Generalized Eigenvalue De-Artifacting Instrument (GEDAI)

Authors: Tomas Ros, Yingqi Huang, Takfarinas Medani, Raymundo Cassani

This tutorial introduces the generalized eigenvalue de-artifacting instrument (GEDAI) algorithm which is an unsupervised EEG denoising method based on the leadfield filtering.

Introduction

[TODO] A description on the method

Install

Being a Brainstorm plugin, GEDAI plugin can be installed, updated and removed directly from the Brainstorm GUI. For further information, see the plugins tutorial.

• From the main window go to Plugins > Artifacts > gedai > Install.

  

• A message will appear saying, "Plugin gedai is not installed on your computer. Download the latest version of GEDAI now?" click 'Yes'.

  

• The plugin will be downloaded and installed automatically. Once installed, you will see a confirmation message.

  

By following these steps, you will successfully install the bst-neuromaps plugin.

Using GEDAI

[TODO] Expanding these points

On GEDAI provided data

• Create a new protocol
• Importing data
• Install GEDAI plugin
• Running GEDAI process Description of the process GUI and each of their elements
• Results

On epilepsy EEG

• We can use GEDAI on the raw EEG data in the Epilepsy tutorial

  https://neuroimage.usc.edu/brainstorm/Tutorials/Epilepsy

Additional documentation

Related tutorials

• Artifact detection

• Artifact cleaning with SSP

Articles

* Ros, T., Férat, V., Huang, Y., Colangelo, C., Kia, S. M., Wolfers, T., Vulliemoz, S., & Michela, A. (2025).
Return of the GEDAI: Unsupervised EEG denoising based on leadfield filtering.
bioRxiv : The Preprint Server for Biology.