Genome-Wide Association Study of Alzheimer’s Disease Brain Imaging Biomarkers and Neuropsychological Phenotypes in the European Medical Information Framework for Alzheimer’s Disease Multimodal Biomarker Discovery Dataset

  1. Homann, J.
  2. Osburg, T.
  3. Ohlei, O.
  4. Dobricic, V.
  5. Deecke, L.
  6. Bos, I.
  7. Vandenberghe, R.
  8. Gabel, S.
  9. Scheltens, P.
  10. Teunissen, C.E.
  11. Engelborghs, S.
  12. Frisoni, G.
  13. Blin, O.
  14. Richardson, J.C.
  15. Bordet, R.
  16. Lleó, A.
  17. Alcolea, D.
  18. Popp, J.
  19. Clark, C.
  20. Peyratout, G.
  21. Martinez-Lage, P.
  22. Tainta, M.
  23. Dobson, R.J.B.
  24. Legido-Quigley, C.
  25. Sleegers, K.
  26. Van Broeckhoven, C.
  27. Wittig, M.
  28. Franke, A.
  29. Lill, C.M.
  30. Blennow, K.
  31. Zetterberg, H.
  32. Lovestone, S.
  33. Streffer, J.
  34. ten Kate, M.
  35. Vos, S.J.B.
  36. Barkhof, F.
  37. Visser, P.J.
  38. Bertram, L.
  39. Erakutsi egile guztiak +
Aldizkaria:
Frontiers in Aging Neuroscience

ISSN: 1663-4365

Argitalpen urtea: 2022

Alea: 14

Mota: Artikulua

DOI: 10.3389/FNAGI.2022.840651 GOOGLE SCHOLAR lock_openSarbide irekia editor
Datuen iturria: Scopus