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

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

Abstract Background With the shift of research focus towards the pre-dementia stage of Alzheimer’s disease (AD), there is an urgent need for reliable, non-invasive biomarkers to predict amyloid pathology. The aim of this study was to assess whether easily obtainable measures from structural MRI, com...

Full description

Bibliographic Details
Main Authors: 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, José Luis Molinuevo, Sebastiaan Engelborghs, Christine Van Broeckhoven, Pablo Martinez-Lage, Julius Popp, Magdalini Tsolaki, Frans 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
Format: Article
Language:English
Published: BMC 2018-09-01
Series:Alzheimer’s Research & Therapy
Subjects:
Alzheimer’s disease
Mild cognitive impairment
Biomarkers
Magnetic resonance imaging
Amyloid
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13195-018-0428-1

Internet

http://link.springer.com/article/10.1186/s13195-018-0428-1

Similar Items