> For the complete documentation index, see [llms.txt](https://nigelrogasch.gitbook.io/tesa-user-manual/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nigelrogasch.gitbook.io/tesa-user-manual/master.md).

# 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.](http://www.sciencedirect.com/science/article/pii/S1053811916305845)&#x20;
* [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.](https://www.sciencedirect.com/science/article/pii/S1935861X20301972?via%3Dihub)

## Code contributors

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