Brain‐wide network analysis of resting‐state neuromagnetic data
The present study performed a brain‐wide network analysis of resting‐state magnetoencephalograms recorded from 53 healthy participants to visualize elaborate brain maps of phase‐ and amplitude‐derived graph‐theory metrics at different frequencies. To achieve this, we conducted a vertex‐wise computat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203810/ https://www.ncbi.nlm.nih.gov/pubmed/36988453 http://dx.doi.org/10.1002/hbm.26295 |
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author | Kida, Tetsuo Tanaka, Emi Kakigi, Ryusuke Inui, Koji |
author_facet | Kida, Tetsuo Tanaka, Emi Kakigi, Ryusuke Inui, Koji |
author_sort | Kida, Tetsuo |
collection | PubMed |
description | The present study performed a brain‐wide network analysis of resting‐state magnetoencephalograms recorded from 53 healthy participants to visualize elaborate brain maps of phase‐ and amplitude‐derived graph‐theory metrics at different frequencies. To achieve this, we conducted a vertex‐wise computation of threshold‐independent graph metrics by combining proportional thresholding and a conjunction analysis and applied them to a correlation analysis of age and brain networks. Source power showed a frequency‐dependent cortical distribution. Threshold‐independent graph metrics derived from phase‐ and amplitude‐based connectivity showed similar or different distributions depending on frequency. Vertex‐wise age‐brain correlation maps revealed that source power at the beta band and the amplitude‐based degree at the alpha band changed with age in local regions. The present results indicate that a brain‐wide analysis of neuromagnetic data has the potential to reveal neurophysiological network features in the human brain in a resting state. |
format | Online Article Text |
id | pubmed-10203810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102038102023-05-24 Brain‐wide network analysis of resting‐state neuromagnetic data Kida, Tetsuo Tanaka, Emi Kakigi, Ryusuke Inui, Koji Hum Brain Mapp Research Articles The present study performed a brain‐wide network analysis of resting‐state magnetoencephalograms recorded from 53 healthy participants to visualize elaborate brain maps of phase‐ and amplitude‐derived graph‐theory metrics at different frequencies. To achieve this, we conducted a vertex‐wise computation of threshold‐independent graph metrics by combining proportional thresholding and a conjunction analysis and applied them to a correlation analysis of age and brain networks. Source power showed a frequency‐dependent cortical distribution. Threshold‐independent graph metrics derived from phase‐ and amplitude‐based connectivity showed similar or different distributions depending on frequency. Vertex‐wise age‐brain correlation maps revealed that source power at the beta band and the amplitude‐based degree at the alpha band changed with age in local regions. The present results indicate that a brain‐wide analysis of neuromagnetic data has the potential to reveal neurophysiological network features in the human brain in a resting state. John Wiley & Sons, Inc. 2023-03-29 /pmc/articles/PMC10203810/ /pubmed/36988453 http://dx.doi.org/10.1002/hbm.26295 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Kida, Tetsuo Tanaka, Emi Kakigi, Ryusuke Inui, Koji Brain‐wide network analysis of resting‐state neuromagnetic data |
title | Brain‐wide network analysis of resting‐state neuromagnetic data |
title_full | Brain‐wide network analysis of resting‐state neuromagnetic data |
title_fullStr | Brain‐wide network analysis of resting‐state neuromagnetic data |
title_full_unstemmed | Brain‐wide network analysis of resting‐state neuromagnetic data |
title_short | Brain‐wide network analysis of resting‐state neuromagnetic data |
title_sort | brain‐wide network analysis of resting‐state neuromagnetic data |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203810/ https://www.ncbi.nlm.nih.gov/pubmed/36988453 http://dx.doi.org/10.1002/hbm.26295 |
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