ArticleScientific data2019
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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
47 citing papers in PubMed.
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- Memory retrieval effects as a function of differences in phenomenal experience.Brain imaging and behavior · 2024Article
- Associative white matter tracts selectively predict sensorimotor learning.Communications biology · 2024Article
- Examining the reliability of brain age algorithms under varying degrees of participant motion.Brain informatics · 2024Article
- Structural volumetric and Periodic Table DTI patterns in Complex Normal Pressure Hydrocephalus-Toward the principles of a translational taxonomy.Frontiers in human neuroscience · 2024Article
- Rehabilitating homonymous visual field deficits: white matter markers of recovery-stage 1 registered report.Brain communications · 2024Article
- Rehabilitating homonymous visual field deficits: white matter markers of recovery-stage 2 registered report.Brain communications · 2024Article
- Tractometry of the Human Connectome Project: resources and insights.Frontiers in neuroscience · 2024Article
- Article
- CHIASM-Net: Artificial Intelligence-Based Direct Identification of Chiasmal Abnormalities in Albinism.Investigative ophthalmology & visual science · 2023Article
- BrainForge: an online data analysis platform for integrative neuroimaging acquisition, analysis, and sharing.Concurrency and computation : practice & experience · 2023Article
- Article
- Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power.Human brain mapping · 2023Article
- Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer.Brain informatics · 2023Article
- Impact of Socioeconomic Status on Amygdala and Hippocampus Subdivisions in Children and Adolescents.bioRxiv : the preprint server for biology · 2023Article
- Neurodesk: An accessible, flexible, and portable data analysis environment for reproducible neuroimaging.Research square · 2023Article
- SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform.Frontiers in neurology · 2023Article
- NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data.Frontiers in neuroinformatics · 2023Article
- Neuroimaging data repositories and AI-driven healthcare-Global aspirations vs. ethical considerations in machine learning models of neurological disease.Frontiers in artificial intelligence · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-object-identifier. The data derivatives were generated using modern diffusion-weighted magnetic resonance imaging data (dMRI) with diverse properties of resolution and signal-to-noise ratio. In addition to the data, we publish all processing pipelines (also referred to as open cloud services). The pipelines utilize modern methods for neuroimaging data processing (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, and structural connectome construction). The O3D open services can allow cognitive and clinical neuroscientists to run the connectome mapping algorithms on new, user-uploaded, data. Open source code implementing all O3D services is also provided to allow computational and computer scientists to reuse and extend the processing methods. Publishing both data-derivatives and integrated processing pipeline promotes practices for scientific reproducibility and data upcycling by providing open access to the research assets for utilization by multiple scientific communities.
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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.