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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kida, Tetsuo, Tanaka, Emi, Kakigi, Ryusuke, Inui, Koji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
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
_version_ 1785045711802335232
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
work_keys_str_mv AT kidatetsuo brainwidenetworkanalysisofrestingstateneuromagneticdata
AT tanakaemi brainwidenetworkanalysisofrestingstateneuromagneticdata
AT kakigiryusuke brainwidenetworkanalysisofrestingstateneuromagneticdata
AT inuikoji brainwidenetworkanalysisofrestingstateneuromagneticdata