Introduction

The TMS-EEG signal analyser (TESA) is an open source extension for EEGLAB that includes functions necessary for cleaning and analysing TMS-EEG data. This user manual provides a brief overview of how to clean and analyse TMS-EEG data using TESA functions.

TESA is a community led project with the aim of making state-of-the-art cleaning and analysis methods available to TMS-EEG researchers. TESA does not advocate for one specific pipeline or analysis technique, but instead makes as many options available as possible, thereby enabling comparisons of different methods.

Download TESA

To download the code for TESA, please visit the following site: https://github.com/nigelrogasch/TESA/releases

Citations and acknowledgements

For further information and to cite TESA, please see the following papers:

• Rogasch NC, Sullivan C, Thomson RH, Rose NS, Bailey NW, Fitzgerald PB, Farzan F, Hernandez-Pavon JC. Analysing concurrent transcranial magnetic stimulation and electroencephalographic data: a review and introduction to the open-source TESA software. NeuroImage. 2017; 147: 934-951.

• Mutanen TP, Biabani M, Sarvas J, Ilmoniemi RJ, Rogasch NC. Source-based artifact-rejection techniques available in TESA, an open-source TMS-EEG toolbox. Brain Stimulation. 2020; In press.

Code contributors

Nigel C. Rogasch, Julio C. Hernandez-Pavon, Caley Sullivan, Nathan S. Rose, Tuomas P. Mutanen, Mana Biabani, Jukka Sarvas