Article Information
History
- June 12, 2020.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Author Information
- Franziskus Liem1,*,
- Kamalaker Dadi2,
- Denis A. Engemann2,3,
- Alexandre Gramfort2,
- Pierre Bellec4,
- R. Cameron Craddock5,
- Jessica S. Damoiseaux6,
- Christopher J. Steele7,
- Tal Yarkoni5,
- Daniel S. Margulies8 and
- Gaël Varoquaux2
- 1University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
- 2Université Paris-Saclay, Inria, CEA, Palaiseau, France
- 3Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- 4University of Montreal, Montreal, Canada
- 5The University of Texas, Austin, TX, USA
- 6Wayne State University, Detroit, MI, USA
- 7Concordia University, Montreal, Canada
- 8Institut du Cerveau et de la Moelle épinière, Paris, France
- ↵*Corresponding author; email: franz.liem{at}gmail.com
Posted June 12, 2020.
Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging
