Casula, EP;
Bertoldo, A;
Tarantino, V;
Maiella, M;
Koch, G;
Rothwell, JC;
Toffolo, GM;
(2017)
TMS-evoked long-lasting artefacts: A new adaptive algorithm for EEG signal correction.
Clinical Neurophysiology
, 128
(9)
pp. 1563-1574.
10.1016/j.clinph.2017.06.003.
Preview |
Text
Rothwell_manuscript_clinneuro2.pdf - Accepted Version Download (579kB) | Preview |
Abstract
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.
| Type: | Article |
|---|---|
| Title: | TMS-evoked long-lasting artefacts: A new adaptive algorithm for EEG signal correction |
| Location: | Netherlands |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.clinph.2017.06.003 |
| Publisher version: | http://dx.doi.org/10.1016/j.clinph.2017.06.003 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Artefact, Detrend, EEG, ICA, TMS, Adult, Algorithms, Artifacts, Electroencephalography, Female, Humans, Male, Time Factors, Transcranial Magnetic Stimulation, Young Adult |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1567705 |
Archive Staff Only
 |
View Item |
