Browsing Bergen Open Research Archive by Author "Spetter, Maartje"
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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 ...