ArticleHuman brain mapping2023
Brain-wide network analysis of resting-state neuromagnetic data.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Acute Whole-Body Heat Exposure Modulates EEG Microstate Dynamics, Phase-Lagged Connectivity, and Cortical Source Activity.Brain topography · 2026Article
- Age-Related Changes in Spontaneous Brain Dynamics Revealed by Resting-State Magnetoencephalography.GeroScience · 2026Article
- Resting-state EEG dual biomarker for motor-cognitive function in elderly individuals.Scientific reports · 2025Article
- Discovery of EEG effective connectivity during visual motor imagery with multi-scale symbolic transfer entropy.Scientific reports · 2025Article
- Regional, but not brain-wide, graph theoretic measures are robustly and reproducibly linked to general cognitive ability.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Crochet increases attention through a requiring motor skill learning.Scientific reports · 2025Article
- Brain-wide network analysis of resting-state neuromagnetic data.Human brain mapping · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.