Proposed by Raphaël Bordas
van Es, M. W., Higgins, C., Gohil, C., Quinn, A. J., Vidaurre, D., & Woolrich, M. W. (2025). Large-scale cortical functional networks are organized in structured cycles. Nature Neuroscience, 1-11.
https://doi.org/10.1038/s41593-025-02052-8
This paper uses magnetoencephalography (MEG) data to model the dynamics of resting-state networks across five datasets. Hidden Markov Modelsmodels were used to identify 12 distinct states (panel a), which are defined by their spatial patterns and their recurrence over time. The authors focused on the temporal dynamics of these states, and, in particular, on transitions between states. They found that some specific states were more likely to follow a given state n (see circular arrows on all three panels, and Fig. 1 and 2). Interestingly, This paper makes an interesting contribution to the analysis of resting-state networks using MEG with regard to the extensive fMRI literature (e.g., DMN) and it shows consistent results across multiple datasets. For example, panel (c) shows the orthogonality between DMN- and DAN-like spatial patterns.
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