ArticleNeuroImage2019
System-level matching of structural and functional connectomes in the human brain.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Cortical microarchitecture supports preadolescent functional brain network connectivity.bioRxiv : the preprint server for biology · 2026Article
- The role of white matter myelin in structural-functional network coupling.Communications biology · 2026Article
- Exploring the transmission of cognitive task information through optimal brain pathways.PLoS computational biology · 2025Article
- System-level brain modeling.Frontiers in computational neuroscience · 2025Article
- Observational
- Aberrant brain structural-functional connectivity coupling associated with cognitive dysfunction in different cerebral small vessel disease burdens.CNS neuroscience & therapeutics · 2024Article
- Brain network communication: concepts, models and applications.Nature reviews. Neuroscience · 2023Review
- Graph-matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score.Human brain mapping · 2023Article
- Article
- Structural brain network lateralization across childhood and adolescence.Human brain mapping · 2023Article
- Structural and functional imaging of brains.Science China. Chemistry · 2023Review
- Connectomic assessment of injury burden and longitudinal structural network alterations in moderate-to-severe traumatic brain injury.Human brain mapping · 2022Article
- Aberrant dynamic structure-function relationship of rich-club organization in treatment-naïve newly diagnosed juvenile myoclonic epilepsy.Human brain mapping · 2022Article
- DyNAMiC: A prospective longitudinal study of dopamine and brain connectomes: A new window into cognitive aging.Journal of neuroscience research · 2022Article
- Local structure-function relationships in human brain networks across the lifespan.Nature communications · 2022Article
- Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.Neuroinformatics · 2022Article
- Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection.NeuroImage · 2021Article
- Article
- Structure-informed functional connectivity driven by identifiable and state-specific control regions.Network neuroscience (Cambridge, Mass.) · 2021Article
- Network alignment and similarity reveal atlas-based topological differences in structural connectomes.Network neuroscience (Cambridge, Mass.) · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The brain can be considered as an information processing network, where complex behavior manifests as a result of communication between large-scale functional systems such as visual and default mode networks. As the communication between brain regions occurs through underlying anatomical pathways, it is important to define a "traffic pattern" that properly describes how the regions exchange information. Empirically, the choice of the traffic pattern can be made based on how well the functional connectivity between regions matches the structural pathways equipped with that traffic pattern. In this paper, we present a multimodal connectomics paradigm utilizing graph matching to measure similarity between structural and functional connectomes (derived from dMRI and fMRI data) at node, system, and connectome level. Through an investigation of the brain's structure-function relationship over a large cohort of 641 healthy developmental participants aged 8-22 years, we demonstrate that communicability as the traffic pattern describes the functional connectivity of the brain best, with large-scale systems having significant agreement between their structural and functional connectivity patterns. Notably, matching between structural and functional connectivity for the functionally specialized modular systems such as visual and motor networks are higher as compared to other more integrated systems. Additionally, we show that the negative functional connectivity between the default mode network (DMN) and motor, frontoparietal, attention, and visual networks is significantly associated with its underlying structural connectivity, highlighting the counterbalance between functional activation patterns of DMN and other systems. Finally, we investigated sex difference and developmental changes in brain and observed that similarity between structure and function changes with development.
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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.