REL: 24.1.0

.pre-commit-config.yaml

@@ -1,19 +1,25 @@
 exclude: ".*/data/.*"
 repos:
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
-    hooks:
-      - id: trailing-whitespace
-        exclude: '.*\.svg'
-      - id: end-of-file-fixer
-        exclude: '.*\.svg'
-      - id: check-yaml
-      - id: check-json
-      - id: check-toml
-      - id: check-added-large-files
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.6.5
-    hooks:
-      - id: ruff
-        args: [ --fix ]
-      - id: ruff-format
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v4.4.0
+  hooks:
+  - id: trailing-whitespace
+    exclude: '.*\.svg'
+  - id: end-of-file-fixer
+    exclude: '.*\.svg'
+  - id: check-yaml
+  - id: check-json
+  - id: check-toml
+  - id: check-added-large-files
+- repo: https://github.com/astral-sh/ruff-pre-commit
+  rev: v0.6.5
+  hooks:
+  - id: ruff
+    args: [--fix]
+  - id: ruff-format
+- repo: https://github.com/codespell-project/codespell
+  rev: v2.3.0
+  hooks:
+  - id: codespell
+    additional_dependencies:
+    - tomli

CHANGES.md

@@ -1,3 +1,22 @@
+24.1.0 (October 02, 2024)
+=========================
+This new minor release includes a few bug fixes, such as excluding MCRIBS from surface reconstruction without a precomputed segmentation and ensuring generated derivatives are not masked, as well as improvements to reporting.
+
+### Enhancements
+  * ENH: Add boilerplate, errors to report (#403)
+  * ENH: Add age to session report (#402)
+  * ENH: Improvements to age parsing (#395, #398)
+
+### Bug Fixes
+  * FIX: MCRIBS auto surface reconstruction logic (#399)
+  * FIX: Do not force masking of anatomicals when using `--derivatives` (#400)
+
+### Internals / Maintenance
+  * MAINT: Revisit warnings filter (#396)
+  * MAINT: Automate testing with tox (#404)
+  * MAINT: Port over parser arguments and tests from fmriprep (#401)
+
+
 24.0.1 (August 31, 2024)
 ========================
 A patch release with a fix for the BOLD T2\* workflow. The command line argument  `--me-t2s-fit-method` was added for finer control when processing multi-echo datasets.

nibabies/conftest.py

@@ -2,44 +2,36 @@
 
 import json
 from pathlib import Path
-from tempfile import TemporaryDirectory
+from shutil import copytree
 
 import nibabel as nb
 import numpy as np
 import pytest
 
 from nibabies.data import load as load_data
 
-FILES = (
-    'functional.nii',
-    'anatomical.nii',
-    'func.dlabel.nii',
-    'func.dtseries.nii',
-    'epi.nii',
-    'T1w.nii',
-    'func_to_struct.mat',
-    'atlas.nii',
-    'label_list.txt',
-    'sub-01_run-01_echo-1_bold.nii.gz',
-    'sub-01_run-01_echo-2_bold.nii.gz',
-    'sub-01_run-01_echo-3_bold.nii.gz',
-)
-
-
-@pytest.fixture(scope='package')
-def data_dir():
-    with TemporaryDirectory() as tmpdir:
-        tmp_path = Path(tmpdir)
-        for fname in FILES:
-            Path.touch(tmp_path / fname)
-        yield tmp_path
+try:
+    from importlib.resources import files as ir_files
+except ImportError:  # PY<3.9
+    from importlib_resources import files as ir_files
+
+
+def copytree_or_skip(source, target):
+    data_dir = ir_files('nibabies') / source
+    if not data_dir.exists():
+        pytest.skip(f'Cannot chdir into {data_dir!r}. Probably in a zipped distribution.')
+
+    try:
+        copytree(data_dir, target / data_dir.name)
+    except Exception:  # noqa: BLE001
+        pytest.skip(f'Cannot copy {data_dir!r} into {target / data_dir.name}. Probably in a zip.')
 
 
 @pytest.fixture(autouse=True)
-def _populate_namespace(doctest_namespace, data_dir):
-    doctest_namespace['data_dir'] = data_dir
-    doctest_namespace['test_data'] = load_data.cached('../tests/data')
-    doctest_namespace['Path'] = Path
+def _populate_namespace(doctest_namespace, tmp_path):
+    doctest_namespace['copytree_or_skip'] = copytree_or_skip
+    doctest_namespace['testdir'] = tmp_path
+    doctest_namespace['datadir'] = load_data()
 
 
 @pytest.fixture

nibabies/data/boilerplate.bib

@@ -391,3 +391,29 @@ @article{mcribs
 	title = {Parcellation of the neonatal cortex using Surface-based Melbourne Children's Regional Infant Brain atlases (M-{CRIB}-S)},
 	journal = {Scientific Reports}
 }
+
+@article{patriat_improved_2017,
+    title = {An improved model of motion-related signal changes in {fMRI}},
+    volume = {144, Part A},
+    issn = {1053-8119},
+    url = {https://www.sciencedirect.com/science/article/pii/S1053811916304360},
+    doi = {10.1016/j.neuroimage.2016.08.051},
+    abstract = {Head motion is a significant source of noise in the estimation of functional connectivity from resting-state functional MRI (rs-fMRI). Current strategies to reduce this noise include image realignment, censoring time points corrupted by motion, and including motion realignment parameters and their derivatives as additional nuisance regressors in the general linear model. However, this nuisance regression approach assumes that the motion-induced signal changes are linearly related to the estimated realignment parameters, which is not always the case. In this study we develop an improved model of motion-related signal changes, where nuisance regressors are formed by first rotating and translating a single brain volume according to the estimated motion, re-registering the data, and then performing a principal components analysis (PCA) on the resultant time series of both moved and re-registered data. We show that these “Motion Simulated (MotSim)” regressors account for significantly greater fraction of variance, result in higher temporal signal-to-noise, and lead to functional connectivity estimates that are less affected by motion compared to the most common current approach of using the realignment parameters and their derivatives as nuisance regressors. This improvement should lead to more accurate estimates of functional connectivity, particularly in populations where motion is prevalent, such as patients and young children.},
+    urldate = {2017-01-18},
+    journal = {NeuroImage},
+    author = {Patriat, Rémi and Reynolds, Richard C. and Birn, Rasmus M.},
+    month = jan,
+    year = {2017},
+    keywords = {Motion, Correction, Methods, Rs-fMRI},
+    pages = {74--82},
+}
+
+@article{templateflow,
+    author = {Ciric, R. and Thompson, William H. and Lorenz, R. and Goncalves, M. and MacNicol, E. and Markiewicz, C. J. and Halchenko, Y. O. and Ghosh, S. S. and Gorgolewski, K. J. and Poldrack, R. A. and Esteban, O.},
+    title = {{TemplateFlow}: {FAIR}-sharing of multi-scale, multi-species brain models},
+    volume = {19},
+    pages = {1568--1571},
+    year = {2022},
+    doi = {10.1038/s41592-022-01681-2},
+    journal = {Nature Methods}
+}

nibabies/interfaces/conftest.py

@@ -0,0 +1,61 @@
+from pathlib import Path
+from shutil import copytree
+from tempfile import TemporaryDirectory
+
+import pytest
+
+try:
+    from contextlib import chdir as _chdir
+except ImportError:  # PY310
+    import os
+    from contextlib import contextmanager
+
+    @contextmanager  # type: ignore
+    def _chdir(path):
+        cwd = os.getcwd()
+        os.chdir(path)
+        try:
+            yield
+        finally:
+            os.chdir(cwd)
+
+
+DATA_FILES = (
+    'functional.nii',
+    'anatomical.nii',
+    'func.dlabel.nii',
+    'func.dtseries.nii',
+    'epi.nii',
+    'T1w.nii',
+    'func_to_struct.mat',
+    'atlas.nii',
+    'label_list.txt',
+    'sub-01_run-01_echo-1_bold.nii.gz',
+    'sub-01_run-01_echo-2_bold.nii.gz',
+    'sub-01_run-01_echo-3_bold.nii.gz',
+)
+
+
+@pytest.fixture(scope='package')
+def data_dir():
+    with TemporaryDirectory() as tmpdir:
+        tmp_path = Path(tmpdir)
+        for fname in DATA_FILES:
+            Path.touch(tmp_path / fname)
+        yield tmp_path
+
+
+@pytest.fixture(autouse=True)
+def _docdir(data_dir, request, tmp_path):
+    # Trigger ONLY for the doctests.
+    doctest_plugin = request.config.pluginmanager.getplugin('doctest')
+    if isinstance(request.node, doctest_plugin.DoctestItem):
+        copytree(data_dir, tmp_path, dirs_exist_ok=True)
+
+        # Chdir only for the duration of the test.
+        with _chdir(tmp_path):
+            yield
+
+    else:
+        # For normal tests, we have to yield, since this is a yield-fixture.
+        yield

nibabies/interfaces/workbench.py

@@ -164,16 +164,16 @@ class CiftiCreateDenseFromTemplate(WBCommand):
 
     >>> from nibabies.interfaces import workbench as wb
     >>> frmtpl = wb.CiftiCreateDenseFromTemplate()
-    >>> frmtpl.inputs.in_file = data_dir / "func.dtseries.nii"
+    >>> frmtpl.inputs.in_file = testdir / "func.dtseries.nii"
     >>> frmtpl.inputs.series = True
     >>> frmtpl.inputs.series_step = 0.8
     >>> frmtpl.inputs.series_start = 0
     >>> frmtpl.cmdline  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
     'wb_command -cifti-create-dense-from-template .../func.dtseries.nii \
     template_func.dtseries.nii -series 0.8 0.0'
 
-    >>> frmtpl.inputs.volume = [("OTHER", data_dir / 'functional.nii', True), \
-        ("PUTAMEN_LEFT", data_dir / 'functional.nii')]
+    >>> frmtpl.inputs.volume = [("OTHER", testdir / 'functional.nii', True), \
+        ("PUTAMEN_LEFT", testdir / 'functional.nii')]
     >>> frmtpl.cmdline  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
     'wb_command -cifti-create-dense-from-template .../func.dtseries.nii \
     template_func.dtseries.nii -series 0.8 0.0 \
@@ -330,8 +330,8 @@ class CiftiCreateDenseTimeseries(WBCommand):
 
     >>> from nibabies.interfaces.workbench import CiftiCreateDenseTimeseries
     >>> createdts = CiftiCreateDenseTimeseries()
-    >>> createdts.inputs.volume_data = data_dir /'functional.nii'
-    >>> createdts.inputs.volume_structure_labels = data_dir / 'atlas.nii'
+    >>> createdts.inputs.volume_data = testdir /'functional.nii'
+    >>> createdts.inputs.volume_structure_labels = testdir / 'atlas.nii'
     >>> createdts.cmdline  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
     'wb_command -cifti-create-dense-timeseries out.dtseries.nii \
     -volume .../functional.nii .../atlas.nii'
@@ -467,8 +467,8 @@ class CiftiCreateLabel(WBCommand):
 
     >>> from nibabies.interfaces import workbench as wb
     >>> lab = wb.CiftiCreateLabel()
-    >>> lab.inputs.volume_label = data_dir / "functional.nii"
-    >>> lab.inputs.structure_label_volume = data_dir / "functional.nii"
+    >>> lab.inputs.volume_label = testdir / "functional.nii"
+    >>> lab.inputs.structure_label_volume = testdir / "functional.nii"
     >>> lab.cmdline # doctest: +ELLIPSIS
     'wb_command -cifti-create-label out.dlabel.nii -volume .../functional.nii .../functional.nii'
     """
@@ -940,9 +940,9 @@ class CiftiResample(WBCommand):
 
     >>> from nibabies.interfaces import workbench as wb
     >>> res = wb.CiftiResample()
-    >>> res.inputs.in_file = data_dir / "func.dtseries.nii"
+    >>> res.inputs.in_file = testdir / "func.dtseries.nii"
     >>> res.inputs.direction = "COLUMN"
-    >>> res.inputs.template = data_dir / "func.dlabel.nii"
+    >>> res.inputs.template = testdir / "func.dlabel.nii"
     >>> res.inputs.template_direction = "COLUMN"
     >>> res.inputs.surface_method = "ADAP_BARY_AREA"
     >>> res.inputs.volume_method = "CUBIC"
@@ -1051,7 +1051,7 @@ class CiftiSeparate(WBCommand):
     dimension, columns for .dtseries.
 
     >>> separate = CiftiSeparate()
-    >>> separate.inputs.in_file = data_dir / "func.dtseries.nii"
+    >>> separate.inputs.in_file = testdir / "func.dtseries.nii"
     >>> separate.inputs.direction = "COLUMN"
     >>> separate.inputs.volume_all_file = "volume_all.nii.gz"
     >>> separate.cmdline  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
@@ -1216,10 +1216,10 @@ class VolumeAffineResample(WBCommand):
 
     >>> from nibabies.interfaces.workbench import VolumeAffineResample
     >>> resample = VolumeAffineResample()
-    >>> resample.inputs.in_file = data_dir /'functional.nii'
-    >>> resample.inputs.volume_space = data_dir /'anatomical.nii'
+    >>> resample.inputs.in_file = testdir /'functional.nii'
+    >>> resample.inputs.volume_space = testdir /'anatomical.nii'
     >>> resample.inputs.method = 'CUBIC'
-    >>> resample.inputs.affine = data_dir / 'func_to_struct.mat'
+    >>> resample.inputs.affine = testdir / 'func_to_struct.mat'
     >>> resample.cmdline  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
     'wb_command -volume-resample .../functional.nii .../anatomical.nii CUBIC \
     resampled_functional.nii.gz -affine .../func_to_struct.mat'
@@ -1237,8 +1237,8 @@ class VolumeAffineResample(WBCommand):
     However, if other volumes were used to calculate the affine, they can
     be provided:
 
-    >>> resample.inputs.flirt_source_volume = data_dir / 'epi.nii'
-    >>> resample.inputs.flirt_target_volume = data_dir /'T1w.nii'
+    >>> resample.inputs.flirt_source_volume = testdir / 'epi.nii'
+    >>> resample.inputs.flirt_target_volume = testdir /'T1w.nii'
     >>> resample.cmdline  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
     'wb_command -volume-resample .../functional.nii .../anatomical.nii CUBIC \
     resampled_functional.nii.gz -affine .../func_to_struct.mat \
@@ -1297,7 +1297,7 @@ class VolumeAllLabelsToROIs(WBCommand):
 
     >>> from nibabies.interfaces.workbench import VolumeAllLabelsToROIs
     >>> rois = VolumeAllLabelsToROIs()
-    >>> rois.inputs.in_file = data_dir / 'atlas.nii'
+    >>> rois.inputs.in_file = testdir / 'atlas.nii'
     >>> rois.inputs.label_map = 1
     >>> rois.cmdline  # doctest: +ELLIPSIS
     'wb_command -volume-all-labels-to-rois .../atlas.nii 1 atlas_rois.nii.gz'
@@ -1346,7 +1346,7 @@ class VolumeLabelExportTable(WBCommand):
 
     >>> from nibabies.interfaces.workbench import VolumeLabelExportTable
     >>> label_export = VolumeLabelExportTable()
-    >>> label_export.inputs.in_file = data_dir / 'atlas.nii'
+    >>> label_export.inputs.in_file = testdir / 'atlas.nii'
     >>> label_export.inputs.label_map = 1
     >>> label_export.cmdline  # doctest: +ELLIPSIS
     'wb_command -volume-label-export-table .../atlas.nii 1 atlas_labels.txt'
@@ -1434,8 +1434,8 @@ class VolumeLabelImport(WBCommand):
 
     >>> from nibabies.interfaces.workbench import VolumeLabelImport
     >>> label_import = VolumeLabelImport()
-    >>> label_import.inputs.in_file = data_dir / 'atlas.nii'
-    >>> label_import.inputs.label_list_file = data_dir / 'label_list.txt'
+    >>> label_import.inputs.in_file = testdir / 'atlas.nii'
+    >>> label_import.inputs.label_list_file = testdir / 'label_list.txt'
     >>> label_import.cmdline  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
     'wb_command -volume-label-import .../atlas.nii .../label_list.txt \
     atlas_labels.nii.gz'

nibabies/workflows/bold/alignment.py

@@ -321,11 +321,11 @@ def parse_roi_labels(label_file: str):
 
     Return a list of structure names and label keys.
 
-    >>> structs, ids = parse_roi_labels(test_data / "labelfile.txt")
+    >>> structs, ids = parse_roi_labels(datadir / "FreeSurferSubcorticalLabelTableLut.txt")
     >>> structs
-    ['CEREBELLUM_LEFT', 'THALAMUS_LEFT', 'CAUDATE_LEFT']
+    ['ACCUMBENS_LEFT', 'ACCUMBENS_RIGHT', 'AMYGDALA_LEFT', ...]
     >>> ids
-    [8, 10, 11]
+    [26, 58, 18, ...]
     """
 
     with open(label_file) as fp: