[Eeglablist] Announcing GEDAI: A new EEGLAB Plugin for unsupervised artifact correction

[Tomas Ros]

Dear EEGLAB community,
We are writing to announce our new plugin, the Generalized Eigenvalue De-Artifacting Instrument (GEDAI), which is now available in the Extension Manager.
GEDAI was developed to provide robust and rapid artifact removal, even for highly contaminated data, without requiring user supervision. It introduces a novel approach called "leadfield filtering," which uses a theoretical EEG forward model to separate brain activity from artifacts.
GEDAI was designed to address key limitations of current ICA- or PCA- based denoising, such as speed, challenging artifact mixtures, or need for calibration data.
Our benchmark tests<https://urldefense.com/v3/__https://www.biorxiv.org/content/10.1101/2025.10.04.680449v1__;!!Mih3wA!AUK0DyQeIgIlJl7UGbrzSjRIorBGG-rXomeQ_Z4PbNBQiWBRFkCrHDO-8gYgLImNW83Yh6iO78ayvq0yjDaFEJxo2w$ > using real-world data indicate that GEDAI preprocessing can result in more accurate neurobehavioral prediction compared to competing methods. Nevertheless, it has not been tested under all EEG scenarios and we would welcome both positive and negative feedback on its performance.
You can also download the plugin and find its documentation here: https://urldefense.com/v3/__https://neurotuning.github.io/GEDAI-master/__;!!Mih3wA!AUK0DyQeIgIlJl7UGbrzSjRIorBGG-rXomeQ_Z4PbNBQiWBRFkCrHDO-8gYgLImNW83Yh6iO78ayvq0yjDYaj2FnGg$ <https://urldefense.com/v3/__https://github.com/neurotuning/GEDAI-master__;!!Mih3wA!AUK0DyQeIgIlJl7UGbrzSjRIorBGG-rXomeQ_Z4PbNBQiWBRFkCrHDO-8gYgLImNW83Yh6iO78ayvq0yjDYf-A47VA$ >
We hope GEDAI becomes a valuable tool for the community.
Best regards,
the GEDAI development team

▬▬▬


Tomas Ros, PhD

Lecturer, Department of Clinical Neurosciences

Research Staff Scientist, CIBM EEG HUG-UNIGE Section
University of Geneva, Switzerland
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