@misc{indiciae1aa988b5fce7,
  title = {Determinants of Real-Time fMRI Neurofeedback Performance and Improvement: a Machine Learning Mega-Analysis},
  author = {Haugg, A. and Renz, F. M. and Nicholson, A. A. and Lor, C. and Goetzendorfer, S. J. and Sladky, R. and Skouras, S. and McDonald, A. and Craddock, C. and Hellrung, L. and Kirschner, M. and Herdener, M. and Koush, Y. and Papoutsi, M. and Keynan, J. N. and Hendler, T. and Cohen Kadosh, K. and Zich, C. and Kohl, S. H. and Hallschmid, M. and MacInnes, J. and Adcock, R. A. and Dickerson, K. and Chen, N.-K. and Young, K. and Bodurka, J. and Marxen, M. and Yao, S. and Becker, B. and Auer, T. and Schweizer, R. and Pamplona, G. and Lanius, R. and Emmert, K. and Haller, S. and Van De Ville, D. and Kim, D.-Y. and Lee, J.-H. and Marins, T. and Megumi, F. and Sorger, B. and Kamp, T. and Liew, S.-L. and Veit, R. and Spetter, M. and Weiskopf},
  year = {2020},
  doi = {10.1101/2020.10.21.349118},
  url = {https://www.biorxiv.org/content/10.1101/2020.10.21.349118v1},
  note = {Source identifier: 10.1101/2020.10.21.349118}
}