Brain responses evoked by high-frequency repetitive transcranial magnetic stimulation: An event-related potential study

Hamidi, Massihullah; Slagter, Heleen A.; Tononi, Giulio; Postle, Bradley R.

doi:10.1016/j.brs.2009.04.001

Cited by 67 publications

(69 citation statements)

References 56 publications

(59 reference statements)

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“…An alternative possibility to this behavioral state-related effective connectivity account, however, is that the trial-to-trial unpredictability of the delivery of TMS in the STM condition may have produced a larger involuntary orienting response in this condition versus the Fixation condition. In tests of STM in which a 3-s-long train of 10-Hz repetitive TMS was delivered unpredictably during half of the delay periods of a block, for example, the TMS-ER to the first several pulses of the train induced a large-magnitude response at frontal midline electrodes that was not observed for the ensuing pulses of the train (Hamidi et al 2009). Inspection of Fig.…”

Section: Discussionmentioning

confidence: 99%

Task-dependent changes in cortical excitability and effective connectivity: a combined TMS-EEG study

Johnson¹,

Kundu

Casali

et al. 2012

Journal of Neurophysiology

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Johnson JS, Kundu B, Casali AG, Postle BR. Task-dependent changes in cortical excitability and effective connectivity: a combined TMS-EEG study. J Neurophysiol 107: 2383-2392, 2012. First published February 8, 2012 doi:10.1152/jn.00707.2011.-The brain's electrical response to transcranial magnetic stimulation (TMS) is known to be influenced by exogenous factors such as the frequency and intensity of stimulation and the orientation and positioning of the stimulating coil. Less understood, however, is the influence of endogenous neural factors, such as global brain state, on the TMS-evoked response (TMS-ER). In the present study, we explored how changes in behavioral state affect the TMS-ER by perturbing the superior parietal lobule (SPL) with single pulses of TMS and measuring consequent differences in the frequency, strength, and spatial spread of TMS-evoked currents during the delay period of a spatial shortterm memory task and during a period of passive fixation. Results revealed that task performance increased the overall strength of electrical currents induced by TMS, increased the spatial spread of TMS-evoked activity to distal brain regions, and increased the ability of TMS to reset the phase of ongoing broadband cortical oscillations. By contrast, task performance had little effect on the dominant frequency of the TMS-ER, both locally and at distal brain areas. These findings contribute to a growing body of work using combined TMS and neuroimaging methods to explore task-dependent changes in the functional organization of cortical networks implicated in task performance.electroencephalography; transcranial magnetic stimulation TRANSCRANIAL MAGNETIC STIMULATION (TMS) is a method that exploits the principle of electromagnetic induction to noninvasively stimulate specific brain areas with the goal of testing hypotheses about brain-behavior relations (Walsh and PascualLeone 2003). Although numerous studies have revealed TMSinduced effects on behavioral performance, the endogenous neural factors linking TMS to behavior are at present poorly understood. An important goal of work in this area, therefore, is to uncover the factors that underlie observed variability in the effects of TMS on the brain and behavior. In the present study, we explored the influence of behavioral state on spectral and temporal properties of the TMS-evoked response (TMS-ER). The brain's response to TMS is known to be influenced by a number of factors specific to particular TMS protocols, including coil orientation (Bonato et al. 2006;Thut et al. 2011) and the intensity and frequency of stimulation (Komssi et al. 2004). Additionally, although the biophysical principles underlying TMS-related current induction are presumably the same for all neural tissue (Walsh and Pascual-Leone 2003), the effect of TMS on brain activity has been found to vary systematically as a function of where on the scalp it is applied. Notably, using combined TMS and electroencephalography (EEG), Rosanova and colleagues (2009) found that single pulses of TMS elicit...

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Section: Discussionmentioning

confidence: 99%

Task-dependent changes in cortical excitability and effective connectivity: a combined TMS-EEG study

Johnson¹,

Kundu

Casali

et al. 2012

Journal of Neurophysiology

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“…So far, there are few studies where ICA has been used in artifact reduction from TMS-evoked EEG data where the artifacts are of moderate size [7,13]. In this article, ICA is introduced for first time to remove very large muscle artifacts from the TMS-evoked data arising from brain areas close to cranial muscles.…”

Section: Discussionmentioning

confidence: 99%

“…ICA is a popular signal analysis and artifact detection method in EEG and MEG recordings [3,4,10,14,16,18,[22][23][24]; it has already been successfully used in artifact reduction from the TMSevoked EEG data arising from M1, posterior parietal cortex, and postcentral gyrus stimulation [7,13], where the artifacts have been of moderate size. Note that although the brain activation and the artifacts are triggered by the same TMS impulse, they can still be considered as independent stochastic processes with no mutual interaction, and therefore, ICA is an appropriate way to separate the artifacts from the brain signals [14,18,22,23].…”

Section: Introductionmentioning

confidence: 99%

Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis

Korhonen

Hernandez-Pavon

Metsomaa

et al. 2011

Med Biol Eng Comput

114

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We present two techniques utilizing independent component analysis (ICA) to remove large muscle artifacts from transcranial magnetic stimulation (TMS)-evoked EEG signals. The first one is a novel semi-automatic technique, called enhanced deflation method (EDM). EDM is a modification of the deflation mode of the FastICA algorithm; with an enhanced independent component search, EDM is an effective tool for removing the large, spiky muscle artifacts. The second technique, called manual method (MaM) makes use of the symmetric mode of FastICA and the artifactual components are visually selected by the user. In order to evaluate the success of the artifact removal methods, four different quality parameters, based on curve comparison and frequency analysis, were studied. The dorsal premotor cortex (dPMC) and Broca's area (BA) were stimulated with TMS. Both methods removed the very large muscle artifacts recorded after stimulation of these brain areas. However, EDM was more stable, less subjective, and thus also faster to use than MaM. Until now, examining lateral areas of the cortex with TMS-EEG has been restricted because of strong muscle artifacts. The methods described here can remove those muscle artifacts, allowing one to study lateral areas of the human brain, e.g., BA, with TMS-EEG.

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“…Initial studies have characterised both early (5 -30 ms) and later potentials (45 -300 ms) comprising several positive and negative potentials (Bonato et al, 2006;Casarotto et al, 2010;Esser et al, 2006;Komssi et al, 2004;Lioumis, Kicic, Savolainen, Makeka, & Kahkoen, 2009;Veniero, Maioli, & Miniussi, 2010). Subsequently, a handful of studies have provided evidence of TEP modulation both during and following application of plasticity-inducing NIBS protocols (Esser et al, 2006;Hamidi, Slagter, Tononi, & Postle, 2010;Huber et al, 2008;Veniero et al, 2010), suggesting that TEPs will likely prove valuable for investigating induced plastic changes within non-motor areas.…”

Section: How Do We Investigate Nibs-induced Plasticity?mentioning

confidence: 99%

Non-invasive induction of plasticity in the human cortex: Uses and limitations

Vallence

Ridding

2014

Cortex

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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 AbstractThe last couple of decades have seen the development of a number of non-invasive brain stimulation (NIBS) techniques that are capable of inducing short-lasting plasticity in the human cortex. Importantly, the induction of lasting plastic changes can, under some conditions, reversibly modify behaviour and interact with learning.These techniques have provided novel opportunities to study human cortical plasticity and examine the role of cortical regions in behaviour. In this review we briefly summarise current NIBS techniques, outline approaches to characterise and quantify cortical plastic change, and describe mechanisms that are implicated in the induced

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Brain responses evoked by high-frequency repetitive transcranial magnetic stimulation: An event-related potential study

Cited by 67 publications

References 56 publications

Task-dependent changes in cortical excitability and effective connectivity: a combined TMS-EEG study

Task-dependent changes in cortical excitability and effective connectivity: a combined TMS-EEG study

Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis

Non-invasive induction of plasticity in the human cortex: Uses and limitations

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