ArticleNeuroImage2017
Measurement of dynamic task related functional networks using MEG.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 124 citations in OpenAlex.
- Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles.Human brain mapping · 2025Article
- Event-Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series.Human brain mapping · 2025Article
- Tracking EEG network dynamics through transitions between eyes-closed, eyes-open, and task states.Scientific reports · 2024Article
- Spectral-switching analysis reveals real-time neuronal network representations of concurrent spontaneous naturalistic behaviors in human brain.bioRxiv : the preprint server for biology · 2024Article
- Unraveling Alzheimer's Disease: Investigating Dynamic Functional Connectivity in the Default Mode Network through DCC-GARCH Modeling.bioRxiv : the preprint server for biology · 2024Article
- Resting-state fractal brain connectivity is associated with impaired cognitive performance in healthy aging.GeroScience · 2024Article
- The dissociative role of bursting and non-bursting neural activity in the oscillatory nature of functional brain networks.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Brain-wide network analysis of resting-state neuromagnetic data.Human brain mapping · 2023Article
- Article
- Dynamic rewiring of electrophysiological brain networks during learning.Network neuroscience (Cambridge, Mass.) · 2023Article
- Mixtures of large-scale dynamic functional brain network modes.NeuroImage · 2022Article
- Connectomics of human electrophysiology.NeuroImage · 2022Article
- Mean-Field Modeling of Brain-Scale Dynamics for the Evaluation of EEG Source-Space Networks.Brain topography · 2022Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Article
- Behavioural relevance of spontaneous, transient brain network interactions in fMRI.NeuroImage · 2021Article
- A New Recognition Method for the Auditory Evoked Magnetic Fields.Computational intelligence and neuroscience · 2021Article
- Sustaining Attention for a Prolonged Duration Affects Dynamic Organizations of Frequency-Specific Functional Connectivity.Brain topography · 2020Article
- Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system.NeuroImage · 2020Article
- Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
The characterisation of dynamic electrophysiological brain networks, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method for measuring such networks in the human brain using magnetoencephalography (MEG). Previous network analyses look for brain regions that share a common temporal profile of activity. Here distinctly, we exploit the high spatio-temporal resolution of MEG to measure the temporal evolution of connectivity between pairs of parcellated brain regions. We then use an ICA based procedure to identify networks of connections whose temporal dynamics covary. We validate our method using MEG data recorded during a finger movement task, identifying a transient network of connections linking somatosensory and primary motor regions, which modulates during the task. Next, we use our method to image the networks which support cognition during a Sternberg working memory task. We generate a novel neuroscientific picture of cognitive processing, showing the formation and dissolution of multiple networks which relate to semantic processing, pattern recognition and language as well as vision and movement. Our method tracks the dynamics of functional connectivity in the brain on a timescale commensurate to the task they are undertaking.
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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.