ArticleBrain communications2024
High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery.
Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 17 citations in OpenAlex.
- Internal and external validation of comprehensive high-frequency activity biomarkers for epilepsy surgery.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Article
- EEG CONNECT: A proposed reporting checklist for EEG-based connectivity studies in clinical epilepsy research.Epilepsia open · 2026Review
- The Influence of Recording Duration and Vigilance State on High-Frequency Oscillation Characterization in Epilepsy.Neurology · 2026Article
- Bridging computational and clinical strategies for presurgical identification of epileptogenic networks.Epilepsia open · 2026Article
- Tau pathology in epilepsy: emerging mechanisms and translational opportunities.Brain : a journal of neurology · 2026Review
- Epileptogenicity alters intrahippocampal ripple propagation.medRxiv : the preprint server for health sciences · 2026Article
- Optimization of cortico-cortical spectral response analysis parameters for seizure onset zone localization.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Article
- Inroads into epilepsy through high-frequency oscillations: Achievements and benchmark areas for improvement.Epilepsia · 2026Review
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 2026Article
- Predicting Surgical Outcome in Drug-Resistant Epilepsy by Combining Interictal Biomarkers within a Machine Learning Framework.Research square · 2026Article
- Electrophysiological readout of ACTH-related neuroendocrine-immunomodulatory treatment response in infantile epileptic spasms syndrome: suppression of scalp ripple propagation networks.Frontiers in immunology · 2026Article
- Internal and External Validation of Comprehensive High-Frequency Activity Biomarkers for Epilepsy Surgery.medRxiv : the preprint server for health sciences · 2025Article
- Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy.NPJ systems biology and applications · 2025Article
- Multicentre analysis of seizure outcome predicted by removal of high-frequency oscillations.Brain : a journal of neurology · 2025Observational
- Can brain network analyses guide epilepsy surgery?Current opinion in neurology · 2025Review
- Normative high-frequency oscillation phase-amplitude coupling and effective connectivity under sevoflurane.Brain communications · 2025Article
- Simulated resections and RNS placement can optimize post-operative seizure outcomes when guided by fast ripple networks.medRxiv : the preprint server for health sciences · 2024Article
- Simulated resections and responsive neurostimulator placement can optimize postoperative seizure outcomes when guided by fast ripple networks.Brain communications · 2024Article
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
High frequency oscillations are a promising biomarker of outcome in intractable epilepsy. Prior high frequency oscillation work focused on counting high frequency oscillations on individual channels, and it is still unclear how to translate those results into clinical care. We show that high frequency oscillations arise as network discharges that have valuable properties as predictive biomarkers. Here, we develop a tool to predict patient outcome before surgical resection is performed, based on only prospective information. In addition to determining high frequency oscillation rate on every channel, we performed a correlational analysis to evaluate the functional connectivity of high frequency oscillations in 28 patients with intracranial electrodes. We found that high frequency oscillations were often not solitary events on a single channel, but part of a local network discharge. Eigenvector and outcloseness centrality were used to rank channel importance within the connectivity network, then used to compare patient outcome by comparison with the seizure onset zone or a proportion within the proposed resected channels (critical resection percentage). Combining the knowledge of each patient's seizure onset zone resection plan along with our computed high frequency oscillation network centralities and high frequency oscillation rate, we develop a Naïve Bayes model that predicts outcome (positive predictive value: 100%) better than predicting based upon fully resecting the seizure onset zone (positive predictive value: 71%). Surgical margins had a large effect on outcomes: non-palliative patients in whom most of the seizure onset zone was resected ('definitive surgery', ≥ 80% resected) had predictable outcomes, whereas palliative surgeries (<80% resected) were not predictable. These results suggest that the addition of network properties of high frequency oscillations is more accurate in predicting patient outcome than seizure onset zone alone in patients with most of the seizure onset zone removed and offer great promise for informing clinical decisions in surgery for refractory epilepsy.
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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.