Engemann, 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]. Freiburg: Universität. https://doi.org/10.1016/j.neuroimage.2022.119521
ISO-690 (author-date, English)ENGEMANN, Denis-Alexander, MELLOT, Apolline, HÖCHENBERGER, Richard, BANVILLE, Hubert, SABBAGH, David, GEMEIN, Lukas A. W., BALL, Tonio and GRAMFORT, Alexandre, 2022. A reusable benchmark of brain-age prediction from M/EEG resting-state signals. Freiburg: Universität.
Modern Language Association 9th editionEngemann, D.-A., A. Mellot, R. Höchenberger, H. Banville, D. Sabbagh, L. A. W. Gemein, T. Ball, and A. Gramfort. A reusable benchmark of brain-age prediction from M/EEG resting-state signals. cd, Universität, 2022, https://doi.org/10.1016/j.neuroimage.2022.119521.
Mohr Siebeck - Recht (Deutsch - Österreich)Engemann, Denis-Alexander/Mellot, Apolline/Höchenberger, Richard/Banville, Hubert/Sabbagh, David/Gemein, Lukas A. W. et al.: A reusable benchmark of brain-age prediction from M/EEG resting-state signals, Freiburg 2022.
Emerald - HarvardEngemann, D.-A., Mellot, A., Höchenberger, R., Banville, H., Sabbagh, D., Gemein, L.A.W., Ball, T. and Gramfort, A. (2022), A reusable benchmark of brain-age prediction from M/EEG resting-state signals, Vol. , Universität, Freiburg, available at:https://doi.org/10.1016/j.neuroimage.2022.119521.