ArticleBrain connectivity2017
Data-Driven Topological Filtering Based on Orthogonal Minimal Spanning Trees: Application to Multigroup Magnetoencephalography Resting-State Connectivity.
Article in Brain connectivity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 82 citations in OpenAlex.
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- Rich-club organization and functional brain network metrics during facial emotional processing: a task-based fMRI study.Behavioral and brain functions : BBF · 2026Article
- Dynamics of brain connectivity across the Alzheimer's disease spectrum through magnetoencephalography.Scientific reports · 2026Article
- Crochet increases attention through a requiring motor skill learning.Scientific reports · 2025Article
- Dataset factors associated with age-related changes in brain structure and function in neurodevelopmental conditions.Human brain mapping · 2024Article
- Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics.Nature communications · 2024Article
- The flattening of spacetime hierarchy of theNational science review · 2024Article
- Investigating robust associations between functional connectivity based on graph theory and general intelligence.Scientific reports · 2024Article
- Altered hippocampal connectivity dynamics predicts memory performance in neuropsychiatric lupus: a resting-state fMRI study using cross-recurrence quantification analysis.Lupus science & medicine · 2023Article
- Richer than we thought: neurophysiological methods reveal rich-club network development is frequency- and sex-dependent.iScience · 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
- Identifying Replicable Subgroups in Neurodevelopmental Conditions Using Resting-State Functional Magnetic Resonance Imaging Data.JAMA network open · 2023Article
- Optimizing network neuroscience computation of individual differences in human spontaneous brain activity for test-retest reliability.Network neuroscience (Cambridge, Mass.) · 2023Article
- Assessing the Repeatability of Multi-Frequency Multi-Layer Brain Network Topologies Across Alternative Researcher's Choice Paths.Neuroinformatics · 2023Article
- A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle- and old-aged adults.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Odor Pleasantness Modulates Functional Connectivity in the Olfactory Hedonic Processing Network.Brain sciences · 2022Article
- Brain network topology and personality traits: A source level magnetoencephalographic study.Scandinavian journal of psychology · 2022Article
- Tracking the Progression and Influence of Beta-Amyloid Plaques Using Percolation Centrality and Collective Influence Algorithm: A Study Using PET Images.Annals of neurosciences · 2022Article
- Decoding motor expertise from fine-tuned oscillatory network organization.Human brain mapping · 2022Article
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 4 countries.
Funding
Abstract
In the present study, a novel data-driven topological filtering technique is introduced to derive the backbone of functional brain networks relying on orthogonal minimal spanning trees (OMSTs). The method aims to identify the essential functional connections to ensure optimal information flow via the objective criterion of global efficiency minus the cost of surviving connections. The OMST technique was applied to multichannel, resting-state neuromagnetic recordings from four groups of participants: healthy adults (n = 50), adults who have suffered mild traumatic brain injury (n = 30), typically developing children (n = 27), and reading-disabled children (n = 25). Weighted interactions between network nodes (sensors) were computed using an integrated approach of dominant intrinsic coupling modes based on two alternative metrics (symbolic mutual information and phase lag index), resulting in excellent discrimination of individual cases according to their group membership. Classification results using OMST-derived functional networks were clearly superior to results using either relative power spectrum features or functional networks derived through the conventional minimal spanning tree algorithm.
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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.