ArticleProceedings of the IEEE. Institute of Electrical and Electronics Engineers2018
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Article in Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Age-related degradation of cerebellar functional network topology.GeroScience · 2026Article
- Dynamic brain synergy uncovers functional neural coordination in Parkinson's disease under dopaminergic modulation.Journal of neuroengineering and rehabilitation · 2026Article
- A Dimensionality Reduction Approach for Motor Imagery Brain-Computer Interface Using Functional Clustering and Graph Signal Processing.Journal of medical signals and sensors · 2026Article
- Lower resting-state EEG mean eigenvector centrality is associated with higher math anxiety.Frontiers in human neuroscience · 2026Article
- Altered Topology of Brain Structural Network in Patients With Migraine Without Aura: A Structural MRI Study.European journal of pain (London, England) · 2025Article
- Capturing trial-by-trial variability in behaviour: people with Parkinson's disease exhibit a greater rate of short-term fluctuations in response times.Translational psychiatry · 2025Article
- Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence.NeuroImage · 2025Article
- Saccades influence functional modularity in the human cortical vision network.Scientific reports · 2025Article
- Aberrant static and dynamic brain functional topological organization in the differentiation of myelin oligodendrocyte glycoprotein antibody-seropositive optic neuritis from seronegative optic neuritis.Frontiers in neuroscience · 2025Article
- An EEG-network-metric based approach to real-time trust inference in human-autonomy teaming.Frontiers in neuroergonomics · 2025Article
- Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions.Brain sciences · 2024Review
- Memcapacitor Crossbar Array with Charge Trap NAND Flash Structure for Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- [Research on classification method of multimodal magnetic resonance images of Alzheimer's disease based on generalized convolutional neural networks].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data.Network neuroscience (Cambridge, Mass.) · 2022Article
- Hyperconnected Openings Codified in a Max Tree Structure: An Application for Skull-Stripping in Brain MRI T1.Sensors (Basel, Switzerland) · 2022Article
- Construction and Multiple Feature Classification Based on a High-Order Functional Hypernetwork on fMRI Data.Frontiers in neuroscience · 2022Article
- Insight Into the Effects of Clinical Repetitive Transcranial Magnetic Stimulation on the Brain From Positron Emission Tomography and Magnetic Resonance Imaging Studies: A Narrative Review.Frontiers in neuroscience · 2022Review
- Detection of Brain Network Communities During Natural Speech Comprehension From Functionally Aligned EEG Sources.Frontiers in computational neuroscience · 2022Article
- Suboptimal states and frontoparietal network-centered incomplete compensation revealed by dynamic functional network connectivity in patients with post-stroke cognitive impairment.Frontiers in aging neuroscience · 2022Article
- A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Human brain connectivity is complex. Graph theory based analysis has become a powerful and popular approach for analyzing brain imaging data, largely because of its potential to quantitatively illuminate the networks, the static architecture in structure and function, the organization of dynamic behavior over time, and disease related brain changes. The first step in creating brain graphs is to define the nodes and edges connecting them. We review a number of approaches for defining brain nodes including fixed versus data-driven nodes. Expanding the narrow view of most studies which focus on static and/or single modality brain connectivity, we also survey advanced approaches and their performances in building dynamic and multi-modal brain graphs. We show results from both simulated and real data from healthy controls and patients with mental illnesse. We outline the advantages and challenges of these various techniques. By summarizing and inspecting recent studies which analyzed brain imaging data based on graph theory, this article provides a guide for developing new powerful tools to explore complex brain networks.
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.