eegfmri-denoising 0.1.1

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EEG-fMRI Denoising

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Installation

pip install eegfmri_denoising

or

uv install eegfmri_denoising

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Current Goals

• Create reliable examples
• Create documentation (sphinx)
• Implement carbon wire loop regression
• Implement ECG peak detection
• Implement BCG artifact simulation
• Update units tests
• Continuous intergration
• Implement pooch for fetching example data.
• Implement QC measures

Contributing

1. Fork this github repo
2. Clone the fork to your pc
3. Install uv (https://docs.astral.sh/uv/getting-started/installation/)
4. cd to the repo
5. Run "uv sync" to install dependencies

References

• Allen, P. J., Josephs, O., & Turner, R. (2000). A method for removing imaging artifact from continuous EEG recorded during functional MRI. Neuroimage, 12(2), 230-239.
• Allen, P. J., Polizzi, G., Krakow, K., Fish, D. R., & Lemieux, L. (1998). Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction. Neuroimage, 8(3), 229-239.
• Niazy, R. K., Beckmann, C. F., Iannetti, G. D., Brady, J. M., & Smith, S. M. (2005). Removal of FMRI environment artifacts from EEG data using optimal basis sets. Neuroimage, 28(3), 720-737.
• van der Meer, J. N., Pampel, A., Van Someren, E. J., Ramautar, J. R., van der Werf, Y. D., Gomez-Herrero, G., ... & Walter, M. (2016). Carbon-wire loop based artifact correction outperforms post-processing EEG/fMRI corrections—A validation of a real-time simultaneous EEG/fMRI correction method. Neuroimage, 125, 880-894.
• Yan, W. X., Mullinger, K. J., Geirsdottir, G. B., & Bowtell, R. (2010). Physical modeling of pulse artefact sources in simultaneous EEG/fMRI. Human brain mapping, 31(4), 604-620.
• Yan, W. X., Mullinger, K. J., Brookes, M. J., & Bowtell, R. (2009). Understanding gradient artefacts in simultaneous EEG/fMRI. Neuroimage, 46(2), 459-471.

Example Usage

TBC