Готові списки джерел за темами / EEG-TMS

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Добірка наукової літератури з теми "EEG-TMS"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "EEG-TMS"

Ilmoniemi, R. J. "TMS–EEG: Methodology." Clinical Neurophysiology 127, no. 3 (March 2016): e21. http://dx.doi.org/10.1016/j.clinph.2015.11.057.

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Peters, Judith C., Joel Reithler, Teresa Schuhmann, Tom de Graaf, Kâmil Uludağ, Rainer Goebel, and Alexander T. Sack. "On the feasibility of concurrent human TMS-EEG-fMRI measurements." Journal of Neurophysiology 109, no. 4 (February 15, 2013): 1214–27. http://dx.doi.org/10.1152/jn.00071.2012.

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Simultaneously combining the complementary assets of EEG, functional MRI (fMRI), and transcranial magnetic stimulation (TMS) within one experimental session provides synergetic results, offering insights into brain function that go beyond the scope of each method when used in isolation. The steady increase of concurrent EEG-fMRI, TMS-EEG, and TMS-fMRI studies further underlines the added value of such multimodal imaging approaches. Whereas concurrent EEG-fMRI enables monitoring of brain-wide network dynamics with high temporal and spatial resolution, the combination with TMS provides insights in causal interactions within these networks. Thus the simultaneous use of all three methods would allow studying fast, spatially accurate, and distributed causal interactions in the perturbed system and its functional relevance for intact behavior. Concurrent EEG-fMRI, TMS-EEG, and TMS-fMRI experiments are already technically challenging, and the three-way combination of TMS-EEG-fMRI might yield additional difficulties in terms of hardware strain or signal quality. The present study explored the feasibility of concurrent TMS-EEG-fMRI studies by performing safety and quality assurance tests based on phantom and human data combining existing commercially available hardware. Results revealed that combined TMS-EEG-fMRI measurements were technically feasible, safe in terms of induced temperature changes, allowed functional MRI acquisition with comparable image quality as during concurrent EEG-fMRI or TMS-fMRI, and provided artifact-free EEG before and from 300 ms after TMS pulse application. Based on these empirical findings, we discuss the conceptual benefits of this novel complementary approach to investigate the working human brain and list a number of precautions and caveats to be heeded when setting up such multimodal imaging facilities with current hardware.

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Varone, Giuseppe, Zain Hussain, Zakariya Sheikh, Adam Howard, Wadii Boulila, Mufti Mahmud, Newton Howard, Francesco Carlo Morabito, and Amir Hussain. "Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures." Sensors 21, no. 2 (January 18, 2021): 637. http://dx.doi.org/10.3390/s21020637.

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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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Nardone, Raffaele, Luca Sebastianelli, Viviana Versace, Davide Ferrazzoli, Leopold Saltuari, and Eugen Trinka. "TMS–EEG Co-Registration in Patients with Mild Cognitive Impairment, Alzheimer’s Disease and Other Dementias: A Systematic Review." Brain Sciences 11, no. 3 (February 27, 2021): 303. http://dx.doi.org/10.3390/brainsci11030303.

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Анотація:

An established method to assess effective brain connectivity is the combined use of transcranial magnetic stimulation with simultaneous electroencephalography (TMS–EEG) because TMS-induced cortical responses propagate to distant anatomically connected brain areas. Alzheimer’s disease (AD) and other dementias are associated with changes in brain networks and connectivity, but the underlying pathophysiology of these processes is poorly defined. We performed here a systematic review of the studies employing TMS–EEG co-registration in patients with dementias. TMS–EEG studies targeting the motor cortex have revealed a significantly reduced TMS-evoked P30 in AD patients in the temporo-parietal cortex ipsilateral to stimulation side as well as in the contralateral fronto-central area, and we have demonstrated a deep rearrangement of the sensorimotor system even in mild AD patients. TMS–EEG studies targeting other cortical areas showed alterations of effective dorsolateral prefrontal cortex connectivity as well as an inverse correlation between prefrontal-to-parietal connectivity and cognitive impairment. Moreover, TMS–EEG analysis showed a selective increase in precuneus neural activity. TMS–EEG co-registrations can also been used to investigate whether different drugs may affect cognitive functions in patients with dementias.

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Fong, P. Y., D. Spampinato, L. Rocchi, J. Ibáñez, K. Brown, A. Latorre, A. Di Santo, K. Bhatia, and J. Rothwell. "P63 Cerebellar TMS-EEG." Clinical Neurophysiology 131, no. 4 (April 2020): e47. http://dx.doi.org/10.1016/j.clinph.2019.12.174.

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Noda, Yoshihiro. "Potential Neurophysiological Mechanisms of 1Hz-TMS to the Right Prefrontal Cortex for Depression: An Exploratory TMS-EEG Study in Healthy Participants." Journal of Personalized Medicine 11, no. 2 (January 24, 2021): 68. http://dx.doi.org/10.3390/jpm11020068.

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Background: The present study aimed to examine the acute neurophysiological effects of 1Hz transcranial magnetic stimulation (TMS) administered to the right dorsolateral prefrontal cortex (DLPFC) in healthy participants. Methods: TMS combined with simultaneous electroencephalography (EEG) recording was conducted for 21 healthy participants. For the right DLPFC, 1Hz-TMS (100 pulses/block × 17 sessions) was applied in the resting-state, while for the left DLPFC, 1Hz-TMS (100 pulses/block × 2 sessions) was administered during the verbal fluency tasks (VFTs). For TMS-EEG data, independent component analysis (ICA) was applied to extract TMS-evoked EEG potentials to calculate TMS-related power as well as TMS-related coherence from the F4 and F3 electrode sites during the resting-state and VFTs. Results: TMS-related power was significantly increased in alpha, beta, and gamma bands by 1Hz-TMS at the stimulation site during the resting-state, while TMS-related power was significantly increased in alpha and beta bands but not in the gamma band during the VFTs. On the other hand, TMS-related coherence in alpha and beta bands significantly increased but not in gamma band by 1Hz-TMS that was administered to the right DLPFC in resting-state, whereas there were no significant changes in coherence for all frequency bands by 1Hz-TMS that applied to the left DLPFC during the VFTs. Conclusions: Collectively, 1Hz-repetitive TMS (rTMS) to the right DLPFC may rapidly neuromodulate EEG activity, which might be associated with a therapeutic mechanism for depression.

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Veniero, Domenica, Marta Bortoletto, and Carlo Miniussi. "TMS-EEG co-registration: On TMS-induced artifact." Clinical Neurophysiology 120, no. 7 (July 2009): 1392–99. http://dx.doi.org/10.1016/j.clinph.2009.04.023.

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Pastiadis, Konstantinos, Ioannis Vlachos, Evangelia Chatzikyriakou, Yiftach Roth, Samuel Zibman, Abraham Zangen, Dimitris Kugiumtzis, and Vasilios K. Kimiskidis. "Auditory Fine-Tuned Suppressor of TMS-Clicks (TMS-Click AFTS): A Novel, Perceptually Driven/Tuned Approach for the Reduction in AEP Artifacts in TMS-EEG Studies." Applied Sciences 13, no. 2 (January 12, 2023): 1047. http://dx.doi.org/10.3390/app13021047.

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TMS contaminates concurrent EEG recordings with Auditory Evoked Potentials (AEPs), which are caused by the perceived impulsive acoustic noise of the TMS coils. We hereby introduce a novel and perceptually motivated/tuned method for the suppression of auditory evoked EEG artifacts of rTMS under the name of “Auditory Fine-Tuned Suppressor of TMS-Clicks” (TMS-click AFTS). The proposed method is based on the deployment of a psychophysically-matched wide-band noise (WBN) masking stimulus, whose parametric synthesis and presentation are based upon adaptive psychophysical optimization. The masking stimulus is constructed individually for each patient/subject, thus facilitating aspects of precision medicine. A specially designed automation software is used for the realization of an adaptive procedure for optimal parameterization of masking noise level, optimizing both the subject’s comfort and the degree of AEP reduction. The proposed adaptive procedure also takes into account the combined effect of TMS intensity level and can as well account for any possibly available subject’s hearing acuity data. To assess the efficacy of the proposed method in reducing the acoustic effects of TMS, we performed TMS-EEG recordings with a 60 channel TMS-compatible EEG system in a cohort of healthy subjects (n = 10) and patients with epilepsy (n = 10) under four conditions (i.e., resting EEG with and without acoustic mask and sham TMS-EEG with and without acoustic mask at various stimulus intensity levels). The proposed approach shows promising results in terms of efficiency of AEP suppression and subject’s comfort and warrants further investigation in research and clinical settings.

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Takano, Mayuko, Masataka Wada, Reza Zomorrodi, Keita Taniguchi, Xuemei Li, Shiori Honda, Yui Tobari, et al. "Investigation of Spatiotemporal Profiles of Single-Pulse TMS-Evoked Potentials with Active Stimulation Compared with a Novel Sham Condition." Biosensors 12, no. 10 (October 1, 2022): 814. http://dx.doi.org/10.3390/bios12100814.

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Identifying genuine cortical stimulation-elicited electroencephalography (EEG) is crucial for improving the validity and reliability of neurophysiology using transcranial magnetic stimulation (TMS) combined with EEG. In this study, we evaluated the spatiotemporal profiles of single-pulse TMS-elicited EEG response administered to the left dorsal prefrontal cortex (DLPFC) in 28 healthy participants, employing active and sham stimulation conditions. We hypothesized that the early component of TEP would be activated in active stimulation compared with sham stimulation. We specifically analyzed the (1) stimulus response, (2) frequency modulation, and (3) phase synchronization of TMS–EEG data at the sensor level and the source level. Compared with the sham condition, the active condition induced a significant increase in TMS-elicited EEG power in the 30–60 ms time interval in the stimulation area at the sensor level. Furthermore, in the source-based analysis, the active condition induced significant increases in TMS-elicited response in the 30–60 ms compared with the sham condition. Collectively, we found that the active condition could specifically activate the early component of TEP compared with the sham condition. Thus, the TMS–EEG method that was applied to the DLPFC could detect the genuine neurophysiological cortical responses by properly handling potential confounding factors such as indirect response noises.

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Tscherpel, Caroline, Sebastian Dern, Lukas Hensel, Ulf Ziemann, Gereon R. Fink, and Christian Grefkes. "Brain responsivity provides an individual readout for motor recovery after stroke." Brain 143, no. 6 (May 6, 2020): 1873–88. http://dx.doi.org/10.1093/brain/awaa127.

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Abstract Promoting the recovery of motor function and optimizing rehabilitation strategies for stroke patients is closely associated with the challenge of individual prediction. To date, stroke research has identified critical pathophysiological neural underpinnings at the cellular level as well as with regard to network reorganization. However, in order to generate reliable readouts at the level of individual patients and thereby realize translation from bench to bedside, we are still in a need for innovative methods. The combined use of transcranial magnetic stimulation (TMS) and EEG has proven powerful to record both local and network responses at an individual’s level. To elucidate the potential of TMS-EEG to assess motor recovery after stroke, we used neuronavigated TMS-EEG over ipsilesional primary motor cortex (M1) in 28 stroke patients in the first days after stroke. Twenty-five of these patients were reassessed after >3 months post-stroke. In the early post-stroke phase (6.7 ± 2.5 days), the TMS-evoked EEG responses featured two markedly different response morphologies upon TMS to ipsilesional M1. In the first group of patients, TMS elicited a differentiated and sustained EEG response with a series of deflections sequentially involving both hemispheres. This response type resembled the patterns of bilateral activation as observed in the healthy comparison group. By contrast, in a subgroup of severely affected patients, TMS evoked a slow and simplified local response. Quantifying the TMS-EEG responses in the time and time-frequency domain revealed that stroke patients exhibited slower and simple responses with higher amplitudes compared to healthy controls. Importantly, these patterns of activity changes after stroke were not only linked to the initial motor deficit, but also to motor recovery after >3 months post-stroke. Thus, the data revealed a substantial impairment of local effects as well as causal interactions within the motor network early after stroke. Additionally, for severely affected patients with absent motor evoked potentials and identical clinical phenotype, TMS-EEG provided differential response patterns indicative of the individual potential for recovery of function. Thereby, TMS-EEG extends the methodological repertoire in stroke research by allowing the assessment of individual response profiles.

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Більше джерел

Дисертації з теми "EEG-TMS"

Santos, Maria Inês Fonseca Silva. "Quantification of the TMS-EEG response in epilepsy." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8502.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica
Purpose: The purpose of this thesis was to provide quantitative measures of the co-registration of transcranial magnetic stimulation (TMS) and electroencephalogram (EEG). The EEG is used to study changes in the neuronal activity evoked by the non-invasive technique TMS. These effects are determined mainly based on clinical judgment. Current uses in the diagnosis of epilepsy are based only on EEG, not taking into consideration the low sensitivity in the interictal period, in particular if routine recordings are used. Methods: Patient data was gathered, analyzed and compared to healthy controls. A total of ten patients and eighteen healthy subjects underwent sessions of 75 TMS pulses. The responses to the pulses were filtered and averaged. The use of topographical scalp plots of amplitude and power, and time-series analysis of power in search for late responses provide results which enable separation of epilepsy patients and healthy controls. By investigating the significance of the results it is also possible to determine, in a quantitative way how reliable the methods are for distinguishing between the two groups. Results: The definition of what is a response is critical in this project, and as such must consider: significant power change, be above a certain amplitude, and be localized. Still, this procedure results in a non distinguishable threshold to separate both groups. Conclusions: Analysis of the receiver operating characteristic (ROC) curves also led to the understanding the method established is not entirely reliable because it cannot in fact determine differences. Since all patients were under treatment with anti-epileptic drugs(AEDs), it becomes necessary to elaborate a pilot study with recently diagnosed subjects where hyperexcitability is still present.

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Mazzoni, Giovanni. "implementazione ed analisi di strumentazioni combinate: eeg e tms." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23341/.

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Prima dello sviluppo di tecniche quali quelle di Risonanza Magnetico Nucleare (RMN), di Tomografia Assiale Computerizzata (TAC) e di molteplici altre, si sono sviluppate, specifiche per l’area cerebrale, le strumentazioni di Elettroencefalografia (EEG) e di Stimolazione Magnetica Transcranica (TMS). Attraverso cinque capitoli questo elaborato fornisce una visione generale dello stato dell'arte delle strumentazioni di EEG e TMS, osservate da prima singolarmente poi accoppiate. Infine se ne osservano i possibili sviluppi futuri ed alcuni casi clinici e sperimentali correlati ad essi.

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Repper-Day, Christopher. "Mapping dynamic brain connectivity using EEG, TMS, and Transfer Entropy." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/mapping-dynamic-brain-connectivity-using-eeg-tms-and-transfer-entropy(27a55697-1b4f-40e0-8d07-0a53d3e67a24).html.

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To understand how the brain functions, we must investigate the transient interactions that underpin communication between cortical regions. EEG possesses the optimal temporal resolution to capture functional connectivity, but it lacks the spatial resolution to identify the cortical locations responsible. To circumvent this problem electrophysiological connectivity should be investigated at the source level. There are many quantifiers of connectivity applied to EEG data, but some are not sensitive to the direct, or indirect, influence of one region over another, and others require the specification of a priori models so are unsuitable for exploratory analyses. Transfer Entropy (TE) can be used to infer the direction of linear and non-linear information exchange between signals over a range of time-delays within EEG data. This thesis explores the creation of a new method of mapping dynamic brain connectivity using a trial-based TE analysis of EEG source data, and the application of this technique to the investigation of semantic and number processing within the brain. The first paper (Chapter 2) documents the analyses of a semantic category and number magnitude judgement task using traditional ERP techniques. As predicted, the well-known semantic N400 component was found, and localised to left ATL and inferior frontal cortex. An N365 component related to number magnitude judgement was localised to right superior parietal regions including the IPS. These results offer support for the hub-and-spoke model of semantics, and the triple parietal model of number processing. The second paper (Chapter 3) documents an analysis of the same data with the new trial-based TE analysis. Word and number data were analysed at 0-200ms, 200-400ms, and 400-600ms following stimulus presentation. In the earliest window, information exchange was occurring predominately between occipital sources, but by the latest window it had become spread out across the brain. Task-dependent differences of regional information exchange revealed that temporal sources were sending more information to occipital sources following words at 0-200ms. Furthermore, the direction and timing of information movement within a front-temporal-parietal network was identified during 0-400ms of the number magnitude judgment. The final paper (Chapter 4), documents an attempt to track the influence of TMS through the brain using the TE analysis. TMS was applied to bilateral ATL and IPS because they are both important hubs in the brain networks that support semantic and number processing respectively. Left ATL TMS influenced sources located primarily in wide-spread left temporal lobe, and inferior frontal and inferior occipital cortices. The anatomical connectivity profile of the temporal lobe suggests that these are all plausible locations, and they exhibited excellent spatial similarities to the results of neuroimaging experiments that probed semantic knowledge. The analysis of right ATL TMS obtained a mirror image of the left. Left parietal stimulation resulted in a bilateral parietal, superior occipital, and superior prefrontal influence, which extended slightly further in the ipsilateral hemisphere to stimulation site. A result made possible by the short association and callosal fibres that connect these areas. Again, the results at the contralateral site were a virtual mirror image. The thesis concludes with a review of the experimental findings, and a discussion of methodological issues still to be resolved, ideas for extensions to the method, and the broader implications of the method on connectivity research.

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Rowe, P. "The temporal nature of affordance : an investigation using EEG and TMS." Thesis, City, University of London, 2018. http://openaccess.city.ac.uk/20554/.

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Affordances play a part in how we prepare to handle objects. Tools and other manipulable objects are said to automatically “afford” various actions depending upon the motor repertoire of the actor. Evidence obtained through behavioural experiments, fMRI, EEG and TMS has proven that this is the case but, as yet, the temporal evolution of affordances has not been fully investigated. Determining the critical time-scale may have significance to patients with brain damage or motor disorders when attempting object manipulation. There are many other factors involved in therapy but it is worth considering that there could be an optimum period of time to view an object before the benefit of an automatic affordance is no longer available. In a series of experiments using the novel approach of positioning the participant’s dominant hand closer to or further from the object being viewed, together with use of three dimensional stimuli, and through application of behavioural assays, TMS pulses and EEG recordings, this research examined temporal properties of affordances in young healthy control subjects. Verification of this motoric activity by EEG led to investigating chronic phase stroke survivors with remaining upper limb deficits and comparing their brain activity with age-matched control participants. As EEG and TMS both have good temporal properties, they are ideal converging methodologies for this kind of investigation. By mapping how affordances develop and dissipate, this work has yielded pure scientific advances in the field of motor decision making. Further, it has resulted in suggestions for future research relating to a possible method to improve rehabilitation interventions for patients who are neurologically impaired by stroke.

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Pawley, Adam David. "Novel TMS and EEG markers of diagnosis and treatment response in epilepsy." Thesis, King's College London (University of London), 2015. https://kclpure.kcl.ac.uk/portal/en/theses/novel-tms-and-eeg-markers-of-diagnosis-and-treatment-response-in-epilepsy(02e6922a-e038-41af-bac9-169770fb7d05).html.

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Approximately 30% of epilepsy patients do not respond to treatment, whereas others attain seizure freedom with the same medication, the reasons remain unclear. Previous work utilised transcranial magnetic stimulation (TMS) to reveal predictive markers of treatment response in new-onset drug-naïve patients, distinguishing good responders from those who become intractable. I hypothesised that these markers should also be present in long-term treatment resistant epilepsy, allowing outcome prediction in patients commencing new medications. A central hypothesis in this thesis is that, interictal brain dynamics in epilepsy differ from the stable state of the healthy brain and are related to seizure frequency. I addressed this using TMS measures of excitation and inhibition, and electroencephalography (EEG) as a measure of the larger-scale electrophysiological dynamic system. Using existing TMS data I examined motor evoked potentials (MEPs) in Idiopathic generalised epilepsy (IGE). MEPs were more polyphasic in patients and their relatives than controls, which may represent an inherited endophenotype. TMS measures were also compared between patients with well and poorly controlled epilepsy. Findings broadly indicated that poorly controlled patients have reduced excitability vs well controlled, the reasons are unknown, although a protective homeostatic mechanism may be responsible. Furthermore, TMS parameters in well-controlled epilepsy were closer to healthy controls than poorly controlled patients. A longitudinal TMS study in chronic epilepsy with patients studied before and after treatment change, revealed a weak effect suggesting reduced excitability in poor responders, although a range of factors suggested that TMS would not have utility as a predictive marker clinically. A pilot study also investigated whether external trigeminal nerve stimulation (eTNS) has a measureable effect on brain excitability. There was a small effect which may associate with treatment outcome. Finally, EEG measures were compared in well and poorly-controlled epilepsy, with the profile of a well-controlled patient closer to that of the healthy brain. Future work focusing on EEG as a marker of response in newly diagnosed epilepsy, utilising TMS-EEG for revealing mechanisms underlying treatment response would be appropriate.

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Bocca, Francesca [Verfasser], and Paul [Akademischer Betreuer] Taylor. "Combined TMS-EEG : studies of visual attention / Francesca Bocca. Betreuer: Paul Taylor." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2015. http://d-nb.info/1076471935/34.

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König, Franca Sophie [Verfasser]. "TMS-EEG signatures of glutamatergic neurotransmission in human cortex / Franca Sophie König." Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1224232720/34.

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Valiulis, Vladas. "Transkranijinės magnetinės stimuliacijos įtaka galvos smegenų bioelektriniam aktyvumui." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140925_135031-16126.

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Анотація:

Transkranijinė magnetinė stimuliacija (TMS) – tai modernus neinvazinis vaistams rezistentiškų psichiatrinių sutrikimų gydymo būdas. Fiziologiniai TMS tyrimai pasižymi įvairiais, dažnai prieštaringais rezultatais, daugeliu atvejų didžiausias dėmesys skiriamas betarpiškiems poveikiams po vienos TMS procedūros, bet ne po pilno terapinio kurso. Manoma, kad rezultatų įvairovę TMS praktikoje įtakoja skirtingi stimuliacijos parametrai ir netikslumai parenkant stimuliuojamą zoną smegenyse. Nors TMS terapija dažnai traktuojama kaip švelnesnė alternatyva elektros impulsų terapijai (EIT), palyginamųjų fiziologinių šių metodikų tyrimų labai trūksta. Darbo tikslas buvo įvertinti TMS terapijos kurso poveikį bioelektriniam galvos smegenų aktyvumui ir palyginti jį su EIT terapijos poveikiu. Buvo tirta aukšto ir žemo dažnių (10 Hz ir 1 Hz) TMS terapijos įtaka EEG dažnių galios spektrui bei sukeltiniam klausos potencialui P300, naudojant standartinį ir neuronavigacinį taikinio pozicionavimą. TMS sukelti EEG pokyčiai palyginti su EIT terapijos sukeltais EEG pokyčiais, išmatuota TMS terapijos sąlygotų pokyčių dinamika kelių mėnesių bėgyje. Rezultatai parodė, kad TMS terapijos pasekoje smegenyse ryškiausiai padidėja delta dažnio galia. Naudojant standartinį pozicionavimą 10 Hz TMS sukėlė įvairesnius ir intensyvesnius EEG galios spektro pokyčius nei 1 Hz TMS. Pritaikius neuronavigacinę sistemą 10 Hz TMS atveju sumažėjo teta ir alfa dažnių galios pokyčiai. Praėjus keliems mėnesiams nuo TMS... [toliau žr. visą tekstą]
Transcranial magnetic stimulation (TMS) is a modern non invasive method of drug resistant psychiatric disorder treatment. TMS physiology research is hindered by variable, often controversial results. In most studies main attention is being focused on immediate effects after single TMS procedure rather than the influence of a complete therapy course. It is considered that variability of results in TMS practice is caused by different stimulation parameters and imprecision of stimulated area placement in the brain. Although TMS therapy is often viewed as a milder alternative to electroconvulsive therapy (ECT), comparative physiological studies of these two methods are very rare. The aim of this study was to evaluate the effect of rTMS therapy course on bioelectrical brain activity and compare it to an ECT effect. Research included the effect of high and low frequency (10 Hz and 1 Hz) TMS on EEG band power spectrum and auditory evoked potential P300, using both standard and neuronavigated target positioning. TMS evoked EEG changes were also compared to the changes of ECT. Change dynamics after several months of TMS therapy were also measured. Results showed that after TMS therapy the most notable change in the brain occurs in the form of delta power increase. When using standard positioning 10 Hz TMS evokes more diverse and intense EEG band power spectrum changes than the 1 Hz TMS. Application of neuronavigation system decreases theta and alpha band power changes in 10 Hz TMS... [to full text]

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Valiulis, Vladas. "The effect of transcranial magnetic stimulation on brain bioelectrical activity." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140925_135043-14839.

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Transcranial magnetic stimulation (TMS) is a modern non invasive method of drug resistant psychiatric disorder treatment. TMS physiology research is hindered by variable, often controversial results. In most studies main attention is being focused on immediate effects after single TMS procedure rather than the influence of a complete therapy course. It is considered that variability of results in TMS practice is caused by different stimulation parameters and imprecision of stimulated area placement in the brain. Although TMS therapy is often viewed as a milder alternative to electroconvulsive therapy (ECT), comparative physiological studies of these two methods are very rare. The aim of this study was to evaluate the effect of rTMS therapy course on bioelectrical brain activity and compare it to an ECT effect. Research included the effect of high and low frequency (10 Hz and 1 Hz) TMS on EEG band power spectrum and auditory evoked potential P300, using both standard and neuronavigated target positioning. TMS evoked EEG changes were also compared to the changes of ECT. Change dynamics after several months of TMS therapy were also measured. Results showed that after TMS therapy the most notable change in the brain occurs in the form of delta power increase. When using standard positioning 10 Hz TMS evokes more diverse and intense EEG band power spectrum changes than the 1 Hz TMS. Application of neuronavigation system decreases theta and alpha band power changes in 10 Hz TMS... [to full text]
Transkranijinė magnetinė stimuliacija (TMS) – tai modernus neinvazinis vaistams rezistentiškų psichiatrinių sutrikimų gydymo būdas. Fiziologiniai TMS tyrimai pasižymi įvairiais, dažnai prieštaringais rezultatais, daugeliu atvejų didžiausias dėmesys skiriamas betarpiškiems poveikiams po vienos TMS procedūros, bet ne po pilno terapinio kurso. Manoma, kad rezultatų įvairovę TMS praktikoje įtakoja skirtingi stimuliacijos parametrai ir netikslumai parenkant stimuliuojamą zoną smegenyse. Nors TMS terapija dažnai traktuojama kaip švelnesnė alternatyva elektros impulsų terapijai (EIT), palyginamųjų fiziologinių šių metodikų tyrimų labai trūksta. Darbo tikslas buvo įvertinti TMS terapijos kurso poveikį bioelektriniam galvos smegenų aktyvumui ir palyginti jį su EIT terapijos poveikiu. Buvo tirta aukšto ir žemo dažnių (10 Hz ir 1 Hz) TMS terapijos įtaka EEG dažnių galios spektrui bei sukeltiniam klausos potencialui P300, naudojant standartinį ir neuronavigacinį taikinio pozicionavimą. TMS sukelti EEG pokyčiai palyginti su EIT terapijos sukeltais EEG pokyčiais, išmatuota TMS terapijos sąlygotų pokyčių dinamika kelių mėnesių bėgyje. Rezultatai parodė, kad TMS terapijos pasekoje smegenyse ryškiausiai padidėja delta dažnio galia. Naudojant standartinį pozicionavimą 10 Hz TMS sukėlė įvairesnius ir intensyvesnius EEG galios spektro pokyčius nei 1 Hz TMS. Pritaikius neuronavigacinę sistemą 10 Hz TMS atveju sumažėjo teta ir alfa dažnių galios pokyčiai. Praėjus keliems mėnesiams nuo TMS... [toliau žr. visą tekstą]

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Aschenbrenner, Berthold [Verfasser], and Berthold [Akademischer Betreuer] Langguth. "Neuroplastische Effekte bei Schizophrenie: Eine kombinierte TMS/EEG Studie / Berthold Aschenbrenner ; Betreuer: Berthold Langguth." Regensburg : Universitätsbibliothek Regensburg, 2018. http://d-nb.info/116695076X/34.

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Книги з теми "EEG-TMS"

Ilmoniemi, Risto J., and Jari Karhu. TMS and electroencephalography: methods and current advances. Edited by Charles M. Epstein, Eric M. Wassermann, and Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0037.

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Electroencephalography (EEG) combined with transcranial magnetic stimulation (TMS) provides detailed real-time information about the state of the cortex. EEG requires only two to four electrodes and can be a part of most TMS studies. When used with magnetic resonance imaging (MRI) based targeting and conductor modelling, the TMS-EEG combination is a sophisticated brain-mapping tool. This article explains the mechanisms of TMS-evoked EEG. It describes the technique of recording TMS evoked EEG and the possible challenges for the same. Furthermore, it describes possible solutions to these challenges. By varying the TMS intensities, interstimulus intervals, induced current direction, and cortical targets, a rich spectrum of functional information can be obtained. Cortical excitability and connectivity can be studied directly by combining TMS with EEG or other brain-imaging methods, not only in motor, but also nonmotor, areas.

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Massimini, Marcello, and Giulio Tononi. Assessing Consciousness in Other Humans: From Theory to Practice. Translated by Frances Anderson. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728443.003.0007.

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This chapter translates the theoretical principles illustrated in Chapter 5 into an empirical measure that can be applied to real human brains. It explains how transcranial magnetic stimulation (TMS) and simultaneous electroencephalography (EEG) can be employed to derive a surrogate measure of information integration, the perturbational complexity index (PCI). By describing the results of a series of experiments, it demonstrates that PCI can discriminate with very high accuracy between consciousness and unconsciousness, across many different conditions, ranging from wakefulness to sleep, dreaming esthesia and coma patients. The chapter ends by suggesting that principled measures of brain complexity can also help understanding the mechanisms of loss and recovery of consciousness in both physiological and pathological conditions.

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Частини книг з теми "EEG-TMS"

Kallioniemi, Elisa, Mervi Könönen, and Sara Määttä. "TMS-EEG." In Biomedical Engineering Challenges, 175–97. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119296034.ch9.

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Fuertes, Juan José, Carlos M. Travieso, A. Álvarez, M. A. Ferrer, and J. B. Alonso. "Reducing Artifacts in TMS-Evoked EEG." In Lecture Notes in Computer Science, 302–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13769-3_37.

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Gordon, Pedro C., and Ulf Ziemann. "TMS-Evoked EEG Response in Neuropsychiatric Disorders." In Transcranial Direct Current Stimulation in Neuropsychiatric Disorders, 95–106. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76136-3_6.

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Miniussi, Carlo, Marta Bortoletto, Gregor Thut, and Domenica Veniero. "Accessing Cortical Connectivity Using TMS: EEG Co-registration." In Cortical Connectivity, 93–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-45797-9_5.

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Wu, Wei, Corey Keller, and Amit Etkin. "RETRACTED CHAPTER: Artifact Rejection for Concurrent TMS-EEG Data." In Dynamic Neuroscience, 141–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71976-4_6.

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Kitajo, Keiichi, Yumi Nakagawa, Yutaka Uno, Ryohei Miyota, Masanori Shimono, Kentaro Yamanaka, and Yoko Yamaguchi. "A Manipulative Approach to Neural Dynamics by Combined TMS-EEG." In Advances in Cognitive Neurodynamics (III), 155–60. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4792-0_21.

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Kitajo, Keiichi, Ryohei Miyota, Masanori Shimono, Kentaro Yamanaka, and Yoko Yamaguchi. "State-Dependent Cortical Synchronization Networks Revealed by TMS-EEG Recordings." In Advances in Cognitive Neurodynamics (II), 145–48. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9695-1_23.

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Wu, Wei, Corey Keller, and Amit Etkin. "Retraction Note to: Artifact Rejection for Concurrent TMS-EEG Data." In Dynamic Neuroscience, E1. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71976-4_13.

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Ilmoniemi, R. J., and H. J. Aronen. "Cortical Excitability and Connectivity Reflected in fMRI, MEG, EEG, and TMS." In Functional MRI, 453–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58716-0_37.

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Kitajo, Keiichi, and Yuka O. Okazaki. "TMS-EEG for Probing Distinct Modes of Neural Dynamics in the Human Brain." In Advances in Cognitive Neurodynamics (V), 211–16. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0207-6_30.

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Тези доповідей конференцій з теми "EEG-TMS"

Ilmoniemi, Risto J., Julio C. Hernandez-Pavon, Niko N. Makela, Johanna Metsomaa, Tuomas P. Mutanen, Matti Stenroos, and Jukka Sarvas. "Dealing with artifacts in TMS-evoked EEG." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7318342.

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Bai, Yang, Yong Wang, Zikang Niu, and Xiaoli Li. "Synchrosqueezing algorithm application in TMS-EEG analysis." In 2017 Chinese Automation Congress (CAC). IEEE, 2017. http://dx.doi.org/10.1109/cac.2017.8242911.

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Petrichella, Sara, Luca Vollero, Florinda Ferreri, Vincenzo Di Lazzaro, and Giulio Iannello. "TRS-TMS: An EEGLAB plugin for the reconstruction of onsets in EEG-TMS datasets." In 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2013. http://dx.doi.org/10.1109/bibe.2013.6701673.

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Hernandez-Pavon, Julio C., Jukka Sarvas, and Risto J. Ilmoniemi. "TMS–EEG: From basic research to clinical applications." In XIII MEXICAN SYMPOSIUM ON MEDICAL PHYSICS. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4901355.

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Cline, Christopher C., Molly V. Lucas, Yinming Sun, Matthew Menezes, and Amit Etkin. "Advanced Artifact Removal for Automated TMS-EEG Data Processing." In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2021. http://dx.doi.org/10.1109/ner49283.2021.9441147.

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Faller, J., Y. Lin, J. Doose, G. T. Saber, J. R. McIntosh, J. B. Teves, R. I. Goldman, M. S. George, P. Sajda, and T. R. Brown. "An EEG-fMRI-TMS instrument to investigate BOLD response to EEG guided stimulation." In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2019. http://dx.doi.org/10.1109/ner.2019.8716889.

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Li, Ning, Jie Yang, and Mohamad Sawan. "Compact Closed-loop EEG/fNIRS Recording and TMS Neuromodulation System." In 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS). IEEE, 2022. http://dx.doi.org/10.1109/newcas52662.2022.9842210.

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Tautan, Alexandra-Maria, Elias Casula, Ilaria Borghi, Michele Maiella, Sonia Bonni, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, and Emiliano Santarnecchi. "Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9870920.

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Demir, Andac, Mathew Yarossi, Damon Hyde, Mouhsin Shafi, Dana Brooks, and Deniz Erdogmus. "Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit." In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2019. http://dx.doi.org/10.1109/ner.2019.8717084.

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Morbidi, Fabio, Andrea Garulli, Domenico Prattichizzo, Cristiano Rizzo, and Simone Rossi. "A Kalman filter approach to remove TMS-induced artifacts from EEG recordings." In European Control Conference 2007 (ECC). IEEE, 2007. http://dx.doi.org/10.23919/ecc.2007.7068851.

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