ArticleNetwork neuroscience (Cambridge, Mass.)2020
Network communication models improve the behavioral and functional predictive utility of the human structural connectome.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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60 citing papers in PubMed.
- Human cortical networks trade communication efficiency for computational reliability.Science advances · 2026Article
- Emerging paradigms in connectome-guided neurosurgery for central nervous system tumors: a narrative review of structural and functional connectomics.Annals of medicine and surgery (2012) · 2026Review
- A multi-modal parcellation of human globus pallidus and its implications for symptom prediction and stratification in Parkinson's disease.BMC medicine · 2026Article
- Article
- Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling.Human brain mapping · 2026Article
- Introducing Structural Reliance: A New Method to Assess Structure-Function Coupling in the Brain.Human brain mapping · 2026Article
- The role of white matter myelin in structural-functional network coupling.Communications biology · 2026Article
- Variation in high-amplitude events across the human lifespan.Network neuroscience (Cambridge, Mass.) · 2026Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.Network neuroscience (Cambridge, Mass.) · 2026Article
- Multidimensional structural-functional coupling uncovers network dysregulation and predicts binge-eating severity in bulimia nervosa.BMC medicine · 2025Article
- Inferring intrinsic neural timescales using optimal control theory.Nature communications · 2025Article
- Decoding brain structure-function dynamics in health and in psychosis via an autoencoder.Scientific reports · 2025Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.bioRxiv : the preprint server for biology · 2025Article
- Mechanisms of Long-Term Nonexternally Reinforced Preference Change: Functional Connectivity Changes in a Longitudinal Functional MRI Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Trait-Relevant Tasks Improve Personality Prediction from Structural-Functional Brain Network Coupling.bioRxiv : the preprint server for biology · 2025Article
- The role of structural connectivity on brain function through a Markov model of signal transmission.bioRxiv : the preprint server for biology · 2025Article
- Narcissistic and Antisocial Personality Traits Are Both Encoded in the Triple Network: Connectomics Evidence.Psychophysiology · 2025Article
- Benchmarking methods for mapping functional connectivity in the brain.Nature methods · 2025Article
- Structural network communication differences in drug-naive depressed adolescents with non-suicidal self-injury and suicide attempts.World journal of psychiatry · 2025Article
- Article
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3 authors.
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Abstract
The connectome provides the structural substrate facilitating communication between brain regions. We aimed to establish whether accounting for polysynaptic communication in structural connectomes would improve prediction of interindividual variation in behavior as well as increase structure-function coupling strength. Connectomes were mapped for 889 healthy adults participating in the Human Connectome Project. To account for polysynaptic signaling, connectomes were transformed into communication matrices for each of 15 different network communication models. Communication matrices were (a) used to perform predictions of five data-driven behavioral dimensions and (b) correlated to resting-state functional connectivity (FC). While FC was the most accurate predictor of behavior, communication models, in particular communicability and navigation, improved the performance of structural connectomes. Communication also strengthened structure-function coupling, with the navigation and shortest paths models leading to 35-65% increases in association strength with FC. We combined behavioral and functional results into a single ranking that provides insight into which communication models may more faithfully recapitulate underlying neural signaling patterns. Comparing results across multiple connectome mapping pipelines suggested that modeling polysynaptic communication is particularly beneficial in sparse high-resolution connectomes. We conclude that network communication models can augment the functional and behavioral predictive utility of the human structural connectome.
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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.