Sound comparison of seven TMS coils at matched stimulation strength

Koponen, Lari M.; Goetz, Stefan M.; Tucci, Debara L.; Peterchev, Angel V.

doi:10.1016/j.brs.2020.03.004

Cited by 38 publications

(51 citation statements)

References 31 publications

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“…Also, the accuracy of the TMS-navigation unit at hand is a key factor; indeed, the settings (coil position coordinates and rotation) identified during the parameter search in rt-TEP must be precisely retrieved and held steady throughout the actual measurement. Finally, TMS hardware, coils and pulse waveshapes can differ largely in their focality, efficacy on cortical circuits and collateral effects (magnetic artifacts, scalp and auditory stimulation) (Van Doren et al, 2015;Koponen et al, 2020). As major theoretical and technical efforts are currently ongoing to optimize these factors, rt-TEP may represent a useful tool to empirically explore and compare the effectiveness of the different solutions.…”

Section: Rt-tep: Caveats and Limitationsmentioning

confidence: 99%

The rt-TEP tool: real-time visualization of TMS-Evoked Potential to maximize cortical activation and minimize artifacts

Casarotto

Fecchio

Rosanova

et al. 2021

Preprint

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Background The impact of transcranial magnetic stimulation (TMS) on cortical neurons is currently hard to predict based on a priori biophysical and anatomical knowledge alone. This problem can hamper the reliability and reproducibility of protocols aimed at measuring electroencephalographic (EEG) responses to TMS. New Method We introduce and release a novel software tool to facilitate and standardize the acquisition of TMS-evoked potentials (TEPs). The tool, rt-TEP (real-time TEP), interfaces with different EEG amplifiers and offers a series of informative visualization modes to assess in real time the immediate impact of TMS on the underlying neuronal circuits. Results We show that rt-TEP can be used to abolish or minimize magnetic and muscle artifacts contaminating the post-stimulus period thus affording a clear visualization and quantification of the amplitude of the early (<50 ms) EEG response after averaging a limited number of trials. This real-time readout can then be used to adjust TMS parameters (e.g. site, orientation, intensity) and experimental settings (e.g. loudness and/or spectral features of the noise masking) to ultimately maximize direct cortical effects over the undesired sensory effects of the coil's discharge. Comparison with Existing Methods The ensemble of real-time visualization modes of rt-TEP are not implemented in any current commercial software and provide a key readout to titrate TMS parameters beyond the a priori information provided by anatomical models. Conclusions Real-time optimization of stimulation parameters with rt-TEP can facilitate the acquisition of reliable TEPs with a high signal-to-noise ratio and improve the standardization and reproducibility of data collection across laboratories.

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Section: Rt-tep: Caveats and Limitationsmentioning

confidence: 99%

The rt-TEP tool: real-time visualization of TMS-Evoked Potential to maximize cortical activation and minimize artifacts

Casarotto

Fecchio

Rosanova

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…[ 12 ] However, rTMS on the static head directly might be limited with some potential risks like scalp tingling and burning, hearing impairment, even seizure, especially for the ones with metal implants in skull or body. [ 28 ] Moreover, it is inconvenient for insomnia patients to receive continuing care in daily life with rTMS at DLPFC. For this, rMS at acupoint on CI may be a promising alternative therapy.…”

Section: Discussionmentioning

confidence: 99%

Effect of low frequency repetitive magnetic stimulation at Shenmen (HT7) on sleep quality in patients with chronic insomnia

et al. 2020

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Background: Insomnia is a common, recurrent, and tenacious sleep problem, especially the chronic insomnia. Repetitive transcranial magnetic stimulation (rTMS) at right dorsolateral prefrontal cortex (r-DLPFC) is used in chronic insomnia, and repetitive magnetic stimulation (rMS) at Shenmen (HT7) acupoint may be an alternative approach. However, the efficacy and mechanism of rMS at HT7 acupoint for chronic insomnia has not been confirmed. Methods/design: This is a 3-armed randomized positive-controlled noninferiority clinical trial. We will allocate 45 subjects aged between 18 and 65 years old, diagnosed with initial chronic insomnia over 3 months to 3 groups randomly in a ratio of 1:1:1. Patients in the experimental group will be treated with rMS at HT7 acupoint while the others in the control group will be treated with rTMS at r-DLPFC or waiting treatment. All will be given rMS at HT7 or rTMS at r-DLPFC or no treatment for 10 days, and then received 20-day follow-up. Patients will be evaluated with the insomnia severity index and Pittsburgh sleep quality index for sleep state, Beck Depression Inventory-2nd edition scores for the depression state, Beck anxiety inventory scores for the anxiety state, and Montreal Cognitive Assessment scores for the cognition state before and the 10th day of treatment, 30th day of follow-up; study on mechanisms of rMS will be revealed through the resting motor threshold diversity of the motor cortex before and the 10th day of treatment, 30th day of follow-up. Baseline characteristics of patients will be summarized by groups and compared with Chi-squared for categorical variables, and analysis of variance or Kruskal–Wallis test for the continuous variables. Primary and secondary outcomes according to the measurement times are applicable to univariate repetitive measurement deviation analysis or analysis of variance, or Kruskal–Wallis test. Conclusion: The present study is designed to preliminarily investigate short-term efficacy and mechanism of rMS at HT7 acupoint therapy on chronic insomnia, also to explore the correlation between motor cortex excitability and chronic insomnia. With this research, we are looking forward to find out an appropriate alternative and easy therapy for chronic insomnia individuals compared with rTMS at r-DLPFC. Trial Registration: The trial was registered on Chinese Clinical Trial Registry ( http://www.chictr.org.cn/index.aspx ) with the ID ChiCTR1900026844 on October 24, 2019.

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“…A TMS pulse is usually accompanied by a loud click sound with a pressure of 100–120 dB [ 78 , 95 , 96 ] due to the electrical discharge of the TMS coil. This noise can trigger a peripheral auditory evoked potential (AEP) [ 70 ].…”

Section: Muscle Activation and Spurious Potentials Evoked By Tms Cmentioning

confidence: 99%

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures

Varone

Hussain

Sheikh

et al. 2021

Sensors

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Transcranial magnetic stimulation (TMS) excites neurons in the cortex, and neural activity can be simultaneously recorded using electroencephalography (EEG). However, TMS-evoked EEG potentials (TEPs) do not only reflect transcranial neural stimulation as they can be contaminated by artifacts. Over the last two decades, significant developments in EEG amplifiers, TMS-compatible technology, customized hardware and open source software have enabled researchers to develop approaches which can substantially reduce TMS-induced artifacts. In TMS-EEG experiments, various physiological and external occurrences have been identified and attempts have been made to minimize or remove them using online techniques. Despite these advances, technological issues and methodological constraints prevent straightforward recordings of early TEPs components. To the best of our knowledge, there is no review on both TMS-EEG artifacts and EEG technologies in the literature to-date. Our survey aims to provide an overview of research studies in this field over the last 40 years. We review TMS-EEG artifacts, their sources and their waveforms and present the state-of-the-art in EEG technologies and front-end characteristics. We also propose a synchronization toolbox for TMS-EEG laboratories. We then review subject preparation frameworks and online artifacts reduction maneuvers for improving data acquisition and conclude by outlining open challenges and future research directions in the field.

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Sound comparison of seven TMS coils at matched stimulation strength

Cited by 38 publications

References 31 publications

The rt-TEP tool: real-time visualization of TMS-Evoked Potential to maximize cortical activation and minimize artifacts

The rt-TEP tool: real-time visualization of TMS-Evoked Potential to maximize cortical activation and minimize artifacts

Effect of low frequency repetitive magnetic stimulation at Shenmen (HT7) on sleep quality in patients with chronic insomnia

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures

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