ArticleFrontiers in neuroscience2019
Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Distinct neural patterns for various information in working memory: A brain connectivity study.PloS one · 2025Article
- Characterization and Classification of ADHD Subtypes: An Approach Based on the Nodal Distribution of Eigenvector Centrality and Classification Tree Model.Child psychiatry and human development · 2024Article
- Review
- Article
- Abnormal brain activity in lumbar disc herniation patients with chronic pain is associated with their clinical symptoms.Frontiers in neuroscience · 2023Article
- Eigenvector centrality dynamics are related to Alzheimer's disease pathological changes in non-demented individuals.Brain communications · 2023Article
- 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
- A hands-on tutorial on network and topological neuroscience.Brain structure & function · 2022Review
- Functional brain rewiring and altered cortical stability in ulcerative colitis.Molecular psychiatry · 2022Article
- Regional homogeneity alterations in multi-frequency bands in tension-type headache: a resting-state fMRI study.The journal of headache and pain · 2021Article
- Time-varying measures of cerebral network centrality correlate with visual saliency during movie watching.Brain and behavior · 2021Article
- Longitudinal Network Changes and Conversion to Cognitive Impairment in Multiple Sclerosis.Neurology · 2021Article
- Amyloid-driven disruption of default mode network connectivity in cognitively healthy individuals.Brain communications · 2021Article
- Sex classification using long-range temporal dependence of resting-state functional MRI time series.Human brain mapping · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the increasing use of functional brain network properties as markers of brain disorders, efficient visualization and evaluation methods have become essential. Eigenvector centrality mapping (ECM) of functional MRI (fMRI) data enables the representation of per-node graph theoretical measures as brain maps. This paper studies the use of centrality dynamics for measuring group differences in imaging studies. Imaging data were used from a publicly available imaging study, which included resting fMRI data. After warping the images to a standard space and masking cortical regions, ECM were computed in a sliding window. The dual regression method was used to identify dynamic centrality differences inside well-known resting-state networks between gender and age groups. Gender-related differences were found in the medial and lateral visual, motor, default mode, and executive control RSN, where male subjects had more consistent centrality variations within the network. Age-related differences between the youngest and oldest subjects, based on a median split, were found in the medial visual, executive control and left frontoparietal networks, where younger subjects had more consistent centrality variations within the network. Our findings show that centrality dynamics can be used to identify between-group functional brain network centrality differences, and that age and gender distributions studies need to be taken into account in functional imaging studies.
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.