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Scientific article
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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.

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
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ISSN of the journal1758-9193
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Technical informations

Creation10/24/2018 10:59:00 AM
First validation10/24/2018 10:59:00 AM
Update time03/15/2023 4:01:20 PM
Status update03/15/2023 4:01:18 PM
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