ArticleNeuroImage. Clinical2017
Metrics of brain network architecture capture the impact of disease in children with epilepsy.
Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 56 citations in OpenAlex.
- Improving final diagnosis in paediatric posterior fossa tumours: Correlation and discrepancy between radiologic diagnosis, intraoperative surgeon's diagnosis, and histopathology.Pakistan journal of medical sciences · 2025Article
- Imaging brain development in a KCNQ2-developmental and epileptic encephalopathy mouse model: identifying early biomarkers for functional and structural brain changes.EBioMedicine · 2025Article
- Local homeostasis preserves global neural dynamics compensating for structural loss during human lifespan aging.Communications biology · 2025Article
- Altered Effective Connectivity of the Attentional Network in Temporal Lobe Epilepsy with EEG Data.Bioengineering (Basel, Switzerland) · 2025Article
- Cerebral cortical functional hyperconnectivity in a mouse model of spinocerebellar ataxia type 8 (SCA8).Neurobiology of disease · 2025Article
- Resting-state functional MRI in pediatric epilepsy: a narrative review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025Review
- ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI.NeuroImage · 2025Article
- Hubs, influencers, and communities of executive functions: a task-based fMRI graph analysis.Frontiers in human neuroscience · 2025Article
- Cerebral cortical functional hyperconnectivity in a mouse model of spinocerebellar ataxia type 8 (SCA8).bioRxiv : the preprint server for biology · 2024Article
- Time-Varying Functional Connectivity of Rat Brain during Bipedal Walking on Unexpected Terrain.Cyborg and bionic systems (Washington, D.C.) · 2023Article
- Multilayer brain network modeling and dynamic analysis of juvenile myoclonic epilepsy.Frontiers in behavioral neuroscience · 2023Article
- Ten-year follow-up study found that motor-free intelligence quotient declined in children with mild-to-moderate cerebral palsy.Acta paediatrica (Oslo, Norway : 1992) · 2022Article
- Individual-specific networks for prediction modelling - A scoping review of methods.BMC medical research methodology · 2022Article
- Contralesional Sensorimotor Network Participates in Motor Functional Compensation in Glioma Patients.Frontiers in oncology · 2022Article
- Altered topological organization of resting-state functional networks in children with infantile spasms.Frontiers in neuroscience · 2022Article
- The gut microbiota modulates brain network connectivity under physiological conditions and after acute brain ischemia.iScience · 2021Article
- Dopamine Transporter Is a Master Regulator of Dopaminergic Neural Network Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- The Effect of Aging on Brain Glucose Metabolic Connectivity Revealed by [Frontiers in aging neuroscience · 2021Article
- Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review.Frontiers in neuroscience · 2021Review
- Comparison of topological properties of functional brain networks with graph theory in temporal lobe epilepsy with different duration of disease.Annals of translational medicine · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveEpilepsy is associated with alterations in the structural framework of the cerebral network. The aim of this study was to measure the potential of global metrics of network architecture derived from resting state functional MRI to capture the impact of epilepsy on the developing brain.
methodsPediatric patients were retrospectively identified with: 1. Focal epilepsy; 2. Brain MRI at 3 Tesla, including resting state functional MRI; 3. Full scale IQ measured by a pediatric neuropsychologist. The cerebral cortex was parcellated into approximately 700 gray matter network nodes. The strength of a connection between two nodes was defined as the correlation between their resting BOLD signal time series. The following global network metrics were then calculated: clustering coefficient, transitivity, modularity, path length, and global efficiency. Epilepsy duration was used as an index for the cumulative impact of epilepsy on the brain.
results45 patients met criteria (age: 4-19 years). After accounting for age of epilepsy onset, epilepsy duration was inversely related to IQ (
conclusionsWe observed that a machine learning algorithm accurately predicted epilepsy duration based on global metrics of network architecture derived from resting state fMRI. These findings suggest that network metrics have the potential to form the basis for statistical models that translate quantitative imaging data into patient-level markers of cognitive deterioration.
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