Outputs of tedana

tedana derivatives

Filename	Content
t2sv.nii	Limited estimated T2* 3D map. The difference between the limited and full maps is that, for voxels affected by dropout where only one echo contains good data, the full map uses the single echo’s value while the limited map has a NaN.
s0v.nii	Limited S0 3D map. The difference between the limited and full maps is that, for voxels affected by dropout where only one echo contains good data, the full map uses the single echo’s value while the limited map has a NaN.
ts_OC.nii	Optimally combined time series.
dn_ts_OC.nii	Denoised optimally combined time series.
lowk_ts_OC.nii	Combined time series from rejected components.
midk_ts_OC.nii	Combined time series from “mid-k” rejected components.
hik_ts_OC.nii	High-kappa time series.
t2ss.nii	Voxel-wise T2* estimates using ascending numbers of echoes, starting with 2.
s0vs.nii	Voxel-wise S0 estimates using ascending numbers of echoes, starting with 2.
t2svG.nii	Full T2* map/time series. The difference between the limited and full maps is that, for voxels affected by dropout where only one echo contains good data, the full map uses the single echo’s value while the limited map has a NaN. Only used for optimal combination.
s0vG.nii	Full S0 map/time series. Only used for optimal combination.
comp_table_pca.txt	TEDPCA component table. A tab-delimited file with summary metrics and inclusion/exclusion information for each component from the PCA decomposition.
mepca_mix.1D	Mixing matrix (component time series) from PCA decomposition.
__meica_mix.1D	Mixing matrix (component time series) from ICA decomposition.
meica_mix.1D	Mixing matrix (component time series) from ICA decomposition. The only differences between this mixing matrix and the one above are that components may be sorted differently and signs of time series may be flipped.
betas_OC.nii	Full ICA coefficient feature set.
betas_hik_OC.nii	High-kappa ICA coefficient feature set
feats_OC2.nii	Z-normalized spatial component maps
comp_table_ica.txt	TEDICA component table. A tab-delimited file with summary metrics and inclusion/exclusion information for each component from the ICA decomposition.
veins_l0.nii	???
veins_l1.nii	???

If global signal correction is employed:

Filename	Content
T1gs.nii	Spatial global signal
glsig.1D	Time series of global signal from optimally combined data.
tsoc_orig.nii	Optimally combined time series with global signal retained.
tsoc_nogs.nii	Optimally combined time series with global signal removed.

If T1-GS correction is employed:

Filename	Content
sphis_hik.nii	T1-like effect
hik_ts_OC_T1c.nii	T1 corrected high-kappa time series by regression
dn_ts_OC_T1c.nii	T1 corrected denoised time series
betas_hik_OC_T1c.nii	T1-GS corrected high-kappa components
meica_mix_T1c.1D	T1-GS corrected mixing matrix

If dne is set to True:

Filename	Content
hik_ts_e[echo].nii	High-Kappa time series for echo number echo
midk_ts_e[echo].nii	Mid-Kappa time series for echo number echo
lowk_ts_e[echo].nii	Low-Kappa time series for echo number echo
dn_ts_e[echo].nii	Denoised time series for echo number echo

Visual reports

We’re working on it.