Dataset Information

Identifying transcranial magnetic stimulation induced EEG signatures of different neuronal elements in primary motor cortex.

ABSTRACT:

Objective

To investigate the neuronal elements involved in the activation of corticospinal neurons in the primary motor cortex (M1).

Methods

We studied 10 healthy subjects. Cortical evoked potentials with different components induced by monophasic transcranial magnetic stimulation (TMS) in anterior-posterior and posterior-anterior currents recorded with electroencephalography (EEG) were analyzed.

Results

EEG signatures with P25 and N45 components recorded at the C3 electrode with posterior-anterior current were larger than those with anterior-posterior current, while the signatures with P180 and N280 components recorded at the FC1 electrode with anterior-posterior current were larger than those with posterior-anterior current. The source localization analysis revealed that the cortical evoked potential with anterior-posterior current distributed both in the M1 and premotor cortex while that with posterior-anterior current only located in the M1.

Conclusions

We conclude that the activation of corticospinal pyramidal neurons in the M1 is affected by various neuronal elements including the local intracortical circuits in the M1 and inputs from premotor cortex with different sensitivities to TMS in opposite current directions.

Significance

Our finding helped answer a longstanding question about how the corticospinal pathway from the M1 is functionally organized and activated.

SUBMITTER: Ni Z

PROVIDER: S-EPMC9398981 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Identifying transcranial magnetic stimulation induced EEG signatures of different neuronal elements in primary motor cortex.

Ni Zhen Z Pajevic Sinisa S Chen Li L Leodori Giorgio G Vial Felipe F Avram Alexandru V AV Zhang Yong Y McGurrin Patrick P Cohen Leonardo G LG Basser Peter J PJ Hallett Mark M

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 20220704

<h4>Objective</h4>To investigate the neuronal elements involved in the activation of corticospinal neurons in the primary motor cortex (M1).<h4>Methods</h4>We studied 10 healthy subjects. Cortical evoked potentials with different components induced by monophasic transcranial magnetic stimulation (TMS) in anterior-posterior and posterior-anterior currents recorded with electroencephalography (EEG) were analyzed.<h4>Results</h4>EEG signatures with P25 and N45 components recorded at the C3 electrod ...[more]

PMID: 35841868

Similar Datasets

Project description:BackgroundThere are currently five different kinds of transcranial magnetic stimulation (TMS) motor mapping algorithms available, from ordinary point-based algorithms to advanced field-based algorithms. However, there have been only a limited number of comparison studies conducted, and they have not yet examined all of the currently available algorithms. This deficiency impedes the judicious selection of algorithms for application in both clinical and basic neuroscience, and hinders the potential promotion of a potential superior algorithm. Considering the influence of algorithm complexity, further investigation is needed to examine the differences between fMRI peaks and TMS cortical hotspots that were identified previously.MethodsTwelve healthy participants underwent TMS motor mapping and a finger-tapping task during fMRI. The motor cortex TMS mapping results were estimated by five algorithms, and fMRI activation results were obtained. For each algorithm, the prediction error was defined as the distance between the measured scalp hotspot and optimized coil position, which was determined by the maximum electric field strength in the estimated motor cortex. Additionally, the study identified the minimum number of stimuli required for stable mapping. Finally, the location difference between the TMS mapping cortical hotspot and the fMRI activation peak was analyzed.ResultsThe projection yielded the lowest prediction error (5.27 ± 4.24 mm) among the point-based algorithms and the association algorithm yielded the lowest (6.66 ± 3.48 mm) among field-based estimation algorithms. The projection algorithm required fewer stimuli, possibly resulting from its suitability for the grid-based mapping data collection method. The TMS cortical hotspots from all algorithms consistently deviated from the fMRI activation peak (20.52 ± 8.46 mm for five algorithms).ConclusionThe association algorithm might be a superior choice for clinical applications and basic neuroscience research, due to its lower prediction error and higher estimation sensitivity in the deep cortical structure, especially for the sulcus. It also has potential applicability in various other TMS domains, including language area mapping and more. Otherwise, our results provide further evidence that TMS motor mapping intrinsically differs from fMRI motor mapping.

Dataset Information

Identifying transcranial magnetic stimulation induced EEG signatures of different neuronal elements in primary motor cortex.

Objective

Methods

Results

Conclusions

Significance

Publications

Identifying transcranial magnetic stimulation induced EEG signatures of different neuronal elements in primary motor cortex.

Similar Datasets

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