Longitudinal multi-centre brain imaging studies: guidelines and practical tips for accurate and reproducible imaging endpoints and data sharing.

Abstract:

BACKGROUND: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. METHODS: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. RESULTS: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. CONCLUSIONS:Implementing these steps will lead to valuable and usable data and help to avoid imaging data wastage.

journal_name

Trials

journal_title

Trials

authors

Wiseman SJ,Meijboom R,Valdés Hernández MDC,Pernet C,Sakka E,Job D,Waldman AD,Wardlaw JM

doi

10.1186/s13063-018-3113-6

subject

Has Abstract

pub_date

2019-01-07 00:00:00

pages

21

issue

1

issn

1745-6215

pii

10.1186/s13063-018-3113-6

journal_volume

20

pub_type

杂志文章,多中心研究

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