AFQ-Browser

AFQ-Browser provides interactive web-based visualization and sharing of diffusion MRI anatomical data, diffusion metrics, and subject metadata to support exploratory analysis and reproducibility in human neuroscience.


Key Features:

  • Interactive Visualization: Offers linked views that integrate anatomical data, diffusion metrics, and subject metadata for exploratory analysis of diffusion MRI datasets.
  • Data Transparency and Sharing: Enables access to results and sharing of datasets and visualizations to support interpretation and reproducibility of published findings.
  • Facilitation of New Discoveries: Links multiple dataset dimensions to reveal high-dimensional patterns and generate novel hypotheses from existing data.
  • Integration with Scientific Publications: Supports inclusion of interactive visualizations alongside manuscripts to communicate research findings.

Scientific Applications:

  • Neuroanatomy: Visualization of white matter tracts and anatomical relationships derived from diffusion MRI.
  • Clinical Research: Analysis and comparison of diffusion metrics for disease characterization and monitoring of progression.
  • Collaborative Studies: Aggregation and comparison of diffusion MRI datasets across research groups to enable multi-site analyses.

Methodology:

Creates interactive websites using web-visualization technologies and linked views to combine anatomical data, diffusion metrics, and subject metadata for exploratory analysis and data sharing.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript, Python
Added:
7/11/2018
Last Updated:
11/25/2024

Operations

Publications

Yeatman JD, Richie-Halford A, Smith JK, Keshavan A, Rokem A. A browser-based tool for visualization and analysis of diffusion MRI data. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-03297-7. PMID:29507333. PMCID:PMC5838108.

Documentation