ArticleNeuroImage2017
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Responsible data sharing in international health research: a systematic review of principles and norms.BMC medical ethics · 2019Pooled it
- A Platform for Automatic Extraction of Imaging Biomarkers in CT Scans from Ischemic and Hemorrhagic Stroke Patients.Journal of imaging informatics in medicine · 2026Article
- Genetic diagnostic yield by MRI pattern in children with cerebral palsy: a population-based study.EBioMedicine · 2025Article
- Transparency in the secondary use of health data: assessing the status quo of guidance and best practices.Royal Society open science · 2025Article
- From calcium imaging to graph topology.Network neuroscience (Cambridge, Mass.) · 2022Review
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- Considerations for an integrated population health databank in Africa: lessons from global best practices.Wellcome open research · 2021Article
- Management and Quality Control of Large Neuroimaging Datasets: Developments From the Barcelonaβeta Brain Research Center.Frontiers in neuroscience · 2021Article
- Impact of preterm birth on brain development and long-term outcome: protocol for a cohort study in Scotland.BMJ open · 2020Article
- The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.Scientific data · 2019Article
- Article
- Normal Aging Brain Collection Amsterdam (NABCA): A comprehensive collection of postmortem high-field imaging, neuropathological and morphometric datasets of non-neurological controls.NeuroImage. Clinical · 2019Article
- Predicting age from cortical structure across the lifespan.The European journal of neuroscience · 2018Article
- Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review.Alzheimer's & dementia (Amsterdam, Netherlands) · 2018Article
- Human brain atlasing: past, present and future.The neuroradiology journal · 2017Review
- Assessing metadata privacy in neuroimaging.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
Brain imaging is now ubiquitous in clinical practice and research. The case for bringing together large amounts of image data from well-characterised healthy subjects and those with a range of common brain diseases across the life course is now compelling. This report follows a meeting of international experts from multiple disciplines, all interested in brain image biobanking. The meeting included neuroimaging experts (clinical and non-clinical), computer scientists, epidemiologists, clinicians, ethicists, and lawyers involved in creating brain image banks. The meeting followed a structured format to discuss current and emerging brain image banks; applications such as atlases; conceptual and statistical problems (e.g. defining 'normality'); legal, ethical and technological issues (e.g. consents, potential for data linkage, data security, harmonisation, data storage and enabling of research data sharing). We summarise the lessons learned from the experiences of a wide range of individual image banks, and provide practical recommendations to enhance creation, use and reuse of neuroimaging data. Our aim is to maximise the benefit of the image data, provided voluntarily by research participants and funded by many organisations, for human health. Our ultimate vision is of a federated network of brain image biobanks accessible for large studies of brain structure and function.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.