tedana.io
.writeresults¶
-
writeresults
(ts, mask, comptable, mmix, n_vols, fixed_seed, acc, rej, midk, empty, ref_img)[source]¶ Denoises ts and saves all resulting files to disk
Parameters: - ts ((S x T) array_like) – Time series to denoise and save to disk
- mask ((S,) array_like) – Boolean mask array
- comptable ((N x 5) array_like) – Array with columns denoting (1) index of component, (2) Kappa score of component, (3) Rho score of component, (4) variance explained by component, and (5) normalized variance explained by component
- mmix ((C x T) array_like) – Mixing matrix for converting input data to component space, where C is components and T is the same as in data
- n_vols (
int
) – Number of volumes in original time series - fixed_seed (
int
) – Integer value used in seeding ICA - acc (
list
) – Indices of accepted (BOLD) components in mmix - rej (
list
) – Indices of rejected (non-BOLD) components in mmix - midk (
list
) – Indices of mid-K (questionable) components in mmix - empty (
list
) – Indices of ignored components in mmix - 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 ts_OC.nii Optimally combined 4D time series. hik_ts_OC.nii High-Kappa time series. Generated by tedana.utils.io.write_split_ts()
.midk_ts_OC.nii Mid-Kappa time series. Generated by tedana.utils.io.write_split_ts()
.low_ts_OC.nii Low-Kappa time series. Generated by tedana.utils.io.write_split_ts()
.dn_ts_OC.nii Denoised time series. Generated by tedana.utils.io.write_split_ts()
.betas_OC.nii Full ICA coefficient feature set. betas_hik_OC.nii Denoised ICA coefficient feature set. feats_OC2.nii Z-normalized spatial component maps. Generated by tedana.utils.io.writefeats()
.comp_table.txt Component table. Generated by tedana.utils.io.writect()
.