Literature DB >> 22902312

The effect of stimulus parameters on TMS-EEG muscle artifacts.

Tuomas Mutanen1, Hanna Mäki, Risto J Ilmoniemi.   

Abstract

BACKGROUND: When transcranial magnetic stimulation (TMS) is delivered close to the lateral aspects of the head, large-amplitude (~10-1000 μV) biphasic electroencephalographic (EEG) deflections, peaking at around 4-10 and 8-20 ms, appear.
OBJECTIVE: To characterize the spatiotemporal features of these artifacts, to quantify the effect of stimulus parameters on them, and thus, to study the feasibility of different measurement procedures to decrease the artifacts online. Furthermore, to show that these deflections, when measured with a sample-and-hold system, mainly result from excitation of cranial muscles.
METHODS: Three subjects received TMS to 16 sites over the left hemisphere. TMS-compatible EEG was recorded simultaneously. Four other subjects received TMS to M1 with different coil rotation and tilt angles and stimulation intensities. We also stimulated a conductive phantom and recorded simultaneous EEG to exclude the possibility of residual electromagnetic artifacts.
RESULTS: The artifacts were largest when the stimulator was placed above cranial muscles, whereas stimulation of relatively central sites far from the muscles produced muscle artifact-free data. The laterally situated EEG channels were most severely contaminated. The artifacts were significantly reduced when reducing the intensity or when tilting or rotating the coil so that coil wings moved further away from the temporal muscle, while brain responses remained visible. Stimulation of the phantom did not produce such large-amplitude biphasic artifacts.
CONCLUSION: Altering the stimulation parameters can reduce the described artifact, while brain responses can still be recorded. The early, laterally appearing, large biphasic TMS-evoked EEG deflections recorded with a sample-and-hold system are caused by cranial muscle activation.
Copyright © 2013 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 22902312     DOI: 10.1016/j.brs.2012.07.005

Source DB:  PubMed          Journal:  Brain Stimul        ISSN: 1876-4754            Impact factor:   8.955


  32 in total

1.  The Impact of Stimulation Intensity and Coil Type on Reliability and Tolerability of Cerebellar Brain Inhibition (CBI) via Dual-Coil TMS.

Authors:  Lara Fernandez; Brendan P Major; Wei-Peng Teo; Linda K Byrne; Peter G Enticott
Journal:  Cerebellum       Date:  2018-10       Impact factor: 3.847

2.  The EEG correlates of the TMS-induced EMG silent period in humans.

Authors:  Faranak Farzan; Mera S Barr; Sylco S Hoppenbrouwers; Paul B Fitzgerald; Robert Chen; Alvaro Pascual-Leone; Zafiris J Daskalakis
Journal:  Neuroimage       Date:  2013-06-22       Impact factor: 6.556

3.  Assessing recurrent interactions in cortical networks: Modeling EEG response to transcranial magnetic stimulation.

Authors:  Jui-Yang Chang; Matteo Fecchio; Andrea Pigorini; Marcello Massimini; Giulio Tononi; Barry D Van Veen
Journal:  J Neurosci Methods       Date:  2018-11-12       Impact factor: 2.390

4.  Nonphysiological factors in navigated TMS studies; confounding covariates and valid intracortical estimates.

Authors:  Sein Schmidt; Rouven Bathe-Peters; Robert Fleischmann; Maria Rönnefarth; Michael Scholz; Stephan A Brandt
Journal:  Hum Brain Mapp       Date:  2014-08-29       Impact factor: 5.038

5.  ARTIST: A fully automated artifact rejection algorithm for single-pulse TMS-EEG data.

Authors:  Wei Wu; Corey J Keller; Nigel C Rogasch; Parker Longwell; Emmanuel Shpigel; Camarin E Rolle; Amit Etkin
Journal:  Hum Brain Mapp       Date:  2018-01-13       Impact factor: 5.038

6.  A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy.

Authors:  Mouhsin M Shafi; Susan Whitfield-Gabrieli; Catherine J Chu; Alvaro Pascual-Leone; Bernard S Chang
Journal:  J Vis Exp       Date:  2016-11-13       Impact factor: 1.355

7.  TMS evoked N100 reflects local GABA and glutamate balance.

Authors:  Xiaoming Du; Laura M Rowland; Ann Summerfelt; Andrea Wijtenburg; Joshua Chiappelli; Krista Wisner; Peter Kochunov; Fow-Sen Choa; L Elliot Hong
Journal:  Brain Stimul       Date:  2018-05-04       Impact factor: 8.955

8.  N100 as a generic cortical electrophysiological marker based on decomposition of TMS-evoked potentials across five anatomic locations.

Authors:  Xiaoming Du; Fow-Sen Choa; Ann Summerfelt; Laura M Rowland; Joshua Chiappelli; Peter Kochunov; L Elliot Hong
Journal:  Exp Brain Res       Date:  2016-09-14       Impact factor: 1.972

9.  Resting-state modulation of α rhythms by interference with angular gyrus activity.

Authors:  Paolo Capotosto; Claudio Babiloni; Gian Luca Romani; Maurizio Corbetta
Journal:  J Cogn Neurosci       Date:  2013-08-12       Impact factor: 3.225

Review 10.  Guiding transcranial brain stimulation by EEG/MEG to interact with ongoing brain activity and associated functions: A position paper.

Authors:  Gregor Thut; Til Ole Bergmann; Flavio Fröhlich; Surjo R Soekadar; John-Stuart Brittain; Antoni Valero-Cabré; Alexander T Sack; Carlo Miniussi; Andrea Antal; Hartwig Roman Siebner; Ulf Ziemann; Christoph S Herrmann
Journal:  Clin Neurophysiol       Date:  2017-01-29       Impact factor: 3.708

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