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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...

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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
Descripción
Sumario: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.