ArticleNeuroinformatics2022
Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.
Article in Neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Paving the Way for Alzheimer's Disease Prevention: A Systematic Review of Global Open-Access Neuroimaging Datasets in Healthy Individuals.Journal of Alzheimer's disease : JAD · 2023Pooled it
- Demographic reporting across a decade of neuroimaging: a systematic review.Brain imaging and behavior · 2022Pooled it
- Reconciling global collaboration and data sovereignty in neuroscience.Nature neuroscience · 2026Review
- Bias in Structural MRI Correlates of Delay Discounting due to Head Motion.Human brain mapping · 2026Article
- Measuring Arousal: Promises and Pitfalls.Affective science · 2025Review
- Challenging the status quo: A guide to open and reproducible neuroimaging for early career researchers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Machine learning-based reconstruction of 2D MRI for quantitative morphometry in epilepsy.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Automated quality control of T1-weighted brain MRI scans for clinical research datasets: methods comparison and design of a quality prediction classifier.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Increasing the representation of minoritized youth for inclusive and reproducible brain-behavior associations.bioRxiv : the preprint server for biology · 2024Article
- MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data.Medical image analysis · 2023Article
- Artificial intelligence tools in clinical neuroradiology: essential medico-legal aspects.Neuroradiology · 2023Review
- A new open, high-resolution, multishell, diffusion-weighted imaging dataset of the living squirrel monkey.Scientific data · 2023Article
- Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer.Brain informatics · 2023Article
- Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN.Frontiers in neuroinformatics · 2023Article
- Data management strategy for a collaborative research center.GigaScience · 2022Article
- Review
- Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development.NeuroImage · 2022Article
- Sex differences in the human brain: a roadmap for more careful analysis and interpretation of a biological reality.Biology of sex differences · 2022Article
- Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network.Frontiers in neurology · 2022Article
- CERMEP-IDB-MRXFDG: a database of 37 normal adult human brain [EJNMMI research · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We are now in a time of readily available brain imaging data. Not only are researchers now sharing data more than ever before, but additionally large-scale data collecting initiatives are underway with the vision that many future researchers will use the data for secondary analyses. Here I provide an overview of available datasets and some example use cases. Example use cases include examining individual differences, more robust findings, reproducibility-both in public input data and availability as a replication sample, and methods development. I further discuss a variety of considerations associated with using existing data and the opportunities associated with large datasets. Suggestions for further readings on general neuroimaging and topic-specific discussions are also provided.
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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.