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Title

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

Authors
Ten Kate, Mara
Redolfi, Alberto
Peira, Enrico
Bos, Isabelle
Vos, Stephanie J
Vandenberghe, Rik
Gabel, Silvy
Schaeverbeke, Jolien
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Published in Alzheimer's Research and Therapy. 2018, vol. 10, no. 1, 100
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.
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PMID: 30261928
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Article (Published version) (1.1 MB) - public document Free access
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Research groups Neuropsychiatrie et Biomarqueurs de la maladie d'Alzheimer (991)
Troubles de mémoire et maladie d'Alzeimer (935)
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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 https://archive-ouverte.unige.ch/unige:115252

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Deposited on : 2019-03-25

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