The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts
Loading...
Journal Title
Journal ISSN
Volume Title
A2 Katsausartikkeli tieteellisessä aikakauslehdessä
Date
2022-03-15
Major/Subject
Mcode
Degree programme
Language
en
Pages
11
1-11
1-11
Series
Journal of Neuroscience Methods, Volume 370
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.Description
| openaire: EC/H2020/785907/EU//HBP SGA2 | openaire: EC/H2020/945539/EU//HBP SGA3 Funding Information: This work was supported by the European Union’s Horizon 2020 , EU Framework Program for Research and Innovation under the Specific Grant Agreements No. 785907 (Human Brain Project SGA2) (to M.M. and M.R.) and No. 945539 (Human Brain Project SGA3) (to M.M. and M.R.); by the Tiny Blue Dot Foundation , USA (to M.M.); by Fondazione Regionale per la Ricerca Biomedica , EU (Regione Lombardia), Project ERAPERMED2019–101 , GA 779282 (to M.R.); by the Italian Ministry of Health , Italy GR-2016–02361494 (to S.C.); by the Canadian Institute for Advanced Research , Canada (CIFAR) (to M.M.).
Keywords
Initial activation, Muscle artifact, Real-time EEG readout, Signal-to-noise ratio, TMS–EEGReproducibility
Citation
Casarotto , S , Fecchio , M , Rosanova , M , Varone , G , D'Ambrosio , S , Sarasso , S , Pigorini , A , Russo , S , Comanducci , A , Ilmoniemi , R J & Massimini , M 2022 , ' The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts ' , Journal of Neuroscience Methods , vol. 370 , 109486 , pp. 1-11 . https://doi.org/10.1016/j.jneumeth.2022.109486
