ArticleNetwork neuroscience (Cambridge, Mass.)2021
Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series.
Article in Network neuroscience (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.
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Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it.
- GINNA, a 33 resting-state networks atlas with meta-analytic decoding-based cognitive characterization.Communications biology · 2025Pooled it
- A cortical gradient in area 55b links language and somato-cognitive action networks.Research square · 2026Article
- Human cortex organizes dynamic co-fluctuations along the sensorimotor-association axis.Nature communications · 2026Article
- Resting fMRI functional connectivity reflects fluctuations in inhibitory interneuron activity.bioRxiv : the preprint server for biology · 2026Article
- Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The dual interpretation of edge time series: Time-varying connectivity versus statistical interaction.iScience · 2026Article
- Global topology of brain-wide co-fluctuations links task states, personality, and behavioral symptom dimensions.bioRxiv : the preprint server for biology · 2026Article
- Regional activity and interregional functional connectivity uniquely contribute to social cognitive judgments during movie-watching.Network neuroscience (Cambridge, Mass.) · 2026Article
- Edge participation coefficient unveiling the developmental dynamics of neonatal functional connectome.Communications biology · 2025Article
- Reconfiguration of Functional Brain Network Organization and Dynamics With Changing Cognitive Demands in Children With Attention-Deficit/Hyperactivity Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Time-varying synergy/redundancy dominance in the human cerebral cortex.Journal of physics. Complexity · 2025Article
- Network state dynamics underpin basal craving in a transdiagnostic population.Molecular psychiatry · 2025Article
- Transcranial 1064-nm laser photobiomodulation modulates frequency-specific cortical source dynamics and functional connectivity in healthy adults.Frontiers in human neuroscience · 2025Article
- Temporal variability of brain-behavior relationships in fine-scale dynamics of edge time series.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Structure-function relationships across scales: implications for atlases.Frontiers in neuroscience · 2025Article
- Time-resolved instantaneous functional loci estimation (TRIFLE): Estimating time-varying allocation of spatially overlapping sources in functional magnetic resonance imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Altered brain network dynamics and functional connectivity in subjective cognitive decline: an edge-centric network study.Frontiers in aging neuroscience · 2025Article
- Symmetry breaking organizes the brain's resting state manifold.Scientific reports · 2024Article
- Energy Associated With Dynamic Network Changes in Patients With Multiple Sclerosis and Cognitive Impairment.Neurology · 2024Article
- Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity.Nature neuroscience · 2024Article
1 more citing papers are in PubMed but not listed here.
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Functional connectivity (FC) describes the statistical dependence between neuronal populations or brain regions in resting-state fMRI studies and is commonly estimated as the Pearson correlation of time courses. Clustering or community detection reveals densely coupled sets of regions constituting resting-state networks or functional systems. These systems manifest most clearly when FC is sampled over longer epochs but appear to fluctuate on shorter timescales. Here, we propose a new approach to reveal temporal fluctuations in neuronal time series. Unwrapping FC signal correlations yields pairwise co-fluctuation time series, one for each node pair or edge, and allows tracking of fine-scale dynamics across the network. Co-fluctuations partition the network, at each time step, into exactly two communities. Sampled over time, the overlay of these bipartitions, a binary decomposition of the original time series, very closely approximates functional connectivity. Bipartitions exhibit characteristic spatiotemporal patterns that are reproducible across participants and imaging runs, capture individual differences, and disclose fine-scale temporal expression of functional systems. Our findings document that functional systems appear transiently and intermittently, and that FC results from the overlay of many variable instances of system expression. Potential applications of this decomposition of functional connectivity into a set of binary patterns are discussed.
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