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ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis.

Guohao Zhang1, Peter Kochunov2, Elliot Hong3

  • 1Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, 21250, MD, USA.

BMC Bioinformatics
|June 16, 2017
PubMed
Summary

ENIGMA-Viewer is a new tool that helps brain scientists visualize complex meta-analysis results. It links statistical data with brain structures, improving the understanding of neuroimaging genetics research.

Keywords:
Comparative studiesDiffusion tensor imagingEffect sizeInteractive visualizationMeta-analysis

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Area of Science:

  • Neuroscience
  • Neuroimaging Genetics
  • Data Visualization

Background:

  • Global brain research collaborations like ENIGMA generate large datasets.
  • Effective communication of complex brain research findings is crucial.
  • Traditional visualization methods struggle to represent brain structure complexity.

Purpose of the Study:

  • To introduce ENIGMA-Viewer, an interactive web-based tool.
  • To facilitate comparison of meta-analysis statistics across studies.
  • To enhance understanding of brain research results through visualization.

Main Methods:

  • Developed an interactive, web-based visualization tool.
  • Integrated focus+context and visual data fusion principles.
  • Demonstrated usability with case studies using recent research data.

Main Results:

  • ENIGMA-Viewer enables comparison of effect sizes on standardized regions-of-interest.
  • The tool effectively links statistical data with brain structures.
  • Case studies illustrate the tool's capability in presenting research findings.

Conclusions:

  • ENIGMA-Viewer enhances communication of brain research findings.
  • Linking statistics and structures provides deeper data insights.
  • The open-source tool is accessible online and via NITRC.