Removing artefacts from TMS-EEG recordings using independent component analysis: Importance for assessing prefrontal and motor cortex network properties

Rogasch, Nigel C.; Thomson, Richard Hilton Siddall; Farzan, Faranak; Fitzgibbon, Bernadette M.; Bailey, Neil W.; Hernandez-Pavon, Julio C.; Daskalakis, Zafiris J.; Fitzgerald, Paul B.

doi:10.1016/j.neuroimage.2014.07.037

Cited by 264 publications

(284 citation statements)

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“…EEG data were analysed according to previously reported procedures [27] using EEGLAB [28], fieldtrip [29] and custom written scripts on the MATLAB platform (R2013a, The Mathworks, USA). Data from all blocks were merged into a single file, epoched around the TMS pulse (± 1000 ms), baseline corrected (-650 to -200 ms) and bad channels were removed.…”

Section: Resultsmentioning

confidence: 99%

“…Depending on the stimulus condition, data were cut from -1.5 to 20 ms (test pulse; all conditions), -110 to -50 ms (LICI 100 conditioning stimulus) or -160 to -100 ms (LICI 150 conditioning stimulus), with the missing sections of data replaced using cubic interpolation. Following this, an initial independent component analysis (ICA) was run using the FastICA algorithm [30], and a single large component representing the tail end of the TMS-associated muscle artefact was identified and removed [27]. Data were then band-pass (1-100 Hz) and notch (50 Hz) filtered using the 'eegfiltnew' function within EEGLAB, before being visually inspected for trials containing anomalous activity (e.g., EMG bursts from facial muscle activation or noise from electrode movement).…”

Section: Resultsmentioning

confidence: 99%

“…However, this confounding influence is significantly reduced by white noise masking during stimulation [52], in addition to the use of independent component analysis [27], both of which were utilised within the current study. Furthermore, as the P180 can still be elicited in deaf subjects [52], and is significantly reduced in individuals with progressive myoclonus epilepsy [53], it seems likely that it has contributions from TMS-induced cortical activity.…”

Section: Cortical Effects Of Lici 100 and Lici 150mentioning

confidence: 99%

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Investigating TMS–EEG Indices of Long-Interval Intracortical Inhibition at Different Interstimulus Intervals

et al. 2017

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After the embargo period via non-commercial hosting platforms such as their institutional repository  via commercial sites with which Elsevier has an agreement In all cases accepted manuscripts should: link to the formal publication via its DOI  bear a CC-BY-NC-ND license -this is easy to do, click here to find out how  if aggregated with other manuscripts, for example in a repository or other site, be shared in alignment with our hosting policy  not be added to or enhanced in any way to appear more like, or to substitute for, the published journal article This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Page 1 Page 2 Investigating TMS-EEG indices of long-interval intracortical inhibition at different interstimulus intervals Highlights TMS-evoked EEG potentials were reduced after long-interval intracortical inhibition (LICI) with interstimulus intervals (ISIs) of 100 ms and 150 ms  Inhibition of P30 was observed following LICI at 100 ms, but was absent following LICI at 150 ms  Topographical analyses suggested that global inhibition of P30, N40 and P180, but not N100, differed between ISIs  Our findings suggest that LICI at different ISIs likely has complex contributions from common mechanisms AbstractBackground: Long-interval intracortical inhibition (LICI) is a transcranial magnetic

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Cortical Effects Of Lici 100 and Lici 150mentioning

confidence: 99%

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Investigating TMS–EEG Indices of Long-Interval Intracortical Inhibition at Different Interstimulus Intervals

et al. 2017

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“…EEG was recorded as previously described , and preprocessing was performed in line with published methodology (Radhu et al, 2015;Rogasch et al, 2014) as outlined in supplementary information.…”

Section: Experimental Design and Proceduresmentioning

confidence: 99%

Characterization of Glutamatergic and GABAA-Mediated Neurotransmission in Motor and Dorsolateral Prefrontal Cortex Using Paired-Pulse TMS–EEG

Cash

Noda

Zomorrodi

et al. 2016

Neuropsychopharmacol

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Short-interval intracortical inhibition (SICI) and intracortical facilitation (ICF) are noninvasive transcranial magnetic stimulation (TMS) measures of GABA A receptor-mediated inhibition and glutamatergic excitatory transmission, respectively. Conventionally these measures have been restricted to the motor cortex. We investigated whether SICI and ICF could be recorded from the dorsolateral prefrontal cortex (DLPFC) using combined TMS and electroencephalography (TMS-EEG). We first characterized the neural signature of SICI and ICF in M1 in terms of TMS-evoked potentials (TEPs) and spectral power modulation. Subsequently, these paradigms were applied in the DLPFC to determine whether similar neural signatures were evident. With TMS at M1, SICI and ICF led to bidirectional modulation (inhibition and facilitation, respectively) of P30 and P60 TEP amplitude, which correlated with MEP amplitude changes. With DLPFC stimulation, P60 was bidirectionally modulated by SICI and ICF in the same manner as for M1 stimulation, whereas P30 was absent. The sole modulation of early TEP components is in contradistinction to other measures such as long-interval intracortical inhibition and may reflect modulation of short latency excitatory and inhibitory postsynaptic potentials (EPSPs and IPSPs). Overall, the data suggest that SICI and ICF can be recorded using TMS-EEG in DLPFC providing noninvasive measures of glutamatergic and GABA A receptor-mediated neurotransmission. This may facilitate future research attempting to ascertain the role of these neurotransmitters in the pathophysiology and treatment of neurological and psychiatric disorders.

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“…Most often artefacts can be registered by many or even all the electrodes attached to the scalp of the examined person. Along with that, the EEG components occurring in a typical EEG recording are usually quite local [6,7]. Artefact correction is an essential part of pre-processing data to obtain a clean EEG recording [1].…”

Section: Artefactsmentioning

confidence: 99%

Identification, characterisation, and correction of artefacts in electroencephalographic data in study of stationary and mobile electroencephalograph

Kaczorowska

2017

ITM Web Conf.

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Abstract. The present paper covers the review of artefacts of EEG recording, as well as methods to eliminate them, i.e. PCA and ICA. The reviewed artefacts were of various origins: biological (muscle, eye blinking, eyeball moving), as well as technological artefacts caused mainly by the power network with the frequency of 50 Hz. The research has been conducted on a group consisting of 8 students. The research was carried out with the use of two defined models of electroencephalographs: stationary and mobile, then results have been compared. The comparison of two amplifiers combined with various artefact elimination methods has been presented. Presented research has shown that the record performed by the mobile amplifier contains the artefacts of significantly lower amplitude.

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Removing artefacts from TMS-EEG recordings using independent component analysis: Importance for assessing prefrontal and motor cortex network properties

Cited by 264 publications

References 74 publications

Investigating TMS–EEG Indices of Long-Interval Intracortical Inhibition at Different Interstimulus Intervals

Investigating TMS–EEG Indices of Long-Interval Intracortical Inhibition at Different Interstimulus Intervals

Characterization of Glutamatergic and GABAA-Mediated Neurotransmission in Motor and Dorsolateral Prefrontal Cortex Using Paired-Pulse TMS–EEG

Identification, characterisation, and correction of artefacts in electroencephalographic data in study of stationary and mobile electroencephalograph

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