v1.1.4

Complete release

v1.1.3

• Fix log level bug in niak_cmd

v1.1.2

• Bug fix with the 64 bit array containers
• More option to select subjects in bids datasets

target_test_niak_mnc1-aj

Target release only

v1.1.0

New in this release

• Includes a singularity image that support 64 bit array indexes in Octave.

target_test_niak_mnc1-ai

Target release only

v1.0.1

• Bug fix in the network list of the connectome report

v1.0.0

This is NIAK 1.0, including three production-ready pipelines: preprocessing of fMRI data (including attached structural MRI scan); generation of functional parcellations at the individual and group levels using a bootstrap analysis of stable clusters (BASC); Generation of connectomes and associated graph properties, as well as functional connectivity maps. Changes from the latest stable release (0.18.1) are as follows:

• Estimation of motion parameters now uses the same spatial interpolation as for the final resampling of 4D data (instead of being fixed to linear interpolation).
• Major bug fix in the BOLD-T1 registration, which was introduced in 0.17. The bug manifested itself by high failure rate on certain datasets, but had no real impact on others.
• Jupyter notebook now fully functional for running NIAK with an octave kernel.
• A new dashboard for brain maps.
• A new dashboard for the connectome pipeline, including pipeline parameters and an interactive visualization of functional connectivity maps.
• niak_glm now generates an estimate of effect size (Cohen's F2) for multivariate regression models.
• the subtype (private) pipeline now supports multiple contrast estimation, uses network labels to name the outputs, and has numerically stable tests for linear regression.
• niak_grab_folder has an improved black_list mechanism.
• niak_brick_montage is ready for production of brain montage.

v0.19.1

Complete release

v0.19.0

Complete release