The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts

Silvia Casarotto*, Matteo Fecchio, Mario Rosanova, Giuseppe Varone, Sasha D'Ambrosio, Simone Sarasso, Andrea Pigorini, Simone Russo, Angela Comanducci, Risto J. Ilmoniemi, Marcello Massimini

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

46 Citations (Scopus)
146 Downloads (Pure)

Abstract

Background: The impact of transcranial magnetic stimulation (TMS) on cortical neurons is currently hard to predict based on a priori biophysical and anatomical knowledge alone. Lack of control of the immediate effects of TMS on the underlying cortex can hamper the reliability and reproducibility of protocols aimed at measuring electroencephalographic (EEG) responses to TMS.New Method: We introduce and release a novel software tool labelled rt-TEP (real-time TEP). This tool interfaces with different EEG amplifiers and offers a series of informative visualization modes to assess the magnitude of the initial brain response to TMS and the overall quality of TMS-evoked potentials (TEPs) in real time.Results: We show that rt-TEP can be used to detect -and thus abolish or minimize -magnetic and muscle artifacts contaminating the post-stimulus period of single-trial data: this application affords a clear visualization and quantification of the amplitude of the early (8-50 ms) and local EEG response after averaging a limited number of trials. Such real-time readout can then be used to optimize TMS parameters (e.g., site, orientation, intensity) before data acquisition to obtain TEPs characterized by high signal-to-noise ratio.Comparison with Existing Methods: The ensemble of real-time visualization modes of rt-TEP are not currently implemented in any available commercial software and provide a key readout to titrate TMS parameters beyond the a priori information provided by biophysical and anatomical models.Conclusions: Real-time optimization of TMS parameters to achieve a desired level of initial activation can facilitate the acquisition of reliable TEPs and can improve the reproducibility of data collection across laboratories.

Original languageEnglish
Article number109486
Pages (from-to)1-11
Number of pages11
JournalJournal of Neuroscience Methods
Volume370
DOIs
Publication statusPublished - 15 Mar 2022
MoE publication typeA2 Review article, Literature review, Systematic review

Keywords

  • Initial activation
  • Muscle artifact
  • Real-time EEG readout
  • Signal-to-noise ratio
  • TMS–EEGReproducibility

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