machine learning mega-analysis von Haugg, Amelie, Renz, Fabian M, Nicholson, Andrew A, Lor, Cindy, Gotzendorfer, Sebastian J, Sladky, Ronald, Skouras, Stavros, McDonald, Amalia, Craddock, Cameron, Hellrung, Lydia, Kirschner, Matthias, Herdener, Marcus, Koush, Yury, Papoutsi, Marina, Keynan, Jackob, Hendler, Talma, Kadosh, Kathrin Cohen, Zich, Catharina, Kohl, Simon H, Hallschmid, Manfred, MacInnes, Jeff, Adcock, R. Alison, Dickerson, Kathryn C, Chen, Nan-Kuei, Young, Kymberly, Bodurka, Jerzy, Marxen, Michael, Yao, Shuxia, Becker, Benjamin, Auer, Tibor, Schweizer, Renate, Pamplona, Gustavo, Lanius, Ruth A, Emmert, Kirsten, Haller, Seven, van de Ville, Dimitri, Kim, Dong-Youl, Lee, Jong-Hwan, Marins, Theo, Megumi, Fukuda, Sorger, Bettina, Kamp, Tabea, Liew, Sook-Lei, Veit, Ralf, Spetter, Maartje, Weiskopf, Nikolaus, Scharnowski, Frank, Steyrl, David

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Transcranial direct current stimulation as an additional treatment to selective serotonin reuptake inhibitors in adults with major depressive disorder in Germany (DepressionDC): a... von Burkhardt, Gerrit, Kumpf, Ulrike, Crispin, Alexander, Goerigk, Stephan, Andre, Elisabeth, Plewnia, Christian, Brendel, Bettina, Fallgatter, Andreas, Langguth, Berthold, Abdelnaim, Mohamed, Hebel, Tobias, Normann, Claus, Frase, Lukas, Zwanzger, Peter, Diemer, Julia, Kammer, Thomas, Schönfeldt-Lecuona, Carlos, Kamp, Daniel, Bajbouj, Malek, Behler, Nora, Wilkening, Anja, Nenov-Matt, Tabea, Dechantsreiter, Esther, Keeser, Daniel, Bulubas, Lucia, Palm, Ulrich, Blankenstein, Christiane, Mansmann, Ulrich, Falkai, Peter, Brunoni, Andre R, Hasan, Alkomiet, Padberg, Frank

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