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  Determinants of Real-Time fMRI Neurofeedback Performance and Improvement: a Machine Learning Mega-Analysis

Haugg, A., Renz, F., Nicholson, A., Lor, C., Goetzendorfer, S., Sladky, R., et al. (submitted). Determinants of Real-Time fMRI Neurofeedback Performance and Improvement: a Machine Learning Mega-Analysis.

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Haugg, A, Author
Renz, FM, Author
Nicholson, AA, Author
Lor, C, Author
Goetzendorfer, SJ, Author
Sladky, R, Author
Skouras, S, Author
McDonald, A, Author
Craddock, C, Author
Hellrung, L, Author
Kirschner, M, Author
Herdener, M1, Author           
Koush, Y, Author
Papoutsi, M, Author
Keynan, JN, Author
Hendler, T, Author
Kadosh, KC, Author
Zich, C, Author
Kohl, SH, Author
Hallschmid, M, Author
MacInnes, J, AuthorAdcock, RA, AuthorDickerson, K, AuthorChen, N-K, AuthorYoung, K, AuthorBodurka, J, AuthorMarxen, M, AuthorYao, S, AuthorBecker, B, AuthorAuer, T, AuthorSchweizer, R, AuthorPamplona, G, AuthorLanius, R, AuthorEmmert, K, AuthorHaller, S, AuthorVan De Ville, D, AuthorKim, D-Y, AuthorLee, J-H, AuthorMarins, T, AuthorMegumi, F, AuthorSorger, B, AuthorKamp, T, AuthorLiew, S-L, AuthorVeit, R1, 2, Author           Spetter, M, AuthorWeiskopf, N, AuthorScharnowski, F, AuthorSteyrl, D, Author more..
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Dates: 2020-10
 Publication Status: Submitted
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1101/2020.10.23.352849
 Degree: -

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