The Open-Access European Prevention of Alzheimer's Dementia (EPAD) MRI dataset and processing workflow

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  • dc.contributor.author Lorenzini, Luigi
  • dc.contributor.author Gispert López, Juan Domingo
  • dc.contributor.author EPAD consortium
  • dc.date.accessioned 2023-02-09T08:07:35Z
  • dc.date.available 2023-02-09T08:07:35Z
  • dc.date.issued 2022
  • dc.description.abstract The European Prevention of Alzheimer Dementia (EPAD) is a multi-center study that aims to characterize the preclinical and prodromal stages of Alzheimer's Disease. The EPAD imaging dataset includes core (3D T1w, 3D FLAIR) and advanced (ASL, diffusion MRI, and resting-state fMRI) MRI sequences. Here, we give an overview of the semi-automatic multimodal and multisite pipeline that we developed to curate, preprocess, quality control (QC), and compute image-derived phenotypes (IDPs) from the EPAD MRI dataset. This pipeline harmonizes DICOM data structure across sites and performs standardized MRI preprocessing steps. A semi-automated MRI QC procedure was implemented to visualize and flag MRI images next to site-specific distributions of QC features - i.e. metrics that represent image quality. The value of each of these QC features was evaluated through comparison with visual assessment and step-wise parameter selection based on logistic regression. IDPs were computed from 5 different MRI modalities and their sanity and potential clinical relevance were ascertained by assessing their relationship with biological markers of aging and dementia. The EPAD v1500.0 data release encompassed core structural scans from 1356 participants 842 fMRI, 831 dMRI, and 858 ASL scans. From 1356 3D T1w images, we identified 17 images with poor quality and 61 with moderate quality. Five QC features - Signal to Noise Ratio (SNR), Contrast to Noise Ratio (CNR), Coefficient of Joint Variation (CJV), Foreground-Background energy Ratio (FBER), and Image Quality Rate (IQR) - were selected as the most informative on image quality by comparison with visual assessment. The multimodal IDPs showed greater impairment in associations with age and dementia biomarkers, demonstrating the potential of the dataset for future clinical analyses.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Lorenzini L, Ingala S, Wink AM, Kuijer JPA, Wottschel V, Dijsselhof M, et al. The Open-Access European Prevention of Alzheimer's Dementia (EPAD) MRI dataset and processing workflow. Neuroimage Clin. 2022;35:103106. DOI: 10.1016/j.nicl.2022.103106
  • dc.identifier.doi http://dx.doi.org/10.1016/j.nicl.2022.103106
  • dc.identifier.issn 2213-1582
  • dc.identifier.uri http://hdl.handle.net/10230/55686
  • dc.language.iso eng
  • dc.publisher Elsevier
  • dc.relation.ispartof Neuroimage Clin. 2022;35:103106
  • dc.rights © 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword EPAD
  • dc.subject.keyword Image analysis pipeline
  • dc.subject.keyword Magnetic resonance imaging
  • dc.subject.keyword Multi-modal data integration
  • dc.subject.keyword Quality control
  • dc.title The Open-Access European Prevention of Alzheimer's Dementia (EPAD) MRI dataset and processing workflow
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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