Predicting brain-age from multimodal imaging data captures cognitive impairment
Franziskus Liem
(1)
,
Gaël Varoquaux
(2)
,
Jana Kynast
(1)
,
Frauke Beyer
(3)
,
Shahrzad Kharabian Masouleh
(1)
,
Julia M. Huntenburg
(1)
,
Leonie Lampe
(4)
,
Mehdi Rahim
(2, 5)
,
Alexandre Abraham
(2, 5)
,
R. Cameron Craddock
(6)
,
Steffi Riedel-Heller
(7)
,
Tobias Luck
(7)
,
Markus Loeffler
(8)
,
Matthias L. Schroeter
(7)
,
Anja Veronica Witte
(7)
,
Daniel S. Margulies
(1)
1
MPI-MiS -
Max-Planck-Institut für Mathematik in den Naturwissenschaften
2 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
3 LJLL - Laboratoire Jacques-Louis Lions
4 UBC - University of British Columbia [Canada]
5 NEUROSPIN - Service NEUROSPIN
6 NKI - Nathan S. Kline Institute for Psychiatric Research
7 Leipzig University / Universität Leipzig
8 IMISE - Institute for Medical Informatics, Statistics and Epidemiology [Leipzig]
2 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
3 LJLL - Laboratoire Jacques-Louis Lions
4 UBC - University of British Columbia [Canada]
5 NEUROSPIN - Service NEUROSPIN
6 NKI - Nathan S. Kline Institute for Psychiatric Research
7 Leipzig University / Universität Leipzig
8 IMISE - Institute for Medical Informatics, Statistics and Epidemiology [Leipzig]
Gaël Varoquaux
- Function : Author
- PersonId : 5878
- IdHAL : gael-varoquaux
- ORCID : 0000-0003-1076-5122
- IdRef : 126239894
Alexandre Abraham
- Function : Author
- PersonId : 1653
- IdHAL : alexandre-abraham
- IdRef : 193084864
Daniel S. Margulies
- Function : Author
- PersonId : 169900
- IdHAL : daniel-s-margulies
- ORCID : 0000-0002-8880-9204