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12 results for “TMS-EEG”
Applicazioni cliniche della connettività corticale effettiva TMS-EEG
<p>Video della presentazione "Applicazioni cliniche della connettività corticale effettiva TMS-EEG" tenuta dal Prof Mario Rosanova durante il corso ECM "<strong>STIMOLAZIONE MAGNETICA TRANSCRANICA - TMS E TECNICHE AVANZATE DI NEUROSTIMOLAZIONE</strong>" nella giornata 26 maggio 2022.</p>
Connettività corticale effettiva nei circuiti cerebrali tramite TMS-EEG
<p>Video della presentazione "Connettività corticale effettiva nei circuiti cerebrali tramite TMS-EEG" tenuta dalla Dott.ssa Marta Bortoletto durante il corso ECM "<strong>STIMOLAZIONE MAGNETICA TRANSCRANICA - TMS E TECNICHE AVANZATE DI NEUROSTIMOLAZIONE</strong>" nella giornata 26 maggio 2022.</p>
TMS-EEG as a Tool to Study the Neuromodulatory Effects of Theta Burst Stimulation
ClinicalTrials.gov study NCT05206162. IPD Sharing: Not stated. Countries: 1. Publications: 1.
TMS-EEG Biomarkers for Chronic Pain
ClinicalTrials.gov study NCT07116278. IPD Sharing: YES. Countries: 1. Publications: 4.
Data from: Fractionation of parietal function in bistable perception probed with concurrent TMS-EEG
When visual input has conflicting interpretations, conscious perception can alternate spontaneously between these possible interpretations. This is called bistable perception. Previous neuroimaging studies have indicated the involvement of two right parietal areas in resolving perceptual ambiguity (ant-SPLr and post-SPLr). Transcranial magnetic stimulation (TMS) studies that selectively interfered with the normal function of these regions suggest that they play opposing roles in this type of perceptual switch. In the present study, we investigated this fractionation of parietal function by use of combined TMS with electroencephalography (EEG). Specifically, while participants viewed either a bistable stimulus, a replay stimulus, or resting-state fixation, we applied single pulse TMS to either location independently while simultaneously recording EEG. Combined with participant's individual structural magnetic resonance imaging (MRI) scans, this dataset allows for complex analyses of the effect of TMS on neural time series data, which may further elucidate the causal role of the parietal cortex in ambiguous perception.
The Modulatory Effect of Low-intensity Priming Intermittent Theta Burst Stimulation on Motor Cortex Poststroke: a Concurrent TMS-EEG Study
ClinicalTrials.gov study NCT06241508. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Roflumilast TMS-EEG Plasticity
ClinicalTrials.gov study NCT04369547. IPD Sharing: NO. Countries: 1. Publications: 0.
Targeting Brain Physiology to Treat Neuropsychiatric Symptoms of Dementia Using TMS-EEG and tDCS
ClinicalTrials.gov study NCT03846492. IPD Sharing: Not stated. Countries: 1. Publications: 0.
MRI Guided Closed-loop TMS-EEG
ClinicalTrials.gov study NCT06050603. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Fractionation of parietal function in bistable perception probed with concurrent TMS-EEG
Open the record for dataset details and reuse information.
Dataset for the project "Corticocortical signal transmission and brain connectivity alterations at prodromal stage and during the progression of Alzheimer's disease: A multimodal approach of TMS-EEG and advanced MRI" (GR-2016-02364132)
<p><strong>Aim 1:</strong></p> <p><u>Validation of STT as measure of WM integrity and as diagnostic marker of AD</u>. The first step to test the potential of the STT as AD marker is to establish if the SST can differentiate between patients (LOAD, aMCI) and healthy individuals and its relationship with clinical symptoms and with well-established measures of connectivity.</p> <p> <strong>Aim 2:</strong></p> <p><u>Connectivity changes, evaluated as in aim 1, as prognostic marker of disease progression</u>. Another crucial point is to establish if STT can capture brain connectivity alterations with disease progression, if they parallel WM integrity alterations and cognitive decline. Moreover, the potential contribution of STT as prognostic marker can be established by investigating which measure, or combination of measures, of brain connectivity at the baseline best predicts the conversion to AD in aMCI cases.</p> <p> <strong>Aim3:</strong></p> <p><u>Connectivity changes in EOAD patients.</u> The comparison of connectivity alterations between EOAD and LOAD at the baseline and during the disease progression will be a crucial step to establish the efficacy of STT as a marker of differential diagnosis in atypical forms of AD.</p> <p> </p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p> </p> <p>File: <strong>Demographics_allparticipants.xlsx</strong> contains demographic and clinical data of the entire sample</p> <p>File: <strong>Hippocampal volume.xlsx</strong> data used to extract hippocampal atrophy as AD biomarker</p> <p> </p> <p>Folder: <strong>Aim1</strong></p> <p>- <strong>READ ME</strong> AIM1.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data of HC, MCI and LOAD at T0 are organized in 3 files with TMS-Evoked Potentials (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T0 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T0</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0</p> <p> </p> <p>- Folder: <strong>Aim2</strong></p> <p>- <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in one file that includes TMS-Evoked Potentials of HC, MCI and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0 and T1</p> <p> </p> <p>Folder: <strong>Aim3</strong></p> <p> <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in two files that includes TMS-Evoked Potentials of EOAD and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of EOAD and LOAD at T0 and T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of EOAD and LOAD at T0 and T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of EOAD and LOAD at T0 and T1</p> <p> </p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>
TMS-EEG for Cortical Excitability
ClinicalTrials.gov study NCT05472363. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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