From 5399ca5368d7fab1a450208d13752c067de8503e Mon Sep 17 00:00:00 2001 From: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com> Date: Wed, 22 Sep 2021 16:54:20 -0400 Subject: [PATCH 1/6] added check for t2s 0 voxels (#807) --- tedana/decay.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/tedana/decay.py b/tedana/decay.py index 914126d23..5b2fbe2e7 100644 --- a/tedana/decay.py +++ b/tedana/decay.py @@ -37,7 +37,11 @@ def _apply_t2s_floor(t2s, echo_times): echo_times = echo_times[:, None] eps = np.finfo(dtype=t2s.dtype).eps # smallest value for datatype - temp_arr = np.exp(-echo_times / t2s) # (E x V) array + nonzerovox = t2s != 0 + # Exclude values where t2s is 0 when dividing by t2s. + # These voxels are also excluded from bad_voxel_idx + temp_arr = np.zeros((len(echo_times), len(t2s))) + temp_arr[:, nonzerovox] = np.exp(-echo_times / t2s[nonzerovox]) # (E x V) array bad_voxel_idx = np.any(temp_arr == 0, axis=0) & (t2s != 0) n_bad_voxels = np.sum(bad_voxel_idx) if n_bad_voxels > 0: From 4d5c6456d66c6badea7aa3730130756db286a52d Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Tue, 28 Sep 2021 18:11:03 -0400 Subject: [PATCH 2/6] [JOSS] Add accepted JOSS manuscript to `main` (#813) * Add manuscript. Still need to check references. * [skip-ci] Add newline at end. * Update Asyraff reference. * Remove unused citations. * Fix citations. * [skip ci] Minor change from @emdupre. * Fix in-text citations. * Add co-first authorship, corresponding, and multi-affiliations. * Remove DuPre's middle initial. Co-authored-by: Elizabeth DuPre * Apply suggestions from code review Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Elizabeth DuPre Co-authored-by: Joshua Teves * (skip ci) Add comma Co-authored-by: Elizabeth DuPre * Try out alternate formatting. * Change S0 too. * Add DOIs and fix author list Thanks @emdupre! Co-authored-by: Elizabeth DuPre * Apply suggestions from code review Thanks @KirstieJane! Co-authored-by: Kirstie Whitaker * Update submission date. * Update @smoia's article. Co-authored-by: Stefano Moia * Remove extra URL parts from DOI. * Add newline between sections. * Address martinagvilas JOSS review comments * Edit gitignore to allow for notebooks * Correct workflow walkthrough notebooks Xlink * Sync update index, installation in docs Co-authored-by: Elizabeth DuPre Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com> Co-authored-by: Joshua Teves Co-authored-by: Kirstie Whitaker Co-authored-by: Stefano Moia --- .gitignore | 1 - CONTRIBUTING.md | 2 +- README.md | 28 +- docs/approach.rst | 2 + docs/index.rst | 20 +- docs/installation.rst | 18 +- .../notebooks}/plot_approach_figures.ipynb | 0 .../notebooks}/plot_metric_simulations.ipynb | 0 paper/figure_01.png | Bin 0 -> 657931 bytes paper/paper.bib | 859 ++++++++++++++++++ paper/paper.md | 128 +++ 11 files changed, 1033 insertions(+), 25 deletions(-) rename {examples => docs/notebooks}/plot_approach_figures.ipynb (100%) rename {examples => docs/notebooks}/plot_metric_simulations.ipynb (100%) create mode 100644 paper/figure_01.png create mode 100644 paper/paper.bib create mode 100644 paper/paper.md diff --git a/.gitignore b/.gitignore index 39e49b8a2..127715058 100644 --- a/.gitignore +++ b/.gitignore @@ -108,7 +108,6 @@ ENV/ # jupyter notebooks .ipynb_checkpoints/ -*.ipynb # vim swap files *.swp diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index a6c2eef8f..45ab01ef2 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -132,7 +132,7 @@ Make sure to always [keep your fork up to date][link_updateupstreamwiki] with th To test a change, you may need to set up your local repository to run a `tedana` workflow. To do so, run ``` -pip install -e .[all] +pip install -e .'[all]' ``` from within your local `tedana` repository. This should ensure all packages are correctly organized and linked on your user profile. diff --git a/README.md b/README.md index 4e9653ae3..7c2d02c29 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,5 @@ # tedana: TE Dependent ANAlysis -The ``tedana`` package is part of the ME-ICA pipeline, performing TE-dependent -analysis of multi-echo functional magnetic resonance imaging (fMRI) data. -``TE``-``de``pendent ``ana``lysis (``tedana``) is a Python module for denoising -multi-echo functional magnetic resonance imaging (fMRI) data. - [![Latest Version](https://img.shields.io/pypi/v/tedana.svg)](https://pypi.python.org/pypi/tedana/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/tedana.svg)](https://pypi.python.org/pypi/tedana/) [![DOI](https://zenodo.org/badge/110845855.svg)](https://zenodo.org/badge/latestdoi/110845855) @@ -19,11 +14,10 @@ multi-echo functional magnetic resonance imaging (fMRI) data. [![All Contributors](https://img.shields.io/badge/all_contributors-20-orange.svg?style=flat-square)](#contributors) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) - -## About - -``tedana`` originally came about as a part of the [ME-ICA](https://github.com/me-ica/me-ica) pipeline. -The ME-ICA pipeline originally performed both pre-processing and TE-dependent analysis of multi-echo fMRI data; however, ``tedana`` now assumes that you're working with data which has been previously preprocessed. +``TE``-``de``pendent ``ana``lysis (``tedana``) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data. +``tedana`` originally came about as a part of the [ME-ICA](https://github.com/me-ica/me-ica) pipeline, although it has since diverged. +An important distinction is that while the ME-ICA pipeline originally performed both pre-processing and TE-dependent analysis of multi-echo fMRI data, +``tedana`` now assumes that you're working with data which has been previously preprocessed. ![http://tedana.readthedocs.io/](https://user-images.githubusercontent.com/7406227/40031156-57b7cbb8-57bc-11e8-8c51-5b29f2e86a48.png) @@ -75,6 +69,20 @@ conda deactivate NOTE: Conda < 4.6 users will need to use the soon-to-be-deprecated option `source` rather than `conda` for the activation and deactivation steps. You can read more about managing conda environments and this discrepancy [here](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html). +You can confirm that ``tedana`` has successfully installed by launching a Python instance and running: + +```python +import tedana +``` + +You can check that it is available through the command line interface (CLI) with: + +```bash +tedana --help +``` + +If no error occurs, ``tedana`` has correctly installed in your environment! + ### Use and contribute to `tedana` as a developer If you aim to contribute to the `tedana` code base and/or documentation, please first read the developer installation instructions in [our contributing section](https://github.com/ME-ICA/tedana/blob/main/CONTRIBUTING.md). You can then continue to set up your preferred development environment. diff --git a/docs/approach.rst b/docs/approach.rst index 8dd846e6a..eb05cc49e 100644 --- a/docs/approach.rst +++ b/docs/approach.rst @@ -19,6 +19,8 @@ This is performed in a series of steps, including: .. image:: /_static/tedana-workflow.png :align: center +We provide more detail on each step below. +The figures shown in this walkthrough are generated in the `provided notebooks `_. *************** Multi-echo data diff --git a/docs/index.rst b/docs/index.rst index daa2bc39e..1c29c76d6 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -4,11 +4,6 @@ tedana: TE Dependent ANAlysis ############################# -The ``tedana`` package is part of the ME-ICA pipeline, performing TE-dependent -analysis of multi-echo functional magnetic resonance imaging (fMRI) data. -``TE``-``de``\pendent ``ana``\lysis (``tedana``) is a Python module for denoising -multi-echo functional magnetic resonance imaging (fMRI) data. - .. image:: https://img.shields.io/pypi/v/tedana.svg :target: https://pypi.python.org/pypi/tedana/ :alt: Latest Version @@ -62,14 +57,15 @@ multi-echo functional magnetic resonance imaging (fMRI) data. About ***** +``TE``-``de``pendent ``ana``lysis (``tedana``) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data. +``tedana`` originally came about as a part of the [ME-ICA](https://github.com/me-ica/me-ica) pipeline, although it has since diverged. +An important distinction is that while the ME-ICA pipeline originally performed both pre-processing and TE-dependent analysis of multi-echo fMRI data, +``tedana`` now assumes that you're working with data which has been previously preprocessed. + + .. image:: https://user-images.githubusercontent.com/7406227/40031156-57b7cbb8-57bc-11e8-8c51-5b29f2e86a48.png :target: http://tedana.readthedocs.io/ -``tedana`` originally came about as a part of the `ME-ICA`_ pipeline. -The ME-ICA pipeline originally performed both pre-processing and TE-dependent -analysis of multi-echo fMRI data; however, ``tedana`` now assumes that you're -working with data which has been previously preprocessed. - For a summary of multi-echo fMRI, which is the imaging technique ``tedana`` builds on, visit `Multi-echo fMRI`_. @@ -116,12 +112,12 @@ When using tedana, please include the following citations:

- 2. Kundu, P., Inati, S. J., Evans, J. W., Luh, W. M. & Bandettini, P. A. (2011). + 1. Kundu, P., Inati, S. J., Evans, J. W., Luh, W. M. & Bandettini, P. A. (2011). Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI. NeuroImage, 60, 1759-1770.

- 3. Kundu, P., Brenowitz, N. D., Voon, V., Worbe, Y., Vértes, P. E., Inati, S. J., + 1. Kundu, P., Brenowitz, N. D., Voon, V., Worbe, Y., Vértes, P. E., Inati, S. J., Saad, Z. S., Bandettini, P. A., & Bullmore, E. T. (2013). Integrated strategy for improving functional connectivity mapping using multiecho fMRI. Proceedings of the National Academy of Sciences, 110, 16187-16192. diff --git a/docs/installation.rst b/docs/installation.rst index 39998e399..c65c654f3 100644 --- a/docs/installation.rst +++ b/docs/installation.rst @@ -13,7 +13,10 @@ packages will need to be installed: - scipy - mapca -You can then install ``tedana`` with: +You can also install several optional dependencies, notably ``duecredit``. +Please see the :doc:`FAQ ` for more information on how tedana uses ``duecredit``. + +After installing relevant dependencies, you can then install ``tedana`` with: .. code-block:: bash @@ -21,3 +24,16 @@ You can then install ``tedana`` with: In addition to the Python package, installing ``tedana`` will add the ``tedana`` and ``t2smap`` workflow CLIs to your path. +You can confirm that ``tedana`` has successfully installed by launching a Python instance and running: + +.. code-block:: python + + import tedana + +You can check that it is available through the command line interface (CLI) with: + +.. code-block:: bash + + tedana --help + +If no error occurs, ``tedana`` has correctly installed in your environment! diff --git a/examples/plot_approach_figures.ipynb b/docs/notebooks/plot_approach_figures.ipynb similarity index 100% rename from examples/plot_approach_figures.ipynb rename to docs/notebooks/plot_approach_figures.ipynb diff --git a/examples/plot_metric_simulations.ipynb b/docs/notebooks/plot_metric_simulations.ipynb similarity index 100% rename from examples/plot_metric_simulations.ipynb rename to docs/notebooks/plot_metric_simulations.ipynb diff --git a/paper/figure_01.png b/paper/figure_01.png new file mode 100644 index 0000000000000000000000000000000000000000..5a8e3e7e1d4df7f02bf1fba0a7efd2cc0573595b GIT binary patch literal 657931 zcmeFZWn7f&_6AH#2%>;UqjW3XAxM{WH$!(xmlD$5Au)7!gQ#?uG)Rmv^bpeTGoG{0 z+57DM;s1VnKfE7+`QiA?^Q?Q_YhCNQuA6XWMJa4dVoU@C1Z){;2^9nc3`+zA)KBPW zz;BSEq4x*~h;&xs;>tGSQsNG_4$i8M#-`?CW)3FiDpIds@$vB@AkfE|8X2ibGt>7Q 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