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Related Concept Videos

Brain Imaging01:14

Brain Imaging

362
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
362

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Transauricular Vagus Nerve Stimulation and Electroencephalographic Assessment in Disorders of Consciousness
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BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure.

Marcel Peter Zwiers1, Stefano Moia2, Robert Oostenveld1,3

  • 1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.

Frontiers in Neuroinformatics
|January 31, 2022
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Summary
This summary is machine-generated.

BIDScoin simplifies neuroimaging data conversion to the Brain Imaging Data Structure (BIDS) standard. This user-friendly tool requires no programming skills, facilitating broader adoption of BIDS for brain research.

Keywords:
BIDSGUIPythonconversiondata sharingneuroimagingopen-source softwareplugin

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Data Science

Background:

  • Shared neuroimaging data analysis is crucial for understanding brain function and anatomy.
  • The Brain Imaging Data Structure (BIDS) standard enhances data organization and sharing.
  • Existing tools for BIDS conversion often necessitate programming expertise or are highly specific.

Purpose of the Study:

  • Introduce BIDScoin, a novel, cross-platform software tool.
  • Provide a user-friendly graphical interface (GUI) for BIDS conversion.
  • Facilitate the adoption and utilization of the BIDS standard.

Main Methods:

  • Developed BIDScoin as a flexible and extensible converter.
  • Implemented a graphical user interface (GUI) for ease of use.
  • Designed BIDScoin to be cross-platform and support plugin architecture.

Main Results:

  • BIDScoin offers a programming-free solution for converting neuroimaging data to BIDS.
  • The software includes a tutorial dataset for demonstration and learning.
  • BIDScoin supports plugin functionality for extended capabilities.

Conclusions:

  • BIDScoin lowers the barrier to entry for using the BIDS standard.
  • The tool promotes community-driven efforts in neuroimaging data standardization.
  • BIDScoin is freely available as open-source software.