1. Computational and Systems Biology
  2. Neuroscience

Biological brain age prediction using machine learning on structural neuroimaging data: multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex

  1. Irene Cumplido-Mayoral
  2. Marina García-Prat
  3. Grégory Operto
  4. Carles Falcon
  5. Mahnaz Shekari
  6. Raffaele Cacciaglia
  7. Marta Milà-Alomà
  8. Luigi Lorenzini
  9. Silvia Ingala
  10. Alle Meije Wink
  11. Henk JMM Mutsaerts
  12. Carolina Minguillón
  13. Karine Fauria
  14. José Luis Molinuevo
  15. Sven Haller
  16. Gael Chetelat
  17. Adam Waldman
  18. Adam J Schwarz
  19. Frederik Barkhof
  20. Ivonne Suridjan
  21. Gwendlyn Kollmorgen
  22. Anna Bayfield
  23. Henrik Zetterberg
  24. Kaj Blennow
  25. Marc Suárez-Calvet
  26. Verónica Vilaplana
  27. Juan Domingo Gispert López  Is a corresponding author
  1. Pasqual Maragall Foundation, Spain
  2. Amsterdam University Medical Centers, Netherlands
  3. CIRD Centre d'Imagerie Rive Droite, Switzerland
  4. Normandie Univ, UNICAEN, INSERM, U1237, France
  5. University of Edinburgh, United Kingdom
  6. Takeda Pharmaceutical Company Ltd, United States
  7. Roche Diagnostics International Ltd, Switzerland
  8. Roche Diagnostics GmbH, Germany
  9. University of Gothenburg, Sweden
  10. Universitat Politècnica de Catalunya, Spain
https://doi.org/10.7554/eLife.81067
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  1. Irene Cumplido-Mayoral
  2. Marina García-Prat
  3. Grégory Operto
  4. Carles Falcon
  5. Mahnaz Shekari
  6. Raffaele Cacciaglia
  7. Marta Milà-Alomà
  8. Luigi Lorenzini
  9. Silvia Ingala
  10. Alle Meije Wink
  11. Henk JMM Mutsaerts
  12. Carolina Minguillón
  13. Karine Fauria
  14. José Luis Molinuevo
  15. Sven Haller
  16. Gael Chetelat
  17. Adam Waldman
  18. Adam J Schwarz
  19. Frederik Barkhof
  20. Ivonne Suridjan
  21. Gwendlyn Kollmorgen
  22. Anna Bayfield
  23. Henrik Zetterberg
  24. Kaj Blennow
  25. Marc Suárez-Calvet
  26. Verónica Vilaplana
  27. Juan Domingo Gispert López
(2023)
Biological brain age prediction using machine learning on structural neuroimaging data: multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex
eLife 12:e81067.
https://doi.org/10.7554/eLife.81067
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  1. Irene Cumplido-Mayoral
  2. Marina García-Prat
  3. Grégory Operto
  4. Carles Falcon
  5. Mahnaz Shekari
  6. Raffaele Cacciaglia
  7. Marta Milà-Alomà
  8. Luigi Lorenzini
  9. Silvia Ingala
  10. Alle Meije Wink
  11. Henk JMM Mutsaerts
  12. Carolina Minguillón
  13. Karine Fauria
  14. José Luis Molinuevo
  15. Sven Haller
  16. Gael Chetelat
  17. Adam Waldman
  18. Adam J Schwarz
  19. Frederik Barkhof
  20. Ivonne Suridjan
  21. Gwendlyn Kollmorgen
  22. Anna Bayfield
  23. Henrik Zetterberg
  24. Kaj Blennow
  25. Marc Suárez-Calvet
  26. Verónica Vilaplana
  27. Juan Domingo Gispert López
(2023)
Biological brain age prediction using machine learning on structural neuroimaging data: multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex
eLife 12:e81067.
https://doi.org/10.7554/eLife.81067