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Spatiotemporal dynamics of maximal and minimal EEG spectral power
Oscillatory neural activities are prevalent in the brain with their phase realignment contributing to the coordination of neural communication. Phase realignments may have especially strong (or weak) impact when neural activities are strongly synchronized (or desynchronized) within the interacting p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291701/ https://www.ncbi.nlm.nih.gov/pubmed/34283869 http://dx.doi.org/10.1371/journal.pone.0253813 |
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author | Menceloglu, Melisa Grabowecky, Marcia Suzuki, Satoru |
author_facet | Menceloglu, Melisa Grabowecky, Marcia Suzuki, Satoru |
author_sort | Menceloglu, Melisa |
collection | PubMed |
description | Oscillatory neural activities are prevalent in the brain with their phase realignment contributing to the coordination of neural communication. Phase realignments may have especially strong (or weak) impact when neural activities are strongly synchronized (or desynchronized) within the interacting populations. We report that the spatiotemporal dynamics of strong regional synchronization measured as maximal EEG spectral power—referred to as activation—and strong regional desynchronization measured as minimal EEG spectral power—referred to as suppression—are characterized by the spatial segregation of small-scale and large-scale networks. Specifically, small-scale spectral-power activations and suppressions involving only 2–7% (1–4 of 60) of EEG scalp sites were prolonged (relative to stochastic dynamics) and consistently co-localized in a frequency specific manner. For example, the small-scale networks for θ, α, β(1), and β(2) bands (4–30 Hz) consistently included frontal sites when the eyes were closed, whereas the small-scale network for γ band (31–55 Hz) consistently clustered in medial-central-posterior sites whether the eyes were open or closed. Large-scale activations and suppressions involving over 17–30% (10–18 of 60) of EEG sites were also prolonged and generally clustered in regions complementary to where small-scale activations and suppressions clustered. In contrast, intermediate-scale activations and suppressions (involving 7–17% of EEG sites) tended to follow stochastic dynamics and were less consistently localized. These results suggest that strong synchronizations and desynchronizations tend to occur in small-scale and large-scale networks that are spatially segregated and frequency specific. These synchronization networks may broadly segregate the relatively independent and highly cooperative oscillatory processes while phase realignments fine-tune the network configurations based on behavioral demands. |
format | Online Article Text |
id | pubmed-8291701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82917012021-07-31 Spatiotemporal dynamics of maximal and minimal EEG spectral power Menceloglu, Melisa Grabowecky, Marcia Suzuki, Satoru PLoS One Research Article Oscillatory neural activities are prevalent in the brain with their phase realignment contributing to the coordination of neural communication. Phase realignments may have especially strong (or weak) impact when neural activities are strongly synchronized (or desynchronized) within the interacting populations. We report that the spatiotemporal dynamics of strong regional synchronization measured as maximal EEG spectral power—referred to as activation—and strong regional desynchronization measured as minimal EEG spectral power—referred to as suppression—are characterized by the spatial segregation of small-scale and large-scale networks. Specifically, small-scale spectral-power activations and suppressions involving only 2–7% (1–4 of 60) of EEG scalp sites were prolonged (relative to stochastic dynamics) and consistently co-localized in a frequency specific manner. For example, the small-scale networks for θ, α, β(1), and β(2) bands (4–30 Hz) consistently included frontal sites when the eyes were closed, whereas the small-scale network for γ band (31–55 Hz) consistently clustered in medial-central-posterior sites whether the eyes were open or closed. Large-scale activations and suppressions involving over 17–30% (10–18 of 60) of EEG sites were also prolonged and generally clustered in regions complementary to where small-scale activations and suppressions clustered. In contrast, intermediate-scale activations and suppressions (involving 7–17% of EEG sites) tended to follow stochastic dynamics and were less consistently localized. These results suggest that strong synchronizations and desynchronizations tend to occur in small-scale and large-scale networks that are spatially segregated and frequency specific. These synchronization networks may broadly segregate the relatively independent and highly cooperative oscillatory processes while phase realignments fine-tune the network configurations based on behavioral demands. Public Library of Science 2021-07-20 /pmc/articles/PMC8291701/ /pubmed/34283869 http://dx.doi.org/10.1371/journal.pone.0253813 Text en © 2021 Menceloglu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Menceloglu, Melisa Grabowecky, Marcia Suzuki, Satoru Spatiotemporal dynamics of maximal and minimal EEG spectral power |
title | Spatiotemporal dynamics of maximal and minimal EEG spectral power |
title_full | Spatiotemporal dynamics of maximal and minimal EEG spectral power |
title_fullStr | Spatiotemporal dynamics of maximal and minimal EEG spectral power |
title_full_unstemmed | Spatiotemporal dynamics of maximal and minimal EEG spectral power |
title_short | Spatiotemporal dynamics of maximal and minimal EEG spectral power |
title_sort | spatiotemporal dynamics of maximal and minimal eeg spectral power |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291701/ https://www.ncbi.nlm.nih.gov/pubmed/34283869 http://dx.doi.org/10.1371/journal.pone.0253813 |
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