tedana: TE Dependent ANAlysis
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.
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.
Citations
When using tedana, please include the following citations:
tedana Available from: https://doi.org/10.5281/zenodo.1250561
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.
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.
Alternatively, you can automatically compile relevant citations by running your
tedana code with duecredit. For example, if you plan to run a script using
tedana (in this case, tedana_script.py
):
python -m duecredit tedana_script.py
You can also learn more about why citing software is important.
Posters
License Information
tedana is licensed under GNU Lesser General Public License version 2.1.
- Installation
- About multi-echo fMRI
- Using tedana from the command line
- tedana’s denoising approach
- Outputs of tedana
- FAQ
- [tedana] How do I use tedana with fMRIPrepped data?
- [tedana] ICA has failed to converge.
- [tedana] I think that some BOLD ICA components have been misclassified as noise.
- [tedana] Why isn’t v3.2 of the component selection algorithm supported in
tedana
? - [tedana] What is the warning about
duecredit
? - [ME-fMRI] Does multi-echo fMRI require more radio frequency pulses?
- [ME-fMRI] Can I combine multiband (simultaneous multislice) with multi-echo fMRI?
- Support and communication
- Contributing to tedana
- The tedana roadmap
- API
tedana.workflows
: Common workflowstedana.decay
: Modeling signal decay across echoestedana.combine
: Combining time series across echoestedana.decomposition
: Data decompositiontedana.metrics
: Computing TE-dependence metricstedana.selection
: Component selectiontedana.gscontrol
: Global signal controltedana.io
: Reading and writing datatedana.stats
: Statistical functionstedana.utils
: Utility functions