ArticleNeuroImage2018
Dynamic graph metrics: Tutorial, toolbox, and tale.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
71 citing papers in PubMed.
- Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present.Proceedings of the National Academy of Sciences of the United States of America · 2023Trial
- Machine learning for missing data imputation in Alzheimer's research: predicting medial temporal lobe dynamic flexibility.Cognitive neurodynamics · 2026Article
- Bored out of my mind: Integrated and flexible brain networks define trait boredom.Cognitive, affective & behavioral neuroscience · 2026Article
- Dopamine-related alterations in functional brain network dynamic reconfiguration in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Complex affect dynamics offer limited incremental value for cross-sectional prediction of psychological and behavioural variables in cross-validated models.BMC medicine · 2026Article
- Functional connectivity dynamics of monoaminergic circuits related to fatigue in multiple sclerosis.Journal of neurology · 2026Article
- Time-Varying Brain Functional Reconfiguration Patterns Associated With Fatigue in Multiple Sclerosis.Human brain mapping · 2026Observational
- Comparing local brain activity and distant functional connectivity in transgender women compared to cisgender controls.Scientific reports · 2026Article
- Dynamic reconfigurations of brain subnetworks in female patients with alcohol use disorder or bulimia nervosa: a resting-state functional magnetic resonance imaging study.European archives of psychiatry and clinical neuroscience · 2025Article
- Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns.Frontiers in computational neuroscience · 2025Article
- Evoked slow oscillations and dynamic network reorganization after stroke.Brain communications · 2025Article
- Characterizing dynamic functional connectivity subnetwork contributions in narrative classification with Shapley values.Network neuroscience (Cambridge, Mass.) · 2025Article
- Dynamic reconfiguration of brain functional networks in world class gymnasts: a resting-state functional MRI study.Brain communications · 2025Article
- Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior.Nature communications · 2024Article
- Alterations in spatiotemporal characteristics of dynamic networks in juvenile myoclonic epilepsy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder.Brain sciences · 2024Article
- Aberrant Flexibility of Dynamic Brain Network in Patients with Autism Spectrum Disorder.Bioengineering (Basel, Switzerland) · 2024Article
- Controllability in attention deficit hyperactivity disorder brains.Cognitive neurodynamics · 2024Article
- Modeling brain network flexibility in networks of coupled oscillators: a feasibility study.Scientific reports · 2024Article
- Sex differences in human brain networks in normal and psychiatric populations from the perspective of small-world properties.Frontiers in psychiatry · 2024Review
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The central nervous system is composed of many individual units - from cells to areas - that are connected with one another in a complex pattern of functional interactions that supports perception, action, and cognition. One natural and parsimonious representation of such a system is a graph in which nodes (units) are connected by edges (interactions). While applicable across spatiotemporal scales, species, and cohorts, the traditional graph approach is unable to address the complexity of time-varying connectivity patterns that may be critically important for an understanding of emotional and cognitive state, task-switching, adaptation and development, or aging and disease progression. Here we survey a set of tools from applied mathematics that offer measures to characterize dynamic graphs. Along with this survey, we offer suggestions for visualization and a publicly-available MATLAB toolbox to facilitate the application of these metrics to existing or yet-to-be acquired neuroimaging data. We illustrate the toolbox by applying it to a previously published data set of time-varying functional graphs, but note that the tools can also be applied to time-varying structural graphs or to other sorts of relational data entirely. Our aim is to provide the neuroimaging community with a useful set of tools, and an intuition regarding how to use them, for addressing emerging questions that hinge on accurate and creative analyses of dynamic graphs.
Indexed as
Identifiers
What OpenQuestion holds
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.