SynthesisPloS one2014
Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis.
Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.
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Who cites it
76 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional and effective EEG connectivity patterns in Alzheimer's disease and mild cognitive impairment: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Individual-specific resting-state networks predict language dominance in drug-resistant epilepsy.Epilepsia · 2026Article
- Directed graph neural networks with partial directed coherence for seizure prediction and epileptogenic network characterization.iScience · 2026Article
- EEG CONNECT: A proposed reporting checklist for EEG-based connectivity studies in clinical epilepsy research.Epilepsia open · 2026Review
- Observational
- Brain connectivity signatures of cognitive impairment in temporal lobe epilepsy identified by robotic assessment.Neuroimage. Reports · 2026Article
- Static and dynamic intracerebral signal analysis reveals protective networks against seizures in drug-resistant focal epilepsy.Brain communications · 2026Article
- Seizure-onset zone lateralization in temporal lobe epilepsy using 7T rs-fMRI: Direct comparison with 3T rs-fMRI.Epilepsia · 2025Article
- Multiple subcortical and subcortico-cortico dynamic network reconfigurations characterize focal-to-bilateral tonic-clonic seizures.Scientific reports · 2025Article
- The impact of resective epilepsy surgery on the brain network: evidence from post-surgical imaging.Brain : a journal of neurology · 2025Review
- Altered Effective Connectivity of the Attentional Network in Temporal Lobe Epilepsy with EEG Data.Bioengineering (Basel, Switzerland) · 2025Article
- High-Density Electroencephalography Detects Spatiotemporal Abnormalities in Brain Networks in Patients With Glioma-Related Epilepsy.CNS neuroscience & therapeutics · 2025Article
- Counterfactual explanations of tree based ensemble models for brain disease analysis with structure function coupling.Scientific reports · 2025Article
- Electro-Clinical Features and Functional Connectivity Analysis in SYN1-Related Epilepsy.Annals of neurology · 2024Article
- The relationship between pathological brain activity and functional network connectivity in glioma patients.Journal of neuro-oncology · 2024Article
- Brain network changes after the first seizure: an insight into medication response?Brain communications · 2024Article
- Progressive remodeling of structural networks following surgery for operculo-insular epilepsy.Frontiers in neurology · 2024Article
- Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy.Network neuroscience (Cambridge, Mass.) · 2024Article
- Electroencephalography derived connectivity informing epilepsy surgical planning: Towards clinical applications and future perspectives.NeuroImage. Clinical · 2024Review
- Structural connectivity as a predictive factor for responsiveness to levetiracetam treatment in epilepsy.Neuroradiology · 2024Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Normal brain functioning is presumed to depend upon interacting regions within large-scale neuronal networks. Increasing evidence exists that interictal network alterations in focal epilepsy are associated with cognitive and behavioral deficits. Nevertheless, the reported network alterations are inconclusive and prone to low statistical power due to small sample sizes as well as modest effect sizes. We therefore systematically reviewed the existing literature and conducted a meta-analysis to characterize the changes in whole-brain interictal focal epilepsy networks at sufficient power levels. We focused on the two most commonly used metrics in whole-brain networks: average path length and average clustering coefficient. Twelve studies were included that reported whole-brain network average path length and average clustering coefficient characteristics in patients and controls. The overall group difference, quantified as the standardized mean average path length difference between epilepsy and control groups, corresponded to a significantly increased average path length of 0.29 (95% confidence interval (CI): 0.12 to 0.45, p = 0.0007) in the epilepsy group. This suggests a less integrated interictal whole-brain network. Similarly, a significantly increased standardized mean average clustering coefficient of 0.35 (CI: 0.05 to 0.65, p = 0.02) was found in the epilepsy group in comparison with controls, pointing towards a more segregated interictal network. Sub-analyses revealed similar results for functional and structural networks in terms of effect size and directionality for both metrics. In addition, we found individual network studies to be prone to low power due to the relatively small group differences in average path length and average clustering coefficient in combination with small sample sizes. The pooled network characteristics support the hypothesis that focal epilepsy has widespread detrimental effects, that is, reduced integration and increased segregation, on whole brain interictal network organization, which may relate to the co-morbid cognitive and behavioral impairments often reported in patients with focal epilepsy.
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