The impact of GABAergic drugs on TMS-induced brain oscillations in human motor cortex

Premoli, Isabella; Bergmann, Til Ole; Fecchio, Matteo; Rosanova, Mario; Biondi, Andrea; Belardinelli, Paolo; Ziemann, Ulf

doi:10.1016/j.neuroimage.2017.09.023

Cited by 81 publications

(103 citation statements)

References 76 publications

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“…; Premoli et al . ). For the real TMS conditions, the activation patterns of TMS‐induced oscillations in the a priori defined TOI for the alpha and beta bands were substantially similar across different stimulation intensities (Fig.…”

Section: Resultsmentioning

confidence: 97%

“…A TMS‐induced early power increase and late power decrease observed after TMS of M1 may be controlled by several inhibitory mechanisms, as they are enhanced by GABA A and GABA B receptor agonists (Premoli et al . ). It has been suggested that induced oscillatory activity captures processes that evolve over hundreds of milliseconds and result from intrinsic network interactions within the brain (Donner & Siegel, ).…”

Section: Discussionmentioning

confidence: 97%

“…Therefore, the effect of a local excitability state (μ‐phase) may only be observed in transient responses phase‐locked to stimulus onset (TEPs), while modulation of non‐phase‐locked induced activity may be observed only when network balances are altered (Premoli et al . ).…”

Section: Discussionmentioning

confidence: 97%

“…; Premoli et al . ). The boundaries were 50–200 ms (80–200 ms for the sham TMS block) and 200–600 ms for the early and late TOI, respectively.…”

Section: Methodsmentioning

confidence: 97%

“…; Premoli et al . ). Previous research has shown that the current brain state influences amplitude and spatio‐temporal spread of EEG responses following TMS (Massimini et al .…”

Section: Introductionmentioning

confidence: 97%

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Phase of sensorimotor μ‐oscillation modulates cortical responses to transcranial magnetic stimulation of the human motor cortex

Desideri

Zrenner

Ziemann

et al. 2019

The Journal of Physiology

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Key points Oscillatory brain activity coordinates the response of cortical neurons to synaptic inputs in a phase‐dependent manner. Larger motor‐evoked responses are obtained in a hand muscle when transcranial magnetic stimulation (TMS) is synchronized to the phase of the sensorimotor μ‐rhythm. In this study we further showed that TMS applied at the negative vs. positive peak of the μ‐rhythm is associated with higher absolute amplitude of the evoked EEG potential at 100 ms after stimulation. This demonstrates that cortical responses are sensitive to excitability fluctuation with brain oscillations Our results indicate that brain state‐dependent stimulation is a new useful technique for the investigation of stimulus‐related cortical dynamics. Abstract Oscillatory brain activity coordinates the response of cortical neurons to synaptic inputs in a phase‐dependent manner. Transcranial magnetic stimulation (TMS) of the human primary motor cortex elicits larger motor‐evoked potentials (MEPs) when applied at the negative vs. positive peak of the sensorimotor μ‐rhythm recorded with EEG, demonstrating that this phase represents a state of higher excitability of the cortico‐spinal system. Here, we investigated the influence of the phase of the μ‐rhythm on cortical responses to TMS as measured by EEG. We tested different stimulation intensities above and below resting motor threshold (RMT), and a realistic sham TMS condition. TMS at 110% RMT applied at the negative vs. positive peak of the μ‐rhythm was associated with higher absolute amplitudes of TMS‐evoked potentials at 70 ms (P70) and 100 ms (N100). Enhancement of the N100 was confirmed with negative peak‐triggered 90% RMT TMS, while phase of the μ‐rhythm did not influence evoked responses elicited by sham TMS. These findings extend the idea that TMS applied at the negative vs. positive peak of the endogenous μ‐oscillation recruits a larger portion of neurons as a function of stimulation intensity. This further corroborates that brain oscillations determine fluctuations in cortical excitability and establishes phase‐triggered EEG‐TMS as a sensitive tool to investigate the effects of brain oscillations on stimulus‐related cortical dynamics.

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Section: Resultsmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 97%

“…; Premoli et al . ). The boundaries were 50–200 ms (80–200 ms for the sham TMS block) and 200–600 ms for the early and late TOI, respectively.…”

Section: Methodsmentioning

confidence: 97%

“…; Premoli et al . ). Previous research has shown that the current brain state influences amplitude and spatio‐temporal spread of EEG responses following TMS (Massimini et al .…”

Section: Introductionmentioning

confidence: 97%

See 3 more Smart Citations

Phase of sensorimotor μ‐oscillation modulates cortical responses to transcranial magnetic stimulation of the human motor cortex

Desideri

Zrenner

Ziemann

et al. 2019

The Journal of Physiology

Self Cite

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The effects of individualised intermittent theta burst stimulation in the prefrontal cortex: A TMS‐EEG study

Chung

Sullivan

Rogasch

et al. 2018

Human Brain Mapping

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Recent studies have highlighted variability in response to theta burst stimulation (TBS) in humans. TBS paradigm was originally developed in rodents to mimic gamma bursts coupled with theta rhythms, and was shown to elicit long‐term potentiation. The protocol was subsequently adapted for humans using standardised frequencies of stimulation. However, each individual has different rhythmic firing pattern. The present study sought to explore whether individualised intermittent TBS (Ind iTBS) could outperform the effects of two other iTBS variants. Twenty healthy volunteers received iTBS over left prefrontal cortex using 30 Hz at 6 Hz, 50 Hz at 5 Hz, or individualised frequency in separate sessions. Ind iTBS was determined using theta‐gamma coupling during the 3‐back task. Concurrent use of transcranial magnetic stimulation and electroencephalography (TMS‐EEG) was used to track changes in cortical plasticity. We also utilised mood ratings using a visual analogue scale and assessed working memory via the 3‐back task before and after stimulation. No group‐level effect was observed following either 30 or 50 Hz iTBS in TMS‐EEG. Ind iTBS significantly increased the amplitude of the TMS‐evoked P60, and decreased N100 and P200 amplitudes. A significant positive correlation between neurophysiological change and change in mood rating was also observed. Improved accuracy in the 3‐back task was observed following both 50 Hz and Ind iTBS conditions. These findings highlight the critical importance of frequency in the parameter space of iTBS. Tailored stimulation parameters appear more efficacious than standard paradigms in neurophysiological and mood changes. This novel approach presents a promising option and benefits may extend to clinical applications.

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Transcranial magnetic stimulation‐evoked electroencephalography responses as biomarkers for epilepsy: A review of study design and outcomes

Gefferie

Jiménez‐Jiménez

Visser

et al. 2023

Human Brain Mapping

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Transcranial magnetic stimulation (TMS) with electroencephalography (EEG), that is TMS‐EEG, may assist in managing epilepsy. We systematically reviewed the quality of reporting and findings in TMS‐EEG studies on people with epilepsy and healthy controls, and on healthy individuals taking anti‐seizure medication. We searched the Cochrane Library, Embase, PubMed and Web of Science databases for original TMS‐EEG studies comparing people with epilepsy and healthy controls, and healthy subjects before and after taking anti‐seizure medication. Studies should involve quantitative analyses of TMS‐evoked EEG responses. We evaluated the reporting of study population characteristics and TMS‐EEG protocols (TMS sessions and equipment, TMS trials and EEG protocol), assessed the variation between protocols, and recorded the main TMS‐EEG findings. We identified 20 articles reporting 14 unique study populations and TMS methodologies. The median reporting rate for the group of people with epilepsy parameters was 3.5/7 studies and for the TMS parameters was 13/14 studies. TMS protocols varied between studies. Fifteen out of 28 anti‐seizure medication trials in total were evaluated with time‐domain analyses of single‐pulse TMS‐EEG data. Anti‐seizure medication significantly increased N45, and decreased N100 and P180 component amplitudes but in marginal numbers (N45: 8/15, N100: 7/15, P180: 6/15). Eight articles compared people with epilepsy and controls using different analyses, thus limiting comparability. The reporting quality and methodological uniformity between studies evaluating TMS‐EEG as an epilepsy biomarker is poor. The inconsistent findings question the validity of TMS‐EEG as an epilepsy biomarker. To demonstrate TMS‐EEG clinical applicability, methodology and reporting standards are required.

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The impact of GABAergic drugs on TMS-induced brain oscillations in human motor cortex

Cited by 81 publications

References 76 publications

Phase of sensorimotor μ‐oscillation modulates cortical responses to transcranial magnetic stimulation of the human motor cortex

Phase of sensorimotor μ‐oscillation modulates cortical responses to transcranial magnetic stimulation of the human motor cortex

The effects of individualised intermittent theta burst stimulation in the prefrontal cortex: A TMS‐EEG study

Transcranial magnetic stimulation‐evoked electroencephalography responses as biomarkers for epilepsy: A review of study design and outcomes

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