Electronic data capture, representation, and applications for neuroimaging.

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

6 citing papers in PubMed.

1. Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation.Frontiers in neuroinformatics · 2024
   Article
2. The rise of large-scale imaging studies in psychiatry.GigaScience · 2014
   Review
3. Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.Frontiers in neuroinformatics · 2014
   Article
4. Why share data? Lessons learned from the fMRIDC.NeuroImage · 2013
   Article
5. Interpretation of medical imaging data with a mobile application: a mobile digital imaging processing environment.Frontiers in neurology · 2013
   Article
6. Wrangling Big Data Through Diversity, Research Education and Partnerships.Californian journal of health promotion
   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

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.