MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study

Mara ten Kate, Alberto Redolfi, Enrico Peira, Isabelle Bos, Stephanie J. Vos, Rik Vandenberghe, Silvy Gabel, Jolien Schaeverbeke, Philip Scheltens, Olivier Blin, Jill C. Richardson, Regis Bordet, Anders Wallin, Carl Eckerstrom, Jose Luis Molinuevo, Sebastiaan Engelborghs, Christine Van Broeckhoven, Pablo Martinez-Lage, Julius Popp, Magdalini TsolakiFrans R. J. Verhey, Alison L. Baird, Cristina Legido-Quigley, Lars Bertram, Valerija Dobricic, Henrik Zetterberg, Simon Lovestone, Johannes Streffer, Silvia Bianchetti, Gerald P. Novak, Jerome Revillard, Mark F. Gordon, Zhiyong Xie, Viktor Wottschel, Giovanni Frisoni, Pieter Jelle Visser, Frederik Barkhof

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number100
Number of pages12
JournalAlzheimer's Research & Therapy
Volume10
DOIs
Publication statusPublished - 27 Sep 2018

Keywords

  • Alzheimer's disease
  • Mild cognitive impairment
  • Biomarkers
  • Magnetic resonance imaging
  • Amyloid
  • Machine learning
  • Support vector machine
  • European Medical Information Framework for Alzheimer's Disease
  • MILD COGNITIVE IMPAIRMENT
  • ALZHEIMERS-DISEASE
  • BETA DEPOSITION
  • SELECTION BIAS
  • DEMENTIA
  • ATROPHY
  • PREVENTION
  • MACHINE
  • DECLINE
  • PROJECT

Cite this

ten Kate, M., Redolfi, A., Peira, E., Bos, I., Vos, S. J., Vandenberghe, R., Gabel, S., Schaeverbeke, J., Scheltens, P., Blin, O., Richardson, J. C., Bordet, R., Wallin, A., Eckerstrom, C., Molinuevo, J. L., Engelborghs, S., Van Broeckhoven, C., Martinez-Lage, P., Popp, J., ... Barkhof, F. (2018). MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study. Alzheimer's Research & Therapy, 10, [100]. https://doi.org/10.1186/s13195-018-0428-1