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.