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estimate_template
* add custom smoothing * add parallel over subjects
Fixes and cleaning up
Data pre-processing, for both template estimation and TemplateICA * norm_BOLD
replaces scale_BOLD
, since now it detrends the data too. * Do not scale across space by default. Instead, scale across space only where necessary (one of the regressions in dual regression, and PCA-based operations). * Option to detrend. * Compute scale after centering and detrending.
Dual regression * Option to normalize A matrix
Template estimation * Merge estimate_template.cifti
and estimate_template.nifti
into estimate_template
* Option to denoise each scan before computing DR * If using pseudo retest data, split each subject’s scan after denoising and detrending, not before. * Option for different variance template (non-negative) * Option to obtain DR results * Return parameters, including data normalization choices. * print
and summary
for templates
TemplateICA * Merge templateICA.cifti
and templateICA.nifti
into templateICA
* Option to return DR results in estimate_template
* Option to skip dimension reduction * Option to use parallel computing for iterating over voxels. * Option to provide "xifti"
or "nifti"
objects directly * Option to provide multiple scans * For denoising: replace maxQ
with Q2_max
to simplify logic * Fix cases where time_inds
and resamp_res
are provided. * Return parameters, including data normalization choices. * Replace subject IC variance with the standard error * summary
and plot
for activations
Misc * Implement sign matching * Refine group_ICA
* Refine make_mesh
* Remove INLA required version (bring back?)
For developers * Laid some groundwork for estimating templates using >2 scans per subject: var_decomp
can handle >2 scans per subject (but need to test it!) * New code template calculation
Update functions that work with "xifti"
objects to conserve time and memory.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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