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brain imaging data structure  (INCF)

 
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    INCF brain imaging data structure
    State of population of selected <t> data </t> repositories 2014 vs. 2023.
    Brain Imaging Data Structure, supplied by INCF, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/brain+imaging+data+structure/brain+imaging+data+structure/pmc10796549-182-38-49
    Average 90 stars, based on 1 article reviews
    brain imaging data structure - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR"

    Article Title: The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR

    Journal: Frontiers in Neuroinformatics

    doi: 10.3389/fninf.2023.1276407

    State of population of selected data repositories 2014 vs. 2023.
    Figure Legend Snippet: State of population of selected data repositories 2014 vs. 2023.

    Techniques Used: Imaging, Functional Assay, Optical Imaging, Electron Microscopy


    Figure Legend Snippet:

    Techniques Used: Microscopy, Imaging, Computed Tomography, Functional Assay, Magnetic Resonance Imaging, Positron Emission Tomography, Activity Assay, Single Photon Emission Computed Tomography

    Related Articles

    Imaging:

    Article Title: Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group
    Article Snippet: .. The INCF (International Neuroinformatics Coordinating Facility) Standards for Data Sharing Neuroimaging Task Force the Brain Imaging Data Structure ( http://bids.neuroimaging.io/ ) to advance standard organisation and descriptions of data files, and the Neuroimaging Data Model ( http://nidm.nidash.org/ ) for data provenance tracking, but ongoing work is needed around developing community consensus and adoption of standards ( Bjaalie and Grillner, 2007 ). ..

    Article Title: Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group
    Article Snippet: .. Standards for sharing The INCF (International Neuroinformatics Coordinating Facility) Standards for Data Sharing Neuroimaging Task Force the Brain Imaging Data Structure ( http://bids.neuroimaging.io/ ) to advance standard organisation and descriptions of data files, and the Neuroimaging Data Model ( http://nidm.nidash.org/ ) for data provenance tracking, but ongoing work is needed around developing community consensus and adoption of standards ( Bjaalie and Grillner, 2007 ). ..

    Article Title: Brainhack: Developing a culture of open, inclusive, community-driven neuroscience.
    Article Snippet: For example, many projects and trainings use DataLad (https://www. datalad.org/), a tool that not only lets participants version-control their own data but also helps them find, access, share, and work with increasingly large publicly available datasets. .. Similarly, a growing number of projects build on the Brain Imaging Data Structure (BIDS; https://bids. neuroimaging.io/; Gorgolewski et al., 2016), a community standard for the organization of brain imaging data and metadata founded with the International Neuroinformatics Coordinating Facility (INCF; https://www.incf.org/). ..

    Article Title: The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR
    Article Snippet: .. The INCF was created to help with this process of standardization and produced some early successes, e.g., the Waxholm space for registration of mouse and rat brain data ( ; ), the Neuroimaging Data Model ( ) the Brain Imaging Data Structure ( ) were produced with support from INCF. ..

    Article Title: The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
    Article Snippet: .. Work on the Brain Imaging Data Structure began at a meeting of the INCF Neuroimaging Data Sharing Task Force ( wiki.incf.org/mediawiki/index.php/Neuroimaging_Task_Force ) held at Stanford University on January 27–30th 2015. ..

    Produced:

    Article Title: The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR
    Article Snippet: .. The INCF was created to help with this process of standardization and produced some early successes, e.g., the Waxholm space for registration of mouse and rat brain data ( ; ), the Neuroimaging Data Model ( ) the Brain Imaging Data Structure ( ) were produced with support from INCF. ..



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    Image Search Results


    Summarized demographics, pathological type, distribution, and volumes.

    Journal: Human Brain Mapping

    Article Title: Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

    doi: 10.1002/hbm.26662

    Figure Lengend Snippet: Summarized demographics, pathological type, distribution, and volumes.

    Article Snippet: All acquired images were converted to the brain imaging data structure (BIDS) (Gorgolewski et al., ) format using the KU Leuven Neuroimaging suite (KUL_NIS) ( KULeuven Neuro Imaging Suite (KUL_NIS) , 2018/ ) ( https://github.com/treanus/KUL_NIS ) and dcm2bids (Bedetti et al., ).

    Techniques:

    Schematic representation of the data preprocessing and analysis workflow used to compare different tractography results to intraoperative mapping outcome. BIDS, brain imaging data structure; DSC, dice similarity coefficient; DTI, diffusion tensor imaging; FACT, fiber assignment by continuous tracking; JI, Jaccard index; KUL_FWT, KU Leuven fun with tracts; KUL_NIS, KU Leuven neuroimaging suite; KUL_VBG, KU Leuven virtual brain grafting; MRI, magnetic resonance imaging.

    Journal: Human Brain Mapping

    Article Title: Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

    doi: 10.1002/hbm.26662

    Figure Lengend Snippet: Schematic representation of the data preprocessing and analysis workflow used to compare different tractography results to intraoperative mapping outcome. BIDS, brain imaging data structure; DSC, dice similarity coefficient; DTI, diffusion tensor imaging; FACT, fiber assignment by continuous tracking; JI, Jaccard index; KUL_FWT, KU Leuven fun with tracts; KUL_NIS, KU Leuven neuroimaging suite; KUL_VBG, KU Leuven virtual brain grafting; MRI, magnetic resonance imaging.

    Article Snippet: All acquired images were converted to the brain imaging data structure (BIDS) (Gorgolewski et al., ) format using the KU Leuven Neuroimaging suite (KUL_NIS) ( KULeuven Neuro Imaging Suite (KUL_NIS) , 2018/ ) ( https://github.com/treanus/KUL_NIS ) and dcm2bids (Bedetti et al., ).

    Techniques: Imaging, Diffusion-based Assay, Magnetic Resonance Imaging

    State of population of selected data repositories 2014 vs. 2023.

    Journal: Frontiers in Neuroinformatics

    Article Title: The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR

    doi: 10.3389/fninf.2023.1276407

    Figure Lengend Snippet: State of population of selected data repositories 2014 vs. 2023.

    Article Snippet: The INCF was created to help with this process of standardization and produced some early successes, e.g., the Waxholm space for registration of mouse and rat brain data ( ; ), the Neuroimaging Data Model ( ) the Brain Imaging Data Structure ( ) were produced with support from INCF.

    Techniques: Imaging, Functional Assay, Optical Imaging, Electron Microscopy

    Journal: Frontiers in Neuroinformatics

    Article Title: The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR

    doi: 10.3389/fninf.2023.1276407

    Figure Lengend Snippet:

    Article Snippet: The INCF was created to help with this process of standardization and produced some early successes, e.g., the Waxholm space for registration of mouse and rat brain data ( ; ), the Neuroimaging Data Model ( ) the Brain Imaging Data Structure ( ) were produced with support from INCF.

    Techniques: Microscopy, Imaging, Computed Tomography, Functional Assay, Magnetic Resonance Imaging, Positron Emission Tomography, Activity Assay, Single Photon Emission Computed Tomography