ArticleEpilepsia2022
Intracranial electroencephalographic biomarker predicts effective responsive neurostimulation for epilepsy prior to treatment.
Article in Epilepsia, 2022. 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, 56 citations in OpenAlex.
- Early assessment of responsive neurostimulation for drug-resistant epilepsy in China: A multicenter, self-controlled study.Chinese medical journal · 2025Trial
- A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026Review
- The seizure embedding map: a spatio-temporal transformer for comparing patients by ictal intracranial EEG features at scale.Journal of neural engineering · 2026Article
- Nucleus-specific thalamic involvement in seizure networks differentiates neuromodulation outcomes.medRxiv : the preprint server for health sciences · 2026Article
- Virtual Responsive Neurostimulation Implantation: From Intracranial Connectivity to Optimized Lead Placement.medRxiv : the preprint server for health sciences · 2026Article
- Responsive Neurostimulation in Patients with a History of Viral Brain Infections-A Single-Center Experience.NeuroSci · 2026Article
- Non-invasive neuromodulation for drug-resistant epilepsy: a contemporary structured review of mechanisms, clinical evidence and future directions.Frontiers in neurology · 2026Review
- The Seizure Embedding Map: A Spatio-Temporal Transformer for Comparing Patients by Ictal Intracranial EEG Features at Scale.medRxiv : the preprint server for health sciences · 2025Article
- A research roadmap for SCN8A-related disorders: addressing knowledge gaps and aligning research priorities across stakeholders.Orphanet journal of rare diseases · 2025Article
- Mapping the Epileptogenic Brain Using Low-Frequency Stimulation: Two Decades of Advances and Uncertainties.Journal of clinical medicine · 2025Review
- State-dependent effects of responsive neurostimulation depend on seizure localization.Brain : a journal of neurology · 2025Article
- Precision neuromodulation in epilepsy: from shared targets to personalized circuits.Brain communications · 2025Article
- Article
- iEEG-recon: A fast and scalable pipeline for accurate reconstruction of intracranial electrodes and implantable devices.Epilepsia · 2024Article
- The Neurostimulationist will see you now: prescribing direct electrical stimulation therapies for the human brain in epilepsy and beyond.Frontiers in human neuroscience · 2024Review
- Effective connectivity relates seizure outcome to electrode placement in responsive neurostimulation.Brain communications · 2024Article
- Therapeutic approaches targeting seizure networks.Frontiers in network physiology · 2024Review
- Unearthing the mechanisms of responsive neurostimulation for epilepsy.Communications medicine · 2023Review
- Brain functional connectivity-based prediction of vagus nerve stimulation efficacy in pediatric pharmacoresistant epilepsy.CNS neuroscience & therapeutics · 2023Article
- Quantitative approaches to guide epilepsy surgery from intracranial EEG.Brain : a journal of neurology · 2023Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 1 country.
Funding
Abstract
objectiveDespite the overall success of responsive neurostimulation (RNS) therapy for drug-resistant focal epilepsy, clinical outcomes in individuals vary significantly and are hard to predict. Biomarkers that indicate the clinical efficacy of RNS-ideally before device implantation-are critically needed, but challenges include the intrinsic heterogeneity of the RNS patient population and variability in clinical management across epilepsy centers. The aim of this study is to use a multicenter dataset to evaluate a candidate biomarker from intracranial electroencephalographic (iEEG) recordings that predicts clinical outcome with subsequent RNS therapy.
methodsWe assembled a federated dataset of iEEG recordings, collected prior to RNS implantation, from a retrospective cohort of 30 patients across three major epilepsy centers. Using ictal iEEG recordings, each center independently calculated network synchronizability, a candidate biomarker indicating the susceptibility of epileptic brain networks to RNS therapy.
resultsIctal measures of synchronizability in the high-γ band (95-105 Hz) significantly distinguish between good and poor RNS responders after at least 3 years of therapy under the current RNS therapy guidelines (area under the curve = .83). Additionally, ictal high-γ synchronizability is inversely associated with the degree of therapeutic response. SIGNIFICANCE: This study provides a proof-of-concept roadmap for collaborative biomarker evaluation in federated data, where practical considerations impede full data sharing across centers. Our results suggest that network synchronizability can help predict therapeutic response to RNS therapy. With further validation, this biomarker could facilitate patient selection and help avert a costly, invasive intervention in patients who are unlikely to benefit.
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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.