ArticleNetwork neuroscience (Cambridge, Mass.)2022
Functional coordinates: Modeling interactions between brain regions as points in a function space.
Article in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Prioritized nonlinear modeling of shared dynamics across neural populations.Journal of neural engineering · 2026Article
- Connectivity analyses for task-based fMRI.Physics of life reviews · 2024Review
- Improving the study of brain-behavior relationships by revisiting basic assumptions.Trends in cognitive sciences · 2023Review
- Multivariate connectivity: A brief introduction and an open question.Frontiers in neuroscience · 2022Article
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2 authors.
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Abstract
Here, we propose a novel technique to investigate nonlinear interactions between brain regions that captures both the strength and type of the functional relationship. Inspired by the field of functional analysis, we propose that the relationship between activity in separate brain areas can be viewed as a point in function space, identified by coordinates along an infinite set of basis functions. Using Hermite polynomials as bases, we estimate a subset of these values that serve as "functional coordinates," characterizing the interaction between BOLD activity across brain areas. We provide a proof of the convergence of the estimates in the limit, and we validate the method with simulations in which the ground truth is known, additionally showing that functional coordinates detect statistical dependence even when correlations ("functional connectivity") approach zero. We then use functional coordinates to examine neural interactions with a chosen seed region: the fusiform face area (FFA). Using
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