.. include:: ############################# tedana: TE Dependent ANAlysis ############################# .. image:: https://img.shields.io/pypi/v/tedana.svg :target: https://pypi.python.org/pypi/tedana/ :alt: Latest Version .. image:: https://img.shields.io/pypi/pyversions/tedana.svg :target: https://pypi.python.org/pypi/tedana/ :alt: PyPI - Python Version .. image:: https://joss.theoj.org/papers/10.21105/joss.03669/status.svg :target: https://doi.org/10.21105/joss.03669 :alt: JOSS DOI .. image:: https://zenodo.org/badge/110845855.svg :target: https://zenodo.org/badge/latestdoi/110845855 :alt: Zenodo DOI .. image:: https://circleci.com/gh/ME-ICA/tedana.svg?style=shield :target: https://circleci.com/gh/ME-ICA/tedana :alt: CircleCI .. image:: http://img.shields.io/badge/License-LGPL%202.0-blue.svg :target: https://opensource.org/licenses/LGPL-2.1 :alt: License .. image:: https://readthedocs.org/projects/tedana/badge/?version=latest :target: http://tedana.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. image:: https://codecov.io/gh/me-ica/tedana/branch/main/graph/badge.svg :target: https://codecov.io/gh/me-ica/tedana :alt: Codecov .. image:: http://isitmaintained.com/badge/resolution/ME-ICA/tedana.svg :target: http://isitmaintained.com/project/ME-ICA/tedana :alt: Average time to resolve an issue .. image:: http://isitmaintained.com/badge/open/ME-ICA/tedana.svg :target: http://isitmaintained.com/project/ME-ICA/tedana :alt: Percentage of issues still open .. image:: https://img.shields.io/badge/Chat%20on-Mattermost-purple.svg :target: https://mattermost.brainhack.org/brainhack/channels/tedana :alt: Join the chat .. image:: https://img.shields.io/badge/receive-our%20newsletter%20❤%EF%B8%8F-blueviolet.svg :target: https://groups.google.com/g/tedana-newsletter :alt: Join our Google Group mailing list .. image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/psf/black :alt: Code style: black ***** 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`_ 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/ For a summary of multi-echo fMRI, which is the imaging technique ``tedana`` builds on, visit `Multi-echo fMRI`_. For a detailed procedure of how ``tedana`` analyzes the data from multi-echo fMRI, visit `Processing pipeline details`_. .. _ME-ICA: https://github.com/me-ica/me-ica .. _Multi-echo fMRI: https://tedana.readthedocs.io/en/latest/multi-echo.html .. _Processing pipeline details: https://tedana.readthedocs.io/en/latest/approach.html# ********* Citations ********* When using tedana, please include the following citations: .. raw:: html

1. This link is for the most recent version of the code and that page has links to DOIs for older versions. To support reproducibility, please cite the version you used: https://doi.org/10.5281/zenodo.1250561

2. DuPre, E. M., Salo, T., Ahmed, Z., Bandettini, P. A., Bottenhorn, K. L., Caballero-Gaudes, C., Dowdle, L. T., Gonzalez-Castillo, J., Heunis, S., Kundu, P., Laird, A. R., Markello, R., Markiewicz, C. J., Moia, S., Staden, I., Teves, J. B., Uruñuela, E., Vaziri-Pashkam, M., Whitaker, K., & Handwerker, D. A. (2021). TE-dependent analysis of multi-echo fMRI with tedana. Journal of Open Source Software, 6(66), 3669. doi:10.21105/joss.03669.

3. 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.

4. 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.

Alternatively, you can use the text and citations produced by the tedana workflow. You can also learn more about `why citing software is important`_. .. _Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.: https://doi.org/10.1016/j.neuroimage.2011.12.028 .. _Integrated strategy for improving functional connectivity mapping using multiecho fMRI.: https://doi.org/10.1073/pnas.1301725110 .. _`why citing software is important`: https://www.software.ac.uk/how-cite-software ******* Posters ******* .. image:: /_static/tedana-ohbm2024-poster.png .. image:: /_static/tedana-ohbm2023-poster.png ******************* License Information ******************* tedana is licensed under GNU Lesser General Public License version 2.1. .. toctree:: :maxdepth: 2 :caption: Contents: installation multi-echo usage approach outputs faq building_decision_trees support contributing roadmap api denoising dependence_metrics What's New .. toctree:: :hidden: :name: hiddentoc included_decision_trees ****************** Indices and tables ****************** * :ref:`genindex` * :ref:`modindex` * :ref:`search`