• Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity? 

      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 (Journal article; Peer reviewed, 2020)
      Neurofeedback training has been shown to influence behavior in healthy participants as well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient populations. However, many real-time ...
    • Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis 

      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 (Journal article; Peer reviewed, 2021)
      Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants ...
    • Progressive modulation of resting‑state brain activity during neurofeedback of positive‑social emotion regulation networks 

      Krylova, Marina; Skouras, Stavros; Razi, Adeel; Nicholson, Andrew A; Karner, Alexander; Steyrl, David; Boukrina, Olga; Rees, Geraint; Scharnowski, Frank; Koush, Yury (Journal article; Peer reviewed, 2021)
      Neurofeedback allows for the self-regulation of brain circuits implicated in specific maladaptive behaviors, leading to persistent changes in brain activity and connectivity. Positive-social emotion regulation neurofeedback ...