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- Title
Longitudinal multi-centre brain imaging studies: guidelines and practical tips for accurate and reproducible imaging endpoints and data sharing.
- Authors
Wiseman, Stewart J; Meijboom, Rozanna; Valdés Hernández, Maria Del C; Pernet, Cyril; Sakka, Eleni; Job, Dominic; Waldman, Adam D; Wardlaw, Joanna M
- Abstract
<bold>Background: </bold>Research involving brain imaging is important for understanding common brain diseases. Study endpoints can include features and measures derived from imaging modalities, providing a benchmark against which other phenotypical data can be assessed. In trials, imaging data provide objective evidence of beneficial and adverse outcomes. Multi-centre studies increase generalisability and statistical power. However, there is a lack of practical guidelines for the set-up and conduct of large neuroimaging studies.<bold>Methods: </bold>We address this deficit by describing aspects of study design and other essential practical considerations that will help researchers avoid common pitfalls and data loss.<bold>Results: </bold>The recommendations are grouped into seven categories: (1) planning, (2) defining the imaging endpoints, developing an imaging manual and managing the workflow, (3) performing a dummy run and testing the analysis methods, (4) acquiring the scans, (5) anonymising and transferring the data, (6) monitoring quality, and (7) using structured data and sharing data.<bold>Conclusions: </bold>Implementing these steps will lead to valuable and usable data and help to avoid imaging data wastage.
- Publication
Trials, 2019, Vol 20, Issue 1, p21
- ISSN
1745-6215
- Publication type
journal article
- DOI
10.1186/s13063-018-3113-6