ArticleHuman brain mapping2018
Minimum spanning tree analysis of the human connectome.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Prediction of Neurological Outcome and Mortality in Cardiac Arrest Patients: An Explainable Machine Learning Study Integrating HRV, EEG, and Clinical Features.Neurocritical care · 2026Article
- Network integration and evolution of organ systems interactions during incremental exercise.European journal of applied physiology · 2026Article
- Predicting the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Graph Frequency Bands and Functional Connectivity-based Features.Basic and clinical neuroscience · 2025Article
- Cortical adaptations in regional activity and backbone network following short-term postural training with visual feedback for older adults.GeroScience · 2025Article
- Crochet increases attention through a requiring motor skill learning.Scientific reports · 2025Article
- Longitudinal changes in MEG-based brain network topology of ALS patients with cognitive/behavioral impairment-An exploratory study.Network neuroscience (Cambridge, Mass.) · 2025Article
- Minimum spanning tree analysis of EEG resting-state functional networks in schizophrenia.Scientific reports · 2024Article
- Low Functional network integrity in cognitively unimpaired and MCI subjects with depressive symptoms: results from a multi-center fMRI study.Translational psychiatry · 2024Article
- Comparison of dry and wet electroencephalography for the assessment of cognitive evoked potentials and sensor-level connectivity.Frontiers in neuroscience · 2024Article
- Minimum spanning tree analysis of unimpaired individuals at risk of Alzheimer's disease.Brain communications · 2024Article
- Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease.Medical image analysis · 2023Article
- [Effect of electroconvulsive therapy on brain functional network in major depressive disorder].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Persistent homology-based functional connectivity and its association with cognitive ability: Life-span study.Human brain mapping · 2023Article
- How Functional Connectivity Measures Affect the Outcomes of Global Neuronal Network Characteristics in Patients with Schizophrenia Compared to Healthy Controls.Brain sciences · 2023Article
- Hub structure in functional network of EEG signals supporting high cognitive functions in older individuals.Frontiers in aging neuroscience · 2023Article
- The impact of aging on human brain network target controllability.Brain structure & function · 2022Article
- Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity.Network neuroscience (Cambridge, Mass.) · 2022Article
- Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.NeuroImage · 2022Review
- A hands-on tutorial on network and topological neuroscience.Brain structure & function · 2022Review
- Global and localized network characteristics of the resting brain predict and adapt to foreign language learning in older adults.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the challenges of brain network analysis is to directly compare network organization between subjects, irrespective of the number or strength of connections. In this study, we used minimum spanning tree (MST; a unique, acyclic subnetwork with a fixed number of connections) analysis to characterize the human brain network to create an empirical reference network. Such a reference network could be used as a null model of connections that form the backbone structure of the human brain. We analyzed the MST in three diffusion-weighted imaging datasets of healthy adults. The MST of the group mean connectivity matrix was used as the empirical null-model. The MST of individual subjects matched this reference MST for a mean 58%-88% of connections, depending on the analysis pipeline. Hub nodes in the MST matched with previously reported locations of hub regions, including the so-called rich club nodes (a subset of high-degree, highly interconnected nodes). Although most brain network studies have focused primarily on cortical connections, cortical-subcortical connections were consistently present in the MST across subjects. Brain network efficiency was higher when these connections were included in the analysis, suggesting that these tracts may be utilized as the major neural communication routes. Finally, we confirmed that MST characteristics index the effects of brain aging. We conclude that the MST provides an elegant and straightforward approach to analyze structural brain networks, and to test network topological features of individual subjects in comparison to empirical null models.
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