ArticleImaging neuroscience (Cambridge, Mass.)2023
Test-retest reliability of the human connectome: An OPM-MEG study.
Article in Imaging neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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Who cites it
18 citing papers in PubMed.
- Article
- Assessing the stability of evoked, induced, and passive MEG responses for repeat testing with optically pumped magnetometers.Scientific reports · 2025Article
- Towards a 384-channel magnetoencephalography system based on optically pumped magnetometers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Source reconstruction without an MRI using optically pumped magnetometer-based magnetoencephalography.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Demonstrating equivalence across magnetoencephalography scanner platforms using neural fingerprinting.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Decoding the Temporal Structures and Interactions of Multiple Face Dimensions Using Optically Pumped Magnetometer Magnetoencephalography (OPM-MEG).The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- A novel, robust, and portable platform for magnetoencephalography using optically-pumped magnetometers.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Applications of OPM-MEG for translational neuroscience: a perspective.Translational psychiatry · 2024Review
- Article
- Noise Reduction and Localization Accuracy in a Mobile Magnetoencephalography System.Sensors (Basel, Switzerland) · 2024Article
- The neurodevelopmental trajectory of beta band oscillations: an OPM-MEG study.bioRxiv : the preprint server for biology · 2024Article
- A Novel, Robust, and Portable Platform for Magnetoencephalography using Optically Pumped Magnetometers.bioRxiv : the preprint server for biology · 2024Article
- Optimising the sensitivity of optically-pumped magnetometer magnetoencephalography to gamma band electrophysiological activity.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Test-retest reliability of the human connectome: An OPM-MEG study.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Quantum enabled functional neuroimaging: the why and how of magnetoencephalography using optically pumped magnetometers.Contemporary physics · 2022Article
- Channel gain calibrated signal space projection using variational Bayesian estimation for optically pumped magnetometers.Imaging neuroscience (Cambridge, Mass.)Article
- Comparison of neural signal sources for discriminating "crave" and "don't crave" task conditions: Implications for fMRI neurofeedback.Imaging neuroscience (Cambridge, Mass.)Article
- Reliability and signal comparison of OPM-MEG, fMRI & iEEG in a repeated movie viewing paradigm.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Magnetoencephalography with optically pumped magnetometers (OPM-MEG) offers a new way to record electrophysiological brain function, with significant advantages over conventional MEG, including adaptability to head shape/size, free movement during scanning, increased signal amplitude, and no reliance on cryogenics. However, OPM-MEG remains in its infancy, with significant questions to be answered regarding the optimal system design. Here, we present an open-source dataset acquired using a newly constructed OPM-MEG system with a triaxial sensor design, 168 channels, OPM-optimised magnetic shielding, and active background field control. We measure the test-retest reliability of the human connectome, which was computed using amplitude envelope correlation to measure whole-brain (parcellated) functional connectivity, in 10 individuals while they watch a 600 s move clip. Our results show high repeatability between experimental runs at the group level, with a correlation coefficient of 0.81 in the θ, 0.93 in
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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.