mindstorm 0.11.2

This version updates calls to Seaborn to avoid deprecation warnings.

mindstorm 0.11.1

This version fixes a bug where high-motion censored volumes could have invalid indices. This could cause an error (if a censored index went beyond the timeseries length) or incorrect censoring (if a negative censored index was included).

mindstorm 0.11.0

This version changes the output of the betaseries scripts to output to a func subdirectory.

mindstorm 0.10.1

This version fixes the version number to fix PyPI publishing.

mindstorm 0.10.0

This version adds functionality for running general linear models using Nilearn.

• Utilities for creating GLM design matrices have been added in the new glm module.
• Scripts for estimating betaseries models using the least squares–separate (LSS) approach have been added. There is a script, betaseries-bids, for running LSS models on BIDS-compliant data preprocessed using fMRIPrep, and another script, betaseries, for fitting to generic timeseries data.

mindstorm 0.9.0

This version adds support for adding significance markers to swarm bar plots and utilities for smoothing images and running FreeSurfer.

• Can now use the sig_ind input to indicate bars to mark as significant. Stars are placed above the points for each condition.
• Added smooth_susan and run_freesurfer utility scripts.

mindstorm 0.8.1

This version adds capability for adding significance markers to bar plots.

• Added statplot.plot_sig. Given two points, it will draw a bracket with a star above it.

mindstorm 0.8.0

This version revises mindstorm.statplot.plot_swarm_bar to make it easier to customize properties of the points, bars, and error bars.

• The plot_swarm_bar function now takes point_kws and bar_kws arguments to set arguments for point and bar plots, respectively.
• The capsize input has been removed. Set this using bar_kws={'capsize': mycapsize} instead.

mindstorm 0.7.0

This version adds a statplot module for statistical visualization.

• Added statplot.plot_swarm_bar for visualizing the mean of one or more conditions along with 95% confidence intervals and the individual points in each condition using a swarm plot or strip plot. Generally supports the various options for Seaborn bar plots, such as plotting bars in different hues and creating groups of bars.

mindstorm 0.6.0

This version makes visualization of dissimilarity data more flexible.

• Changes plotting functions to include an optional embedding input. This can be any operation that supports the scikit-learn API, such as other dimensionality reduction techniques like tSNE.
• Renames some plotting functions to remove mds, as they now also support other dimensionality reduction techniques.
• Automatically adjusts the plot orientation for consistency across runs.