To cite the core method of the epileptogenicity index, please use:

Fabrice Bartolomei, Patrick Chauvel, Fabrice Wendling, Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG, Brain, Volume 131, Issue 7, July 2008, Pages 1818–1830, https://doi.org/10.1093/brain/awn111

To cite the AnyWave plugin, please use:

Roehri, N., Pizzo, F., Lagarde, S., Lambert, I., Nica, A., McGonigal, A., Giusiano, B., Bartolomei, F. and Bénar, C.‐G. (2018), High‐frequency oscillations are not better biomarkers of epileptogenic tissues than spikes. Ann Neurol., 83: 84-97. doi:10.1002/ana.25124

Download for Windows

Download for macOS

The Epileptogenicity Index plugin is a MATLAB based algorithm which quantifies the degree of involment of brain structures according to their frequency content and their onset timing (Bartolomei et al., 2008). Even if it is a MATLAB based program, we provide a compiled version of the plugin so that MATLAB is not needed on your computer.

Before running AnyWave, make sure that the MATLAB runtime is installed (otherwise get it from here) and that the Epileptogenicity Index (EI) Plugin is correctly located in the AnyWave folder (MyDocuments\AnyWave\Plugins\MATLAB). The folder should contain at least these files files: desc.txt, EI.exe, and splash.png.

Launch AnyWave and open the file containing a seizure. Use the marking tool Aw marking tool.PNG to select a section of the file. Name it EI. Select the channels you want to study – Ctrl+Left Click – they should turn red, otherwise the process will be applied to all the channels. Then launch the process by clicking: Processes:MATLAB:Epileptogenicity Index.

The Graphical User Interface (GUI) opens. It is divided into 6 sections: the signal window 1, the Energy Ratio (ER) Parameters panel 2, the Detection Parameters panel 3, the Epileptogenicity Index Panel 4, the Display Parameters panel 5, and the Export panel 6.