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Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients

Background: The integrity of the motor system can be examined by applying navigated transcranial magnetic stimulation (nTMS) to the cortex. The corresponding motor-evoked potentials (MEPs) in the target muscles are mirroring the status of the human motor system, far beyond corticospinal integrity. C...

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Autores principales: Machetanz, Kathrin, Gallotti, Alberto L., Leao Tatagiba, Maria Teresa, Liebsch, Marina, Trakolis, Leonidas, Wang, Sophie, Tatagiba, Marcos, Gharabaghi, Alireza, Naros, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894199/
https://www.ncbi.nlm.nih.gov/pubmed/33613426
http://dx.doi.org/10.3389/fneur.2020.633224
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author Machetanz, Kathrin
Gallotti, Alberto L.
Leao Tatagiba, Maria Teresa
Liebsch, Marina
Trakolis, Leonidas
Wang, Sophie
Tatagiba, Marcos
Gharabaghi, Alireza
Naros, Georgios
author_facet Machetanz, Kathrin
Gallotti, Alberto L.
Leao Tatagiba, Maria Teresa
Liebsch, Marina
Trakolis, Leonidas
Wang, Sophie
Tatagiba, Marcos
Gharabaghi, Alireza
Naros, Georgios
author_sort Machetanz, Kathrin
collection PubMed
description Background: The integrity of the motor system can be examined by applying navigated transcranial magnetic stimulation (nTMS) to the cortex. The corresponding motor-evoked potentials (MEPs) in the target muscles are mirroring the status of the human motor system, far beyond corticospinal integrity. Commonly used time domain features of MEPs (e.g., peak-to-peak amplitudes and onset latencies) exert a high inter-subject and intra-subject variability. Frequency domain analysis might help to resolve or quantify disease-related MEP changes, e.g., in brain tumor patients. The aim of the present study was to describe the time-frequency representation of MEPs in brain tumor patients, its relation to clinical and imaging findings, and the differences to healthy subject. Methods: This prospective study compared 12 healthy subjects with 12 consecutive brain tumor patients (with and without a paresis) applying nTMS mapping. Resulting MEPs were evaluated in the time series domain (i.e., amplitudes and latencies). After transformation into the frequency domain using a Morlet wavelet approach, event-related spectral perturbation (ERSP), and inter-trial coherence (ITC) were calculated and compared to diffusion tensor imaging (DTI) results. Results: There were no significant differences in the time series characteristics between groups. MEPs were projecting to a frequency band between 30 and 300 Hz with a local maximum around 100 Hz for both healthy subjects and patients. However, there was ERSP reduction for higher frequencies (>100 Hz) in patients in contrast to healthy subjects. This deceleration was mirrored in an increase of the inter-peak MEP latencies. Patients with a paresis showed an additional disturbance in ITC in these frequencies. There was no correlation between the CST integrity (as measured by DTI) and the MEP parameters. Conclusion: Time-frequency analysis may provide additional information above and beyond classical MEP time domain features and the status of the corticospinal system in brain tumor patients. This first evaluation indicates that brain tumors might affect cortical physiology and the responsiveness of the cortex to TMS resulting in a temporal dispersion of the corticospinal transmission.
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spelling pubmed-78941992021-02-20 Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients Machetanz, Kathrin Gallotti, Alberto L. Leao Tatagiba, Maria Teresa Liebsch, Marina Trakolis, Leonidas Wang, Sophie Tatagiba, Marcos Gharabaghi, Alireza Naros, Georgios Front Neurol Neurology Background: The integrity of the motor system can be examined by applying navigated transcranial magnetic stimulation (nTMS) to the cortex. The corresponding motor-evoked potentials (MEPs) in the target muscles are mirroring the status of the human motor system, far beyond corticospinal integrity. Commonly used time domain features of MEPs (e.g., peak-to-peak amplitudes and onset latencies) exert a high inter-subject and intra-subject variability. Frequency domain analysis might help to resolve or quantify disease-related MEP changes, e.g., in brain tumor patients. The aim of the present study was to describe the time-frequency representation of MEPs in brain tumor patients, its relation to clinical and imaging findings, and the differences to healthy subject. Methods: This prospective study compared 12 healthy subjects with 12 consecutive brain tumor patients (with and without a paresis) applying nTMS mapping. Resulting MEPs were evaluated in the time series domain (i.e., amplitudes and latencies). After transformation into the frequency domain using a Morlet wavelet approach, event-related spectral perturbation (ERSP), and inter-trial coherence (ITC) were calculated and compared to diffusion tensor imaging (DTI) results. Results: There were no significant differences in the time series characteristics between groups. MEPs were projecting to a frequency band between 30 and 300 Hz with a local maximum around 100 Hz for both healthy subjects and patients. However, there was ERSP reduction for higher frequencies (>100 Hz) in patients in contrast to healthy subjects. This deceleration was mirrored in an increase of the inter-peak MEP latencies. Patients with a paresis showed an additional disturbance in ITC in these frequencies. There was no correlation between the CST integrity (as measured by DTI) and the MEP parameters. Conclusion: Time-frequency analysis may provide additional information above and beyond classical MEP time domain features and the status of the corticospinal system in brain tumor patients. This first evaluation indicates that brain tumors might affect cortical physiology and the responsiveness of the cortex to TMS resulting in a temporal dispersion of the corticospinal transmission. Frontiers Media S.A. 2021-02-05 /pmc/articles/PMC7894199/ /pubmed/33613426 http://dx.doi.org/10.3389/fneur.2020.633224 Text en Copyright © 2021 Machetanz, Gallotti, Leao Tatagiba, Liebsch, Trakolis, Wang, Tatagiba, Gharabaghi and Naros. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Machetanz, Kathrin
Gallotti, Alberto L.
Leao Tatagiba, Maria Teresa
Liebsch, Marina
Trakolis, Leonidas
Wang, Sophie
Tatagiba, Marcos
Gharabaghi, Alireza
Naros, Georgios
Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients
title Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients
title_full Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients
title_fullStr Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients
title_full_unstemmed Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients
title_short Time-Frequency Representation of Motor Evoked Potentials in Brain Tumor Patients
title_sort time-frequency representation of motor evoked potentials in brain tumor patients
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894199/
https://www.ncbi.nlm.nih.gov/pubmed/33613426
http://dx.doi.org/10.3389/fneur.2020.633224
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