ENGEMANN, Denis-Alexander, MELLOT, Apolline, HÖCHENBERGER, Richard, BANVILLE, Hubert, SABBAGH, David, GEMEIN, Lukas A. W., BALL, Tonio und GRAMFORT, Alexandre, 2022. A reusable benchmark of brain-age prediction from M/EEG resting-state signals. Freiburg: Universität.
Elsevier - Harvard (with titles)Engemann, D.-A., Mellot, A., Höchenberger, R., Banville, H., Sabbagh, D., Gemein, L.A.W., Ball, T., Gramfort, A., 2022. A reusable benchmark of brain-age prediction from M/EEG resting-state signals. Universität, Freiburg. https://doi.org/10.1016/j.neuroimage.2022.119521
American Psychological Association 7th editionEngemann, D.-A., Mellot, A., Höchenberger, R., Banville, H., Sabbagh, D., Gemein, L. A. W., Ball, T., & Gramfort, A. (ca. 2022). A reusable benchmark of brain-age prediction from M/EEG resting-state signals [Cd]. Universität. https://doi.org/10.1016/j.neuroimage.2022.119521
Springer - Basic (author-date)Engemann D-A, Mellot A, Höchenberger R, Banville H, Sabbagh D, Gemein LAW, Ball T, Gramfort A (2022) A reusable benchmark of brain-age prediction from M/EEG resting-state signals. Universität, Freiburg
Juristische Zitierweise (Stüber) (Deutsch)Engemann, Denis-Alexander/ Mellot, Apolline/ Höchenberger, Richard/ Banville, Hubert/ Sabbagh, David/ Gemein, Lukas A. W./ Ball, Tonio/ Gramfort, Alexandre, A reusable benchmark of brain-age prediction from M/EEG resting-state signals, Freiburg 2022.