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Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects
Robust biomarkers for anti-epileptic drugs (AEDs) activity in the human brain are essential to increase the probability of successful drug development. The frequency analysis of electroencephalographic (EEG) activity, either spontaneous or evoked by transcranial magnetic stimulation (TMS-EEG) can pr...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817040/ https://www.ncbi.nlm.nih.gov/pubmed/35121751 http://dx.doi.org/10.1038/s41598-022-05179-x |
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author | Biondi, Andrea Rocchi, L. Santoro, V. Rossini, P. G. Beatch, G. N. Richardson, M. P. Premoli, I. |
author_facet | Biondi, Andrea Rocchi, L. Santoro, V. Rossini, P. G. Beatch, G. N. Richardson, M. P. Premoli, I. |
author_sort | Biondi, Andrea |
collection | PubMed |
description | Robust biomarkers for anti-epileptic drugs (AEDs) activity in the human brain are essential to increase the probability of successful drug development. The frequency analysis of electroencephalographic (EEG) activity, either spontaneous or evoked by transcranial magnetic stimulation (TMS-EEG) can provide cortical readouts for AEDs. However, a systematic evaluation of the effect of AEDs on spontaneous oscillations and TMS-related spectral perturbation (TRSP) has not yet been provided. We studied the effects of Lamotrigine, Levetiracetam, and of a novel potassium channel opener (XEN1101) in two groups of healthy volunteers. Levetiracetam suppressed TRSP theta, alpha and beta power, whereas Lamotrigine decreased delta and theta but increased the alpha power. Finally, XEN1101 decreased TRSP delta, theta, alpha and beta power. Resting-state EEG showed a decrease of theta band power after Lamotrigine intake. Levetiracetam increased theta, beta and gamma power, while XEN1101 produced an increase of delta, theta, beta and gamma power. Spontaneous and TMS-related cortical oscillations represent a powerful tool to characterize the effect of AEDs on in vivo brain activity. Spectral fingerprints of specific AEDs should be further investigated to provide robust and objective biomarkers of biological effect in human clinical trials. |
format | Online Article Text |
id | pubmed-8817040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88170402022-02-09 Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects Biondi, Andrea Rocchi, L. Santoro, V. Rossini, P. G. Beatch, G. N. Richardson, M. P. Premoli, I. Sci Rep Article Robust biomarkers for anti-epileptic drugs (AEDs) activity in the human brain are essential to increase the probability of successful drug development. The frequency analysis of electroencephalographic (EEG) activity, either spontaneous or evoked by transcranial magnetic stimulation (TMS-EEG) can provide cortical readouts for AEDs. However, a systematic evaluation of the effect of AEDs on spontaneous oscillations and TMS-related spectral perturbation (TRSP) has not yet been provided. We studied the effects of Lamotrigine, Levetiracetam, and of a novel potassium channel opener (XEN1101) in two groups of healthy volunteers. Levetiracetam suppressed TRSP theta, alpha and beta power, whereas Lamotrigine decreased delta and theta but increased the alpha power. Finally, XEN1101 decreased TRSP delta, theta, alpha and beta power. Resting-state EEG showed a decrease of theta band power after Lamotrigine intake. Levetiracetam increased theta, beta and gamma power, while XEN1101 produced an increase of delta, theta, beta and gamma power. Spontaneous and TMS-related cortical oscillations represent a powerful tool to characterize the effect of AEDs on in vivo brain activity. Spectral fingerprints of specific AEDs should be further investigated to provide robust and objective biomarkers of biological effect in human clinical trials. Nature Publishing Group UK 2022-02-04 /pmc/articles/PMC8817040/ /pubmed/35121751 http://dx.doi.org/10.1038/s41598-022-05179-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Biondi, Andrea Rocchi, L. Santoro, V. Rossini, P. G. Beatch, G. N. Richardson, M. P. Premoli, I. Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects |
title | Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects |
title_full | Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects |
title_fullStr | Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects |
title_full_unstemmed | Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects |
title_short | Spontaneous and TMS-related EEG changes as new biomarkers to measure anti-epileptic drug effects |
title_sort | spontaneous and tms-related eeg changes as new biomarkers to measure anti-epileptic drug effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817040/ https://www.ncbi.nlm.nih.gov/pubmed/35121751 http://dx.doi.org/10.1038/s41598-022-05179-x |
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