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

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

doi:10.1186/s13195-018-0428-1

Scientific article

English

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

Published inAlzheimer's Research and Therapy, vol. 10, no. 1, 100

Publication date2018

Abstract

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, combined with demographic data, cognitive data and apolipoprotein E (APOE) ε4 genotype, can be used to predict amyloid pathology using machine-learning classification.

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de psychiatrie

Research groups

Citation (ISO format)

TEN KATE, Mara et al. MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study. In: Alzheimer’s Research and Therapy, 2018, vol. 10, n° 1, p. 100. doi: 10.1186/s13195-018-0428-1

Article (Published version)

CC BY

Identifiers

PID : unige:115252
DOI : 10.1186/s13195-018-0428-1
PMID : 30261928

Journal ISSN1758-9193

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Creation24/10/2018 12:59:00

First validation24/10/2018 12:59:00

Update time15/03/2023 17:01:20

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

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