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- Bug fix with the 64 bit array containers
- More option to select subjects in bids datasets
New in this release
- Includes a singularity image that support 64 bit array indexes in Octave.
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_glmnow generates an estimate of effect size (Cohen's F2) for multivariate regression models.
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_folderhas an improved
niak_brick_montageis ready for production of brain montage.