ArticleImaging neuroscience (Cambridge, Mass.)2023
Synchronous high-amplitude co-fluctuations of functional brain networks during movie-watching.
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 23 papers.
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Who cites it
23 citing papers in PubMed.
- The dynamic functional connectivity peak index: Detection of interictal epileptic activity with fMRI.Epilepsia · 2026Article
- Human cortex organizes dynamic co-fluctuations along the sensorimotor-association axis.Nature communications · 2026Article
- Article
- The dual interpretation of edge time series: Time-varying connectivity versus statistical interaction.iScience · 2026Article
- A view-engage-predict framework for enhancing brain-behavior mapping with naturalistic movie-watching fMRI.Communications biology · 2026Article
- Global topology of brain-wide co-fluctuations links task states, personality, and behavioral symptom dimensions.bioRxiv : the preprint server for biology · 2026Article
- Movie Features Are Hierarchically Encoded in the Dynamics of Functional Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Variation in high-amplitude events across the human lifespan.Network neuroscience (Cambridge, Mass.) · 2026Article
- Intrinsic ion dynamics underlies the temporal nature of resting-state functional connectivity.bioRxiv : the preprint server for biology · 2025Article
- Functional reconfiguration between rest and movie watching relates to theory-of-mind performance among young and older adults.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Leveraging multivariate information for community detection in functional brain networks.Communications biology · 2025Article
- Time-varying synergy/redundancy dominance in the human cerebral cortex.Journal of physics. Complexity · 2025Article
- Identification of brain-like complex information architectures in embryonic tissue ofCommunicative & integrative biology · 2025Article
- Reliability of variability and complexity measures for task and task-free BOLD fMRI.Human brain mapping · 2024Article
- Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Modular subgraphs in large-scale connectomes underpin spontaneous co-fluctuation events in mouse and human brains.Communications biology · 2024Article
- Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection.Medical image analysis · 2024Article
- Living on the edge: network neuroscience beyond nodes.Trends in cognitive sciences · 2023Review
- Partial entropy decomposition reveals higher-order information structures in human brain activity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Edge-based general linear models capture high-frequency fluctuations in attention.bioRxiv : the preprint server for biology · 2023Article
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6 authors.
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Abstract
Recent studies have shown that functional connectivity can be decomposed into its exact frame-wise contributions, revealing short-lived, infrequent, and high-amplitude time points referred to as "events." Events contribute disproportionately to the time-averaged connectivity pattern, improve identifiability and brain-behavior associations, and differences in their expression have been linked to endogenous hormonal fluctuations and autism. Here, we explore the characteristics of events while subjects watch movies. Using two independently-acquired imaging datasets in which participants passively watched movies, we find that events synchronize across individuals and based on the level of synchronization, can be categorized into three distinct classes: those that synchronize at the boundaries between movies, those that synchronize during movies, and those that do not synchronize at all. We find that boundary events, compared to the other categories, exhibit greater amplitude, distinct co-fluctuation patterns, and temporal propagation. We show that underlying boundary events
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