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A browser-based tool for visualization and analysis of diffusion MRI data.

Jason D Yeatman1,2, Adam Richie-Halford3, Josh K Smith4

  • 1Institute for Learning & Brain Sciences, University of Washington, Portage Bay Building, Box 357988, Seattle, WA, 98195, USA. jyeatman@uw.edu.

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Reproducibility in human neuroscience is challenging. AFQ-Browser is an open-source tool that creates interactive websites for diffusion MRI studies, enhancing data sharing and exploratory analysis for better scientific discovery.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Medical Imaging

Background:

  • Reproducibility is a significant challenge in human neuroscience research.
  • Current data sharing practices often lack clarity, hindering replication of findings.
  • Effective tools are needed to facilitate understanding and reuse of complex neuroimaging datasets.

Purpose of the Study:

  • To introduce AFQ-Browser, a novel open-source tool designed to improve data sharing and reproducibility in diffusion MRI studies.
  • To enable interactive exploration and visualization of diffusion MRI data, linking anatomical information, diffusion metrics, and subject metadata.
  • To foster transparency and facilitate new discoveries from existing datasets.

Main Methods:

  • Development of AFQ-Browser, an open-source software tool.
  • Creation of a portable, web-browser-based interactive website companion for diffusion MRI studies.
  • Leveraging web-visualization technologies for linked data views.

Main Results:

  • AFQ-Browser provides a portable, interactive website for diffusion MRI studies.
  • The tool facilitates transparency and data sharing across research labs.
  • Linked views enable comprehensive exploratory data analysis, connecting anatomy, diffusion metrics, and subject metadata.

Conclusions:

  • AFQ-Browser enhances reproducibility and transparency in neuroscience research.
  • Browser-based tools are crucial for exploring high-dimensional Big Data in science.
  • AFQ-Browser supports data aggregation, communication of discoveries, and publishing data alongside manuscripts.