[FIX] find confounds even when BIDS derivatives bold files contain res or den entities

.pre-commit-config.yaml

@@ -38,7 +38,6 @@ files: |
 
 exclude: |
     (?x)^(
-        doc/changes/(names|latest).rst
         | doc/glm/first_level_model\\.rst
         | introduction\\.rst
         | maintenance\\.rst

doc/changes/latest.rst

@@ -11,6 +11,7 @@ NEW
 Fixes
 -----
 
+- Fix bug in :func:`~glm.first_level.first_level_from_bids` that returned no confound files if the corresponding bold files contained derivatives BIDS entities (:gh:`3742` by `Rémi Gau`_).
 - :bdg-dark:`Code` Fix bug where the `cv_params_` attribute of fitter Decoder objects sometimes had missing entries if `grid_param` is a sequence of dicts with different keys (:gh:`3733` by `Michelle Wang`_).
 
 Enhancements

nilearn/_utils/data_gen.py

@@ -1399,6 +1399,11 @@ def _write_bids_derivative_func(
 
     shape = [n_voxels, n_voxels, n_voxels, n_time_points]
 
+    entities_to_include = [
+        *_bids_entities()["raw"],
+        *_bids_entities()["derivatives"]
+    ]
+
     for space in ("MNI", "T1w"):
         for desc in ("preproc", "fmriprep"):
             # Only space 'T1w' include both descriptions.
@@ -1408,10 +1413,6 @@ def _write_bids_derivative_func(
             fields["entities"]["space"] = space
             fields["entities"]["desc"] = desc
 
-            entities_to_include = [
-                *_bids_entities()["raw"], *_bids_entities()["derivatives"]
-            ]
-
             bold_path = func_path / _create_bids_filename(
                 fields=fields, entities_to_include=entities_to_include
             )

nilearn/glm/first_level/first_level.py

@@ -1334,16 +1334,9 @@ def _get_confounds(
         List of fullpath to the confounds.tsv files
 
     """
-    supported_filters = (
-        _bids_entities()["raw"]
-        + _bids_entities()["derivatives"]
-    )
-    # confounds use a desc-confounds,
-    # so we must remove desc if it was passed as a filter
-    supported_filters.remove("desc")
     filters = _make_bids_files_filter(
         task_label=task_label,
-        supported_filters=supported_filters,
+        supported_filters=_bids_entities()["raw"],
         extra_filter=img_filters,
         verbose=verbose,
     )

nilearn/glm/tests/test_first_level.py

@@ -1112,10 +1112,11 @@ def test_first_level_from_bids(tmp_path,
         slice_time_ref=None,
     )
 
-    assert len(models) == n_sub
-    assert len(models) == len(m_imgs)
-    assert len(models) == len(m_events)
-    assert len(models) == len(m_confounds)
+    _check_output_first_level_from_bids(n_sub,
+                                        models,
+                                        m_imgs,
+                                        m_events,
+                                        m_confounds)
 
     n_imgs_expected = n_ses * n_runs[task_index]
 
@@ -1144,10 +1145,11 @@ def test_first_level_from_bids_select_one_run_per_session(bids_dataset):
         slice_time_ref=None,
     )
 
-    assert len(models) == n_sub
-    assert len(models) == len(m_imgs)
-    assert len(models) == len(m_events)
-    assert len(models) == len(m_confounds)
+    _check_output_first_level_from_bids(n_sub,
+                                        models,
+                                        m_imgs,
+                                        m_events,
+                                        m_confounds)
 
     n_imgs_expected = n_ses
     assert len(m_imgs[0]) == n_imgs_expected
@@ -1165,10 +1167,11 @@ def test_first_level_from_bids_select_all_runs_of_one_session(bids_dataset):
         slice_time_ref=None,
     )
 
-    assert len(models) == n_sub
-    assert len(models) == len(m_imgs)
-    assert len(models) == len(m_events)
-    assert len(models) == len(m_confounds)
+    _check_output_first_level_from_bids(n_sub,
+                                        models,
+                                        m_imgs,
+                                        m_events,
+                                        m_confounds)
 
     n_imgs_expected = n_runs[0]
     assert len(m_imgs[0]) == n_imgs_expected
@@ -1217,13 +1220,36 @@ def test_first_level_from_bids_several_labels_per_entity(tmp_path, entity):
         img_filters=[("desc", "preproc"), (entity, "A")],
         slice_time_ref=None,
     )
+
+    _check_output_first_level_from_bids(n_sub,
+                                        models,
+                                        m_imgs,
+                                        m_events,
+                                        m_confounds)
+    n_imgs_expected = n_ses * n_runs[0]
+    assert len(m_imgs[0]) == n_imgs_expected
+
+
+def _check_output_first_level_from_bids(n_sub,
+                                        models,
+                                        m_imgs,
+                                        m_events,
+                                        m_confounds):
     assert len(models) == n_sub
+    assert all(isinstance(model, FirstLevelModel) for model in models)
     assert len(models) == len(m_imgs)
+    for imgs in m_imgs:
+        assert isinstance(imgs, list)
+        assert all(Path(img_).exists() for img_ in imgs)
     assert len(models) == len(m_events)
+    for events in m_events:
+        assert isinstance(events, list)
+        assert all(isinstance(event_, pd.DataFrame) for event_ in events)
     assert len(models) == len(m_confounds)
-
-    n_imgs_expected = n_ses * n_runs[0]
-    assert len(m_imgs[0]) == n_imgs_expected
+    for confounds in m_confounds:
+        assert isinstance(confounds, list)
+        assert all(isinstance(confound_, pd.DataFrame)
+                   for confound_ in confounds)
 
 
 def test_first_level_from_bids_with_subject_labels(bids_dataset):

nilearn/plotting/tests/test_matrix_plotting.py

@@ -96,7 +96,7 @@ def test_sanitize_reorder_error(reorder):
         else:
             param_to_print.append(str(item))
     with pytest.raises(ValueError,
-                       match=("Parameter reorder needs to be one of:\n"
+                       match=("Parameter reorder needs to be one of:\\n"
                               f"{', '.join(param_to_print)}.")):
         _sanitize_reorder(reorder)
 

pyproject.toml

@@ -181,5 +181,5 @@ doctest_optionflags = "NORMALIZE_WHITESPACE ELLIPSIS"
 junit_family = "xunit2"
 
 [tool.codespell]
-skip = "./.git,plotly-gl3d-latest.min.js,jquery.min.js,localizer_behavioural.tsv,.mypy_cache,env,venv"
+skip = "./.git,plotly-gl3d-latest.min.js,jquery.min.js,localizer_behavioural.tsv,.mypy_cache,env,venv,./doc/auto_examples"
 ignore-words = ".github/codespell_ignore_words.txt"