TESA user manual
  • Introduction
  • Installation, getting started, and reporting bugs
    • A quick intro to TESA
    • A quick intro to Matlab
    • A quick intro to EEGLAB
    • Reporting bugs
  • Overview of TMS-EEG analysis
  • Find and mark TMS pulses
    • Find TMS pulses
    • Find TMS pulses (alternative)
    • Fix TMS pulse latencies
  • Remove and interpolate TMS pulse artifacts
    • Remove TMS pulse artifact
    • Interpolate removed data
  • Remove TMS-evoked muscle activity and other artifacts
    • FastICA
    • Component classification (TESA)
    • Plot and remove components
    • Enhanced deflation method (EDM)
    • PCA compression
    • PCA suppression
    • Detrend
    • SSP–SIR
    • SOUND
  • Filter data
    • Butterworth filter
    • Median filter
  • Analyse TMS-evoked potentials
    • Extract TEPs
    • Find and analyse TEP peaks
    • Output peak analysis
    • Output peak analysis (group)
  • Plot TMS-evoked potentials
    • Plot data
    • Plot data (group)
  • Example analysis pipelines
  • TESA functions under development
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  • Download TESA
  • Citations and acknowledgements
  • Code contributors

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Introduction

NextInstallation, getting started, and reporting bugs

Last updated 4 years ago

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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:

Citations and acknowledgements

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

Code contributors

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

https://github.com/nigelrogasch/TESA/releases
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.