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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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...
835

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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Sharing brain mapping statistical results with the neuroimaging data model.

Camille Maumet1, Tibor Auer2, Alexander Bowring1

  • 1WMG, University of Warwick, Coventry CV4 7AL, UK.

Scientific Data
|December 7, 2016
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Summary
This summary is machine-generated.

Neuroimaging studies often share limited data, hindering reproducibility. We introduce NIDM-Results, a standardized format for sharing statistical neuroimaging results and data, improving transparency and future research.

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Area of Science:

  • Neuroimaging
  • Data Science
  • Scientific Reproducibility

Background:

  • Limited sharing of neuroimaging data and metadata impedes research reproducibility and meta-analyses.
  • Current practices result in a loss of valuable information from fMRI studies.
  • Lack of standardized formats hinders data integration and comparison across studies.

Purpose of the Study:

  • Introduce NIDM-Results, a machine-readable format specification for neuroimaging statistical results.
  • To enhance transparency and facilitate reproducibility in neuroimaging research.
  • To provide a unified representation for mass univariate analyses.

Main Methods:

  • Developed NIDM-Results, a format specification for neuroimaging statistical results.
  • Ensured the format supports a level of detail consistent with best practices.
  • Created tools for exporting NIDM-Results from SPM and FSL software.

Main Results:

  • NIDM-Results offers a standardized, platform-independent format for neuroimaging results.
  • The format allows detailed reporting of methods and statistical outcomes.
  • NeuroVault repository supports the import of NIDM-Results archives.

Conclusions:

  • NIDM-Results promotes greater transparency and reproducibility in neuroimaging.
  • Standardized reporting facilitates more robust future meta-analyses.
  • The format is accessible and supported by widely used neuroimaging software.