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Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?
Haugg A, Sladky R, Skouras S, McDonald A, Craddock C, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan JN, Hendler T, Cohen Kadosh K, Zich C, MacInnes J, Adcock RA, Dickerson K, Chen NK, Young K, Bodurka J, Yao S, Becker B, Auer T, Schweizer R, Pamplona G, Emmert K, Haller S, Van De Ville D, Blefari ML, Kim DY, Lee JH, Marins T, Fukuda M, Sorger B, Kamp T, Liew SL, Veit R, Spetter M, Weiskopf N, Scharnowski F. Haugg A, et al. Among authors: kim dy. Hum Brain Mapp. 2020 Oct 1;41(14):3839-3854. doi: 10.1002/hbm.25089. Epub 2020 Jul 30. Hum Brain Mapp. 2020. PMID: 32729652 Free PMC article.
Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.
Haugg A, Renz FM, Nicholson AA, Lor C, Götzendorfer SJ, Sladky R, Skouras S, McDonald A, Craddock C, Hellrung L, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan J, Hendler T, Cohen Kadosh K, Zich C, Kohl SH, Hallschmid M, MacInnes J, Adcock RA, Dickerson KC, Chen NK, Young K, Bodurka J, Marxen M, Yao S, Becker B, Auer T, Schweizer R, Pamplona G, Lanius RA, Emmert K, Haller S, Van De Ville D, Kim DY, Lee JH, Marins T, Megumi F, Sorger B, Kamp T, Liew SL, Veit R, Spetter M, Weiskopf N, Scharnowski F, Steyrl D. Haugg A, et al. Among authors: kim dy. Neuroimage. 2021 Aug 15;237:118207. doi: 10.1016/j.neuroimage.2021.118207. Epub 2021 May 25. Neuroimage. 2021. PMID: 34048901 Free article.
5,090 results