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TMS-evoked long-lasting artefacts: A new adaptive algorithm for EEG signal correction.
Casula, Elias P; Bertoldo, Alessandra; Tarantino, Vincenza; Maiella, Michele; Koch, Giacomo; Rothwell, John C; Toffolo, Gianna M; Bisiacchi, Patrizia S.
Afiliação
  • Casula EP; Non-invasive Brain Stimulation Unit, IRCCS Santa Lucia Foundation, Rome, Italy; Department of General Psychology, University of Padua, Padua, Italy; Sobell Department of Motor Neuroscience and Movement Disorders, University College London, London, United Kingdom. Electronic address: elias.casula@gma
  • Bertoldo A; Department of Information Engineering, University of Padua, Padua, Italy.
  • Tarantino V; Department of General Psychology, University of Padua, Padua, Italy.
  • Maiella M; Non-invasive Brain Stimulation Unit, IRCCS Santa Lucia Foundation, Rome, Italy.
  • Koch G; Non-invasive Brain Stimulation Unit, IRCCS Santa Lucia Foundation, Rome, Italy.
  • Rothwell JC; Sobell Department of Motor Neuroscience and Movement Disorders, University College London, London, United Kingdom.
  • Toffolo GM; Department of Information Engineering, University of Padua, Padua, Italy.
  • Bisiacchi PS; Department of General Psychology, University of Padua, Padua, Italy.
Clin Neurophysiol ; 128(9): 1563-1574, 2017 09.
Article em En | MEDLINE | ID: mdl-28709122
OBJECTIVE: During EEG the discharge of TMS generates a long-lasting decay artefact (DA) that makes the analysis of TMS-evoked potentials (TEPs) difficult. Our aim was twofold: (1) to describe how the DA affects the recorded EEG and (2) to develop a new adaptive detrend algorithm (ADA) able to correct the DA. METHODS: We performed two experiments testing 50 healthy volunteers. In experiment 1, we tested the efficacy of ADA by comparing it with two commonly-used independent component analysis (ICA) algorithms. In experiment 2, we further investigated the efficiency of ADA and the impact of the DA evoked from TMS over frontal, motor and parietal areas. RESULTS: Our results demonstrated that (1) the DA affected the EEG signal in the spatiotemporal domain; (2) ADA was able to completely remove the DA without affecting the TEP waveforms; (3). ICA corrections produced significant changes in peak-to-peak TEP amplitude. CONCLUSIONS: ADA is a reliable solution for the DA correction, especially considering that (1) it does not affect physiological responses; (2) it is completely data-driven and (3) its effectiveness does not depend on the characteristics of the artefact and on the number of recording electrodes. SIGNIFICANCE: We proposed a new reliable algorithm of correction for long-lasting TMS-EEG artifacts.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Artefatos / Eletroencefalografia / Estimulação Magnética Transcraniana Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Artefatos / Eletroencefalografia / Estimulação Magnética Transcraniana Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article