ArticleBrain imaging and behavior2014
Human neuroimaging as a "Big Data" science.
Article in Brain imaging and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 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
72 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is advanced neuroimaging for neuroradiologists? A systematic review of the scientific literature of the last decade.Neuroradiology · 2016Pooled it
- Scoping review of secondary studies using the Federal Interagency of Traumatic Brain Injury Research datasets.Brain injury · 2026Article
- Resources and applications of public biomedical data.Frontiers in bioinformatics · 2026Review
- Easy-to-use and easy-to-interpret quality control of 3D gradient echo T1-weighted MR acquisition sequences for improved test-retest stability of MRI-based hippocampus volumetry.Journal of Alzheimer's disease : JAD · 2025Article
- The FAIR data point populator: collaborative FAIRification and population of FAIR data points.BMC medical informatics and decision making · 2025Article
- Data Science in Medical and Healthcare: Current Landscape.Juntendo medical journal · 2025Review
- Machine learning-based reconstruction of 2D MRI for quantitative morphometry in epilepsy.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Principles of intensive human neuroimaging.Trends in neurosciences · 2024Article
- Military-related mild traumatic brain injury: clinical characteristics, advanced neuroimaging, and molecular mechanisms.Translational psychiatry · 2023Review
- Explainable machine learning approach to predict and explain the relationship between task-based fMRI and individual differences in cognition.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Editorial: Growing up in a High-Stigma Context: An Unseen Driver of Neurodevelopment, Health, and Pathology.Journal of the American Academy of Child and Adolescent Psychiatry · 2022Article
- Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network.Frontiers in neurology · 2022Article
- Two-step clustering-based pipeline for big dynamic functional network connectivity data.Frontiers in neuroscience · 2022Article
- vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis.Frontiers in neuroinformatics · 2022Article
- Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning.Computer methods and programs in biomedicine · 2021Article
- Bridging the Brain and Data Sciences.Big data · 2021Article
- Management and Quality Control of Large Neuroimaging Datasets: Developments From the Barcelonaβeta Brain Research Center.Frontiers in neuroscience · 2021Article
- Diffusion MRI harmonization enables joint-analysis of multicentre data of patients with cerebral small vessel disease.NeuroImage. Clinical · 2021Article
- An event based topic learning pipeline for neuroimaging literature mining.Brain informatics · 2020Article
- Neurological update: neuroimaging in dementia.Journal of neurology · 2020Review
12 more citing papers are in PubMed but not listed here.
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
Abstract
The maturation of in vivo neuroimaging has led to incredible quantities of digital information about the human brain. While much is made of the data deluge in science, neuroimaging represents the leading edge of this onslaught of "big data". A range of neuroimaging databasing approaches has streamlined the transmission, storage, and dissemination of data from such brain imaging studies. Yet few, if any, common solutions exist to support the science of neuroimaging. In this article, we discuss how modern neuroimaging research represents a multifactorial and broad ranging data challenge, involving the growing size of the data being acquired; sociological and logistical sharing issues; infrastructural challenges for multi-site, multi-datatype archiving; and the means by which to explore and mine these data. As neuroimaging advances further, e.g. aging, genetics, and age-related disease, new vision is needed to manage and process this information while marshalling of these resources into novel results. Thus, "big data" can become "big" brain science.
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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.