Can eConnectome be used for sEEG data?

Hello,

I'm looking to analyze sEEG data collected from implanted electrodes. Does anyone know if eConnectome can be used for that? Even if the visualizations may not work, would the functions still work?

Thanks.

Answer 1

[Prasanna]

Hi Selena,

eConnectome is a MATLAB-based toolbox designed primarily for EEG/MEG data analysis and visualization. While it is not specifically tailored for stereo-electroencephalography (SEEG) data, you might still be able to use some of its functions for basic analysis, depending on the format and structure of your SEEG data. Some considerations for when using eConnectome with SEEG data are:

• eConnectome expects data in a specific format, typically EEG/MEG data with channel locations. If your SEEG data can be formatted similarly, you might be able to use some of its functions.
• SEEG involves depth electrodes, which are different from the scalp electrodes typically used in EEG. You may need to manually input or adjust the channel locations if you intend to use any spatial analysis features.
• Basic signal processing functions (e.g., filtering, artifact removal) might still be applicable if your data is in the correct format.

In summary, while eConnectome might offer some utility for basic signal processing of SEEG data, you may encounter limitations with more advanced analyses and visualizations. Some other MATLAB-based tools for SEEG visualizations are as follows:

• SEEGview: https://www.researchgate.net/publication/330478491_SEEGview_A_Toolbox_for_Localization_and_Visualization_of_Stereo-Electroencephalography_SEEG_Electrodes
• mnl_seegview: https://github.com/MultimodalNeuroimagingLab/mnl_seegview