tedana: TE Dependent ANAlysis
tedana package is part of the ME-ICA pipeline, performing TE-dependent
analysis of multi-echo functional magnetic resonance imaging (fMRI) data.
tedana) is a Python module for denoising
multi-echo functional magnetic resonance imaging (fMRI) data.
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.
More information and documentation can be found at https://tedana.readthedocs.io/.
You'll need to set up a working development environment to use
To set up a local environment, you will need Python >=3.6 and the following packages will need to be installed:
You can then install
pip install tedana
Creating a miniconda environment for use with
tedana, you can optionally configure a conda environment.
We recommend using miniconda3.
After installation, you can use the following commands to create an environment for
conda create -n ENVIRONMENT_NAME python=3 pip mdp numpy scikit-learn scipy nilearn nibabel source activate ENVIRONMENT_NAME pip install tedana
tedana will then be available in your path.
This will also allow any previously existing tedana installations to remain untouched.
To exit this conda environment, use
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tedana respect our code of conduct.