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Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome

Spontaneous EEG contains important information about neuronal network properties that is valuable for understanding different neurological and psychiatric conditions. Rett syndrome (RTT) is a rare neurodevelopmental disorder, caused by mutation in the MECP2 gene. RTT is characterized by severe motor...

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Autores principales: Sysoeva, Olga, Maximenko, Vladimir, Kuc, Alexander, Voinova, Victoria, Martynova, Olga, Hramov, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412611/
https://www.ncbi.nlm.nih.gov/pubmed/37558701
http://dx.doi.org/10.1038/s41598-023-39398-7
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author Sysoeva, Olga
Maximenko, Vladimir
Kuc, Alexander
Voinova, Victoria
Martynova, Olga
Hramov, Alexander
author_facet Sysoeva, Olga
Maximenko, Vladimir
Kuc, Alexander
Voinova, Victoria
Martynova, Olga
Hramov, Alexander
author_sort Sysoeva, Olga
collection PubMed
description Spontaneous EEG contains important information about neuronal network properties that is valuable for understanding different neurological and psychiatric conditions. Rett syndrome (RTT) is a rare neurodevelopmental disorder, caused by mutation in the MECP2 gene. RTT is characterized by severe motor impairments that prevent adequate assessment of cognitive functions. Here we probe EEG parameters obtained in no visual input condition from a 28-channels system in 23 patients with Rett Syndrome and 38 their typically developing peers aged 3–17 years old. Confirming previous results, RTT showed a fronto-central theta power (4–6.25 Hz) increase that correlates with a progression of the disease. Alpha power (6.75–11.75 Hz) across multiple regions was, on the contrary, decreased in RTT, also corresponding to general background slowing reported previously. Among novel results we found an increase in gamma power (31–39.5 Hz) across frontal, central and temporal electrodes, suggesting elevated excitation/inhibition ratio. Long-range temporal correlation measured by detrended fluctuation analysis within 6–13 Hz was also increased, pointing to a more predictable oscillation pattern in RTT. Overall measured EEG parameters allow to differentiate groups with high accuracy, ROC AUC value of 0.92 ± 0.08, indicating clinical relevance.
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spelling pubmed-104126112023-08-11 Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome Sysoeva, Olga Maximenko, Vladimir Kuc, Alexander Voinova, Victoria Martynova, Olga Hramov, Alexander Sci Rep Article Spontaneous EEG contains important information about neuronal network properties that is valuable for understanding different neurological and psychiatric conditions. Rett syndrome (RTT) is a rare neurodevelopmental disorder, caused by mutation in the MECP2 gene. RTT is characterized by severe motor impairments that prevent adequate assessment of cognitive functions. Here we probe EEG parameters obtained in no visual input condition from a 28-channels system in 23 patients with Rett Syndrome and 38 their typically developing peers aged 3–17 years old. Confirming previous results, RTT showed a fronto-central theta power (4–6.25 Hz) increase that correlates with a progression of the disease. Alpha power (6.75–11.75 Hz) across multiple regions was, on the contrary, decreased in RTT, also corresponding to general background slowing reported previously. Among novel results we found an increase in gamma power (31–39.5 Hz) across frontal, central and temporal electrodes, suggesting elevated excitation/inhibition ratio. Long-range temporal correlation measured by detrended fluctuation analysis within 6–13 Hz was also increased, pointing to a more predictable oscillation pattern in RTT. Overall measured EEG parameters allow to differentiate groups with high accuracy, ROC AUC value of 0.92 ± 0.08, indicating clinical relevance. Nature Publishing Group UK 2023-08-09 /pmc/articles/PMC10412611/ /pubmed/37558701 http://dx.doi.org/10.1038/s41598-023-39398-7 Text en © The Author(s) 2023 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
Sysoeva, Olga
Maximenko, Vladimir
Kuc, Alexander
Voinova, Victoria
Martynova, Olga
Hramov, Alexander
Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome
title Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome
title_full Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome
title_fullStr Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome
title_full_unstemmed Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome
title_short Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome
title_sort abnormal spectral and scale-free properties of resting-state eeg in girls with rett syndrome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412611/
https://www.ncbi.nlm.nih.gov/pubmed/37558701
http://dx.doi.org/10.1038/s41598-023-39398-7
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