ArticleFrontiers in neuroinformatics2017
Topological Filtering of Dynamic Functional Brain Networks Unfolds Informative Chronnectomics: A Novel Data-Driven Thresholding Scheme Based on Orthogonal Minimal Spanning Trees (OMSTs).
Article in Frontiers in neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed, 130 citations in OpenAlex.
- Peripheral magnetic stimulation effects on brain activity in older adults with schizophrenia - a randomized controlled pilot study.Frontiers in psychiatry · 2026Trial
- Structure-Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS.Annals of clinical and translational neurology · 2026Article
- Brain Graph Sparsification for fMRI-based Connectome Analysis: A Methodological Review.Neuroinformatics · 2026Review
- Rich-club organization and functional brain network metrics during facial emotional processing: a task-based fMRI study.Behavioral and brain functions : BBF · 2026Article
- Age-related differences in eye blink-related neural activity and functional connectivity during driving.Heliyon · 2025Article
- Brain Segregation and Integration Relate to Word-Finding Abilities in Older and Younger Adults.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Dynamic fluctuations of intrinsic brain activity are associated with consistent topological patterns in puberty and are biomarkers of neural maturation.Network neuroscience (Cambridge, Mass.) · 2025Article
- A Principled Framework to Assess the Information-Theoretic Fitness of Brain Functional Sub-Circuits.Mathematics (Basel, Switzerland) · 2024Article
- Altered functional connectivity in preterm neonates with intraventricular hemorrhage assessed using functional near-infrared spectroscopy.Scientific reports · 2024Article
- A principled framework to assess the information-theoretic fitness of brain functional sub-circuits.ArXiv · 2024Article
- Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics.Nature communications · 2024Article
- Modeling the neurocognitive dynamics of language across the lifespan.Human brain mapping · 2024Article
- Investigating robust associations between functional connectivity based on graph theory and general intelligence.Scientific reports · 2024Article
- Multiplexity of human brain oscillations as a personal brain signature.Human brain mapping · 2023Article
- Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence.Nature communications · 2023Article
- Well-being is associated with cortical thickness network topology of human brain.Behavioral and brain functions : BBF · 2023Article
- Conscientiousness associated with efficiency of the salience/ventral attention network: Replication in three samples using individualized parcellation.NeuroImage · 2023Article
- Age-related reorganization of functional network architecture in semantic cognition.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion.Neuroinformatics · 2023Article
- Genetic risk for schizophrenia is associated with increased proportion of indirect connections in brain networks revealed by a semi-metric analysis: evidence from population sample stratified for polygenic risk.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
The human brain is a large-scale system of functionally connected brain regions. This system can be modeled as a network, or graph, by dividing the brain into a set of regions, or "nodes," and quantifying the strength of the connections between nodes, or "edges," as the temporal correlation in their patterns of activity. Network analysis, a part of graph theory, provides a set of summary statistics that can be used to describe complex brain networks in a meaningful way. The large-scale organization of the brain has features of complex networks that can be quantified using network measures from graph theory. The adaptation of both bivariate (mutual information) and multivariate (Granger causality) connectivity estimators to quantify the synchronization between multichannel recordings yields a fully connected, weighted, (a)symmetric functional connectivity graph (FCG), representing the associations among all brain areas. The aforementioned procedure leads to an extremely dense network of tens up to a few hundreds of weights. Therefore, this FCG must be filtered out so that the "true" connectivity pattern can emerge. Here, we compared a large number of well-known topological thresholding techniques with the novel proposed data-driven scheme based on orthogonal minimal spanning trees (OMSTs). OMSTs filter brain connectivity networks based on the optimization between the global efficiency of the network and the cost preserving its wiring. We demonstrated the proposed method in a large EEG database (
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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.