1. Introduction
The BrainSuite Statistics Toolbox in R (bstr) is a software package developed in R that performs statistical analysis of population-level neuroimaging data processed using BrainSuite. It provides statistical tools for conducting cortical thickness analysis, tensor based morphometry, and analysis of diffusion measures.
Bstr
is cross-platform and is available on macOS, Windows,and Linux
based systems (all platforms with R support). bstr is distributed under
an open source license
(GPLv2-only). It
supports functionality for automated report generation to visualize
statistical results using R-shiny and R markdown. The volumetric
analysis report contains the cluster table, visualizations of clusters
on image slices, and shows both the unadjusted and the adjusted versions
of p-values and t statistics, respectively. The ROI analysis report
shows the demographic spreadsheet, automatic bar plots for ANOVA and
regressions, and scatter plot for correlation analyses. bstr also
exports an R markdown report that contains reproducible R commands in
both the Rmd file and in the html document. This enables complete
reproducibility of statistical results and only requires packaging the R
markdown file along with the data.
1.1. Development Team
The lead developer for bstr
is Shantanu Joshi at the
Ahmanson-Lovelace Brain Mapping Center at UCLA. The project is
supervised by David
Shattuck, with
contributions from Yeun Kim, Kayla Schroeder, and Anand
Joshi. Change
all the websites to direct home pages
The bstr
toolkit is a part of
BrainSuite, an open-source software project
that is produced and distributed as a collaborative effort led by David
Shattuck at UCLA
and Richard Leahy at the Biomedical Imaging Group at the University of
Southern California. Major contributors to the BrainSuite project
include Chitresh Bhushan, Soyoung Choi, Hanna Damasio, Justin P. Haldar,
Anand A. Joshi, Shantanu H. Joshi, Yeun Kim, Divya Varadarajan, and
Jessica L. Wisnowski.
1.2. Support
For questions or support, please email us at support@brainsuite.org. You can also submit issues to our issue tracker on Github.