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

Yeatman, Jason D.; Richie-Halford, Adam; Smith, Josh K.; Keshavan, Anisha; Rokem, Ariel

doi:10.1038/s41467-018-03297-7

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

Journal Article · 05 March 2018 · Nature Communications

DOI: https://doi.org/10.1038/s41467-018-03297-7 · OSTI ID:1529919

^[1]; Richie-Halford, Adam ^[2]; Smith, Josh K. ^[3]; Keshavan, Anisha ^[4];

^[5]

Univ. of Washington, Seattle, WA (United States). Inst. for Learning & Brain Sciences and Department of Speech and Hearing Sciences
Univ. of Washington, Seattle, WA (United States). Dept. of Physics
Univ. of Washington, Seattle, WA (United States). Dept of Chemical Engineering
Univ. of Washington, Seattle, WA (United States). Inst. for Learning & Brain Sciences, Department of Speech and Hearing Sciences, and eScience Institute
Univ. of Washington, Seattle, WA (United States). eScience Institute

Human neuroscience research faces several challenges with regards to reproducibility. While scientists are generally aware that data sharing is important, it is not always clear how to share data in a manner that allows other labs to understand and reproduce published findings. Here we report a new open source tool, AFQ-Browser, that builds an interactive website as a companion to a diffusion MRI study. Because AFQ-Browser is portable—it runs in any web-browser—it can facilitate transparency and data sharing. Moreover, by leveraging new web-visualization technologies to create linked views between different dimensions of the dataset (anatomy, diffusion metrics, subject metadata), AFQ-Browser facilitates exploratory data analysis, fueling new discoveries based on previously published datasets. In an era where Big Data is playing an increasingly prominent role in scientific discovery, so will browser-based tools for exploring high-dimensional datasets, communicating scientific discoveries, aggregating data across labs, and publishing data alongside manuscripts.

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Research Organization:: Krell Institute, Ames, IA (United States)

Sponsoring Organization:: USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: FG02-97ER25308

OSTI ID:: 1529919

Journal Information:: Nature Communications, Vol. 9, Issue 1; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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