MRAβ: A multimodal MRI-derived amyloid-β biomarker for Alzheimer's disease

Florbetapir F (AV45), a highly sensitive and specific positron emission tomographic (PET) molecular biomarker binding to the amyloid-β of Alzheimer's disease (AD), is constrained by radiation and cost. We sought to combat it by combining multimodal magnetic resonance imaging (MRI) images and a...

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Bibliographic Details
Published in:Human brain mapping 2023-10, Vol.44 (15), p.5139-5152
Main Authors: Zhang, Yu, Li, Xi, Ji, Yi, Ding, Hao, Suo, Xinjun, He, Xiaoxi, Xie, Yingying, Liang, Meng, Zhang, Shijie, Yu, Chunshui, Qin, Wen
Format: Article
Language:English
Subjects:
Alzheimer's disease
Biomarkers
Cognition & reasoning
Cognitive ability
Datasets
Generative adversarial networks
Magnetic resonance imaging
Neurodegenerative diseases
Positron emission
Spatial variations
β-Amyloid
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Summary:Florbetapir F (AV45), a highly sensitive and specific positron emission tomographic (PET) molecular biomarker binding to the amyloid-β of Alzheimer's disease (AD), is constrained by radiation and cost. We sought to combat it by combining multimodal magnetic resonance imaging (MRI) images and a collaborative generative adversarial networks model (CollaGAN) to develop a multimodal MRI-derived Amyloid-β (MRAβ) biomarker. We collected multimodal MRI and PET AV45 data of 380 qualified participants from the ADNI dataset and 64 subjects from OASIS3 dataset. A five-fold cross-validation CollaGAN were applied to generate MRAβ. In the ADNI dataset, we found MRAβ could characterize the subject-level AV45 spatial variations in both AD and mild cognitive impairment (MCI). Voxel-wise two-sample t-tests demonstrated amyloid-β depositions identified by MRAβ in AD and MCI were significantly higher than healthy controls (HCs) in widespread cortices (p  .92, p 
ISSN:1065-9471
1097-0193
1097-0193
DOI:10.1002/hbm.26452