ReviewBiomedicines2022
Responsive Neurostimulation for Seizure Control: Current Status and Future Directions.
Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- The comparison of DBS and RNS for adult drug-resistant epilepsy: a systematic review and meta-analysis.Frontiers in human neuroscience · 2024Pooled it
- Clinical application of artificial intelligence technology in epilepsy.Acta epileptologica · 2026Review
- Review
- Pathway to Adaptive Neuromodulation: Modeling Epileptogenic Brain States Using SEEG.Epilepsy currents · 2026Article
- Dataset of chronic intracranial EEG of epilepsy patients via responsive neurostimulation system.Frontiers in neuroscience · 2026Article
- Enhancing seizure control in ultra-refractory postencephalitic epilepsies using multinodal network neuromodulation.Epilepsy & behavior reports · 2025Article
- Identifying the epileptic network by linking interictal functional and structural connectivity.Scientific reports · 2025Article
- Seizure freedom using a regional approach to responsive neurostimulation for multifocal drug-resistant epilepsy: illustrative case.Journal of neurosurgery. Case lessons · 2024Article
- Role of Responsive Neurostimulation in Managing Drug-Resistant Epilepsy: A Systematic Review of Clinical Outcomes.Cureus · 2024Review
- Origami-inspired soft fluidic actuation for minimally invasive large-area electrocorticography.Nature communications · 2024Article
- Modeling seizure networks in neuron-glia cultures using microelectrode arrays.Frontiers in network physiology · 2024Article
- The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials.Frontiers in neurology · 2024Review
- Therapeutic approaches targeting seizure networks.Frontiers in network physiology · 2024Review
- MR-Guided Focused Ultrasound for Refractory Epilepsy: Where Are We Now?Journal of clinical medicine · 2023Article
- The Utility of Responsive Neurostimulation for the Treatment of Pediatric Drug-Resistant Epilepsy.Brain sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrocorticography (ECoG) data are commonly obtained during drug-resistant epilepsy (DRE) workup, in which subdural grids and stereotaxic depth electrodes are placed on the cortex for weeks at a time, with the goal of elucidating seizure origination. ECoG data can also be recorded from neuromodulatory devices, such as responsive neurostimulation (RNS), which involves the placement of electrodes deep in the brain. Of the neuromodulatory devices, RNS is the first to use recorded ECoG data to direct the delivery of electrical stimulation in order to control seizures. In this review, we first introduced the clinical management for epilepsy, and discussed the steps from seizure onset to surgical intervention. We then reviewed studies discussing the emergence and therapeutic mechanism behind RNS, and discussed why RNS may be underperforming despite an improved seizure detection mechanism. We discussed the potential utility of incorporating machine learning techniques to improve seizure detection in RNS, and the necessity to change RNS targets for stimulation, in order to account for the network theory of epilepsy. We concluded by commenting on the current and future status of neuromodulation in managing epilepsy, and the role of predictive algorithms to improve outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.