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Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation
(1) Background: Transcranial magnetic stimulation combined with electroencephalography (TMS–EEG) provides a unique opportunity to investigate brain connectivity. However, possible hemispheric asymmetries in signal propagation dynamics following occipital TMS have not been investigated. (2) Methods:...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650175/ https://www.ncbi.nlm.nih.gov/pubmed/37960532 http://dx.doi.org/10.3390/s23218833 |
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author | Siviero, Ilaria Bonfanti, Davide Menegaz, Gloria Savazzi, Silvia Mazzi, Chiara Storti, Silvia Francesca |
author_facet | Siviero, Ilaria Bonfanti, Davide Menegaz, Gloria Savazzi, Silvia Mazzi, Chiara Storti, Silvia Francesca |
author_sort | Siviero, Ilaria |
collection | PubMed |
description | (1) Background: Transcranial magnetic stimulation combined with electroencephalography (TMS–EEG) provides a unique opportunity to investigate brain connectivity. However, possible hemispheric asymmetries in signal propagation dynamics following occipital TMS have not been investigated. (2) Methods: Eighteen healthy participants underwent occipital single-pulse TMS at two different EEG sites, corresponding to early visual areas. We used a state-of-the-art Bayesian estimation approach to accurately estimate TMS-evoked potentials (TEPs) from EEG data, which has not been previously used in this context. To capture the rapid dynamics of information flow patterns, we implemented a self-tuning optimized Kalman (STOK) filter in conjunction with the information partial directed coherence (iPDC) measure, enabling us to derive time-varying connectivity matrices. Subsequently, graph analysis was conducted to assess key network properties, providing insight into the overall network organization of the brain network. (3) Results: Our findings revealed distinct lateralized effects on effective brain connectivity and graph networks after TMS stimulation, with left stimulation facilitating enhanced communication between contralateral frontal regions and right stimulation promoting increased intra-hemispheric ipsilateral connectivity, as evidenced by statistical test (p < 0.001). (4) Conclusions: The identified hemispheric differences in terms of connectivity provide novel insights into brain networks involved in visual information processing, revealing the hemispheric specificity of neural responses to occipital stimulation. |
format | Online Article Text |
id | pubmed-10650175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106501752023-10-30 Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation Siviero, Ilaria Bonfanti, Davide Menegaz, Gloria Savazzi, Silvia Mazzi, Chiara Storti, Silvia Francesca Sensors (Basel) Article (1) Background: Transcranial magnetic stimulation combined with electroencephalography (TMS–EEG) provides a unique opportunity to investigate brain connectivity. However, possible hemispheric asymmetries in signal propagation dynamics following occipital TMS have not been investigated. (2) Methods: Eighteen healthy participants underwent occipital single-pulse TMS at two different EEG sites, corresponding to early visual areas. We used a state-of-the-art Bayesian estimation approach to accurately estimate TMS-evoked potentials (TEPs) from EEG data, which has not been previously used in this context. To capture the rapid dynamics of information flow patterns, we implemented a self-tuning optimized Kalman (STOK) filter in conjunction with the information partial directed coherence (iPDC) measure, enabling us to derive time-varying connectivity matrices. Subsequently, graph analysis was conducted to assess key network properties, providing insight into the overall network organization of the brain network. (3) Results: Our findings revealed distinct lateralized effects on effective brain connectivity and graph networks after TMS stimulation, with left stimulation facilitating enhanced communication between contralateral frontal regions and right stimulation promoting increased intra-hemispheric ipsilateral connectivity, as evidenced by statistical test (p < 0.001). (4) Conclusions: The identified hemispheric differences in terms of connectivity provide novel insights into brain networks involved in visual information processing, revealing the hemispheric specificity of neural responses to occipital stimulation. MDPI 2023-10-30 /pmc/articles/PMC10650175/ /pubmed/37960532 http://dx.doi.org/10.3390/s23218833 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Siviero, Ilaria Bonfanti, Davide Menegaz, Gloria Savazzi, Silvia Mazzi, Chiara Storti, Silvia Francesca Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation |
title | Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation |
title_full | Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation |
title_fullStr | Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation |
title_full_unstemmed | Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation |
title_short | Graph Analysis of TMS–EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation |
title_sort | graph analysis of tms–eeg connectivity reveals hemispheric differences following occipital stimulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650175/ https://www.ncbi.nlm.nih.gov/pubmed/37960532 http://dx.doi.org/10.3390/s23218833 |
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