dual_reg_parc
>
rather than
abs >
u
and z
for activtions, rather than
gamma
?
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.