tedana.gscontrol
.gscontrol_mmix¶
-
gscontrol_mmix
(optcom_ts, mmix, mask, comptable, ref_img)[source]¶ Perform global signal regression.
Parameters: - optcom_ts ((S x T) array_like) – Optimally combined time series data
- mmix ((T x C) array_like) – Mixing matrix for converting input data to component space, where C is components and T is the same as in optcom_ts
- mask ((S,) array_like) – Boolean mask array
- comptable ((C x X)
pandas.DataFrame
) – Component metric table. One row for each component, with a column for each metric. The index should be the component number. - ref_img (
str
or img_like) – Reference image to dictate how outputs are saved to disk
Notes
This function writes out several files:
Filename Content sphis_hik.nii T1-like effect hik_ts_OC_T1c.nii T1-corrected BOLD (high-Kappa) time series dn_ts_OC_T1c.nii Denoised version of T1-corrected time series betas_hik_OC_T1c.nii T1 global signal-corrected components meica_mix_T1c.1D T1 global signal-corrected mixing matrix