ArticleNeuroImage. Clinical2016
High frequency oscillations and high frequency functional network characteristics in the intraoperative electrocorticogram in epilepsy.
Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Multi-centre normative brain mapping of intracranial EEG lifespan patterns in the human brain.Brain structure & function · 2025Article
- Multimodal quantitative analysis guides precise preoperative localization of epilepsy.Journal of neurology · 2025Review
- Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning.Scientific reports · 2025Article
- Gamma amplitude-envelope correlations are strongly elevated within hyperexcitable networks in focal epilepsy.Scientific reports · 2024Article
- Benchmarking signal quality and spatiotemporal distribution of interictal spikes in prolonged human iEEG recordings using CorTec wireless brain interchange.Scientific reports · 2024Article
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
- High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery.Brain communications · 2024Article
- Quantitative approaches to guide epilepsy surgery from intracranial EEG.Brain : a journal of neurology · 2023Article
- The association of magnetoencephalography high-frequency oscillations with epilepsy types and a ripple-based method with source-level connectivity for mapping epilepsy sources.CNS neuroscience & therapeutics · 2023Article
- Epileptic Tissue Localization through Skewness-Based Functional Connectivity in the High-Frequency Band of Intracranial EEG.Bioengineering (Basel, Switzerland) · 2023Article
- Article
- Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities.Frontiers in human neuroscience · 2023Review
- High-Frequency Oscillations and Epileptogenic Network.Current neuropharmacology · 2022Article
- Normative intracranial EEG maps epileptogenic tissues in focal epilepsy.Brain : a journal of neurology · 2022Article
- Dynamical Network Models From EEG and MEG for Epilepsy Surgery-A Quantitative Approach.Frontiers in neurology · 2022Review
- Graph theoretical measures of fast ripples support the epileptic network hypothesis.Brain communications · 2022Article
- Epileptogenic Zone Location of Temporal Lobe Epilepsy by Cross-Frequency Coupling Analysis.Frontiers in neurology · 2021Article
- Trends in the use of automated algorithms for the detection of high-frequency oscillations associated with human epilepsy.Epilepsia · 2020Review
- Interictal intracranial electroencephalography for predicting surgical success: The importance of space and time.Epilepsia · 2020Article
- Scalp ripples as prognostic biomarkers of epileptogenicity in pediatric surgery.Annals of clinical and translational neurology · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveHigh frequency oscillations (HFOs; > 80 Hz), especially fast ripples (FRs, 250-500 Hz), are novel biomarkers for epileptogenic tissue. The pathophysiology suggests enhanced functional connectivity within FR generating tissue. Our aim was to determine the relation between brain areas showing FRs and 'baseline' functional connectivity within EEG networks, especially in the high frequency bands.
methodsWe marked FRs, ripples (80-250 Hz) and spikes in the electrocorticogram of 14 patients with refractory temporal lobe epilepsy. We assessed 'baseline' functional connectivity in epochs free of epileptiform events within these recordings, using the phase lag index. We computed the Eigenvector Centrality (EC) per channel in the FR and gamma band network. We compared EC between channels that did or did not show events at other moments in time.
resultsFR-band EC was higher in channels with than without spikes. Gamma-band EC was lower in channels with ripples and FRs.
conclusionsWe confirmed previous findings of functional isolation in the gamma-band and found a first proof of functional integration in the FR-band network of channels covering presumed epileptogenic tissue. SIGNIFICANCE: 'Baseline' high-frequency network parameters might help intra-operative recognition of epileptogenic tissue without the need for waiting for events. These findings can increase our understanding of the 'architecture' of epileptogenic networks and help unravel the pathophysiology of HFOs.
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