|
6 | 6 | Outputs of *fMRIPrep* |
7 | 7 | --------------------- |
8 | 8 | *fMRIPrep* outputs conform to the :abbr:`BIDS (brain imaging data structure)` |
9 | | -Derivatives specification (see `BIDS Derivatives RC1`_). |
| 9 | +Derivatives specification (see `BIDS Derivatives`_, along with the |
| 10 | +upcoming `BEP 011`_ and `BEP 012`_). |
10 | 11 | *fMRIPrep* generates three broad classes of outcomes: |
11 | 12 |
|
12 | 13 | 1. **Visual QA (quality assessment) reports**: |
@@ -46,7 +47,7 @@ Derivatives of *fMRIPrep* (preprocessed data) |
46 | 47 | --------------------------------------------- |
47 | 48 | Preprocessed, or derivative, data are written to |
48 | 49 | ``<output dir>/fmriprep/sub-<subject_label>/``. |
49 | | -The `BIDS Derivatives RC1`_ specification describes the naming and metadata conventions we follow. |
| 50 | +The `BIDS Derivatives`_ specification describes the naming and metadata conventions we follow. |
50 | 51 |
|
51 | 52 | Anatomical derivatives |
52 | 53 | ~~~~~~~~~~~~~~~~~~~~~~ |
@@ -146,7 +147,7 @@ mid-thickness surface mesh:: |
146 | 147 | func/ |
147 | 148 | sub-<subject_label>_[specifiers]_space-T1w_desc-aparcaseg_dseg.nii.gz |
148 | 149 | sub-<subject_label>_[specifiers]_space-T1w_desc-aseg_dseg.nii.gz |
149 | | - sub-<subject_label>_[specifiers]_space-<space_label>_hemi-[LR].func.gii |
| 150 | + sub-<subject_label>_[specifiers]_space-<space_label>_hemi-[LR]_bold.func.gii |
150 | 151 |
|
151 | 152 | Surface output spaces include ``fsnative`` (full density subject-specific mesh), |
152 | 153 | ``fsaverage`` and the down-sampled meshes ``fsaverage6`` (41k vertices) and |
@@ -177,8 +178,8 @@ Confounds_ are saved as a :abbr:`TSV (tab-separated value)` file:: |
177 | 178 |
|
178 | 179 | sub-<subject_label>/ |
179 | 180 | func/ |
180 | | - sub-<subject_label>_[specifiers]_desc-confounds_regressors.tsv |
181 | | - sub-<subject_label>_[specifiers]_desc-confounds_regressors.json |
| 181 | + sub-<subject_label>_[specifiers]_desc-confounds_timeseries.tsv |
| 182 | + sub-<subject_label>_[specifiers]_desc-confounds_timeseries.json |
182 | 183 |
|
183 | 184 | These :abbr:`TSV (tab-separated values)` tables look like the example below, |
184 | 185 | where each row of the file corresponds to one time point found in the |
@@ -233,7 +234,7 @@ session and run in :abbr:`TSV (tab-separated value)` files - one column for each |
233 | 234 | Such tabular files may include over 100 columns of potential confound regressors. |
234 | 235 |
|
235 | 236 | .. danger:: |
236 | | - Do not include all columns of ``~_desc-confounds_regressors.tsv`` table |
| 237 | + Do not include all columns of ``~_desc-confounds_timeseries.tsv`` table |
237 | 238 | into your design matrix or denoising procedure. |
238 | 239 | Filter the table first, to include only the confounds (or components thereof) |
239 | 240 | you want to remove from your fMRI signal. |
@@ -386,7 +387,7 @@ For CompCor decompositions, entries include: |
386 | 387 | - ``VarianceExplained``: the fraction of variance explained by the component across the decomposition ROI mask. |
387 | 388 | - ``CumulativeVarianceExplained``: the total fraction of variance explained by this particular component |
388 | 389 | and all preceding components. |
389 | | - - ``Retained``: Indicates whether the component was saved in ``desc-confounds_regressors.tsv`` |
| 390 | + - ``Retained``: Indicates whether the component was saved in ``desc-confounds_timeseries.tsv`` |
390 | 391 | for use in denoising. |
391 | 392 | Entries that are not saved in the data file for denoising are still stored in metadata with the |
392 | 393 | ``dropped`` prefix. |
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