ArticleiScience2026
The dual interpretation of edge time series: Time-varying connectivity versus statistical interaction.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Regional activity and interregional functional connectivity uniquely contribute to social cognitive judgments during movie-watching.Network neuroscience (Cambridge, Mass.) · 2026Article
- Intrinsic ion dynamics underlies the temporal nature of resting-state functional connectivity.bioRxiv : the preprint server for biology · 2025Article
- Mapping high-amplitude fMRI edge time series events across space and time.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
3 authors.
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Abstract
Brain activity and connectivity have been linked to ongoing behavior and mentation but usually in isolation and almost never in the same model. Here, we show that "edge time series"-a recently proposed method for tracking moment-to-moment connectivity changes-are equivalent to an interaction term in a linear model. By including terms for activations in the same model, it provides an elegant framework for assessing the relative explanatory power of edges and activations. In our work, we use this modeling framework to study time-varying behavior in zebrafish, worms, and humans. We find that connectivity contains unique explanatory power above and beyond activity.
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