ArticleNetwork neuroscience (Cambridge, Mass.)2019
Subject specificity of the correlation between large-scale structural and functional connectivity.
Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- The genetic architecture of cortical similarity networks.Nature communications · 2026Article
- Subject fingerprinting and task classification rely on distinct functional connectivity features.Brain structure & function · 2026Article
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- Structure-function coupling in highly sampled individual brains.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Similarity between structural and proxy estimates of brain connectivity.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Group-common and individual-specific effects of structure-function coupling in human brain networks with graph neural networks.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Recent Progress in Brain Network Models for Medical Applications: A Review.Health data science · 2024Review
- Predicting an individual's functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects.Network neuroscience (Cambridge, Mass.) · 2024Article
- Graph propagation network captures individual specificity of the relationship between functional and structural connectivity.Human brain mapping · 2023Article
- Comparing individual and group-level simulated neurophysiological brain connectivity using the Jansen and Rit neural mass model.Network neuroscience (Cambridge, Mass.) · 2023Article
- Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures.Network neuroscience (Cambridge, Mass.) · 2022Article
- Edges in brain networks: Contributions to models of structure and function.Network neuroscience (Cambridge, Mass.) · 2022Review
- Article
- Inter-subject and inter-parcellation variability of resting-state whole-brain dynamical modeling.NeuroImage · 2021Article
- A graph neural network framework for causal inference in brain networks.Scientific reports · 2021Article
- Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning.Computational intelligence and neuroscience · 2021Review
- Mapping brain-behavior networks using functional and structural connectome fingerprinting in the HCP dataset.Brain and behavior · 2020Article
- Parcellation influence on the connectivity-based structure-function relationship in the human brain.Human brain mapping · 2020Article
- A macaque connectome for large-scale network simulations in TheVirtualBrain.Scientific data · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structural connectivity (SC), the physical pathways connecting regions in the brain, and functional connectivity (FC), the temporal coactivations, are known to be tightly linked. However, the nature of this relationship is still not understood. In the present study, we examined this relation more closely in six separate human neuroimaging datasets with different acquisition and preprocessing methods. We show that using simple linear associations, the relation between an individual's SC and FC is not subject specific for five of the datasets. Subject specificity of SC-FC fit is achieved only for one of the six datasets, the multimodal Glasser Human Connectome Project (HCP) parcellated dataset. We show that subject specificity of SC-FC correspondence is limited across datasets due to relatively small variability between subjects in SC compared with the larger variability in FC.
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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.