ArticleNeuroImage2022
Inside information: Systematic within-node functional connectivity changes observed across tasks or groups.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Anatomic & functional brain atlases: connecting functional flexibility with fixed infrastructure.Brain structure & function · 2026Review
- Rethinking the centrality of brain areas in understanding functional organization.Nature neuroscience · 2026Review
- A Transdiagnostic fMRI Dataset With 300+ Deeply Phenotyped Subjects Across Resting and Task States.medRxiv : the preprint server for health sciences · 2025Article
- Multimodal identification of the mouse brain using simultaneous CaCommunications biology · 2025Article
- Multimodal gradients unify local and global cortical organization.Nature communications · 2025Article
- Geometric influences on the regional organization of the mammalian brain.bioRxiv : the preprint server for biology · 2025Article
- Supervised brain node and network construction under voxel-level functional imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Structure-function relationships across scales: implications for atlases.Frontiers in neuroscience · 2025Article
- Brain-wide network analysis of resting-state neuromagnetic data.Human brain mapping · 2023Article
- Brain fingerprints along the language hierarchy.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Mapping the human connectome and understanding its relationship to brain function holds tremendous clinical potential. The connectome has two fundamental components: the nodes and the sconnections between them. While much attention has been given to deriving atlases and measuring the connections between nodes, there have been no studies examining the networks within nodes. Here we demonstrate that each node contains significant connectivity information, that varies systematically across task-induced states and subjects, such that measures based on these variations can be used to classify tasks and identify subjects. The results are not specific for any particular atlas but hold across different atlas resolutions. To date, studies examining changes in connectivity have focused on edge changes and assumed there is no useful information within nodes. Our findings illustrate that for typical atlases, within-node changes can be significant and may account for a substantial fraction of the variance currently attributed to edge changes .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.