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Cited by 266

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

The RNS System: responsive cortical stimulation for the treatment of refractory partial epilepsy

Open access
Sun, Felice T, Morrell, Martha J·2014·Expert Review of Medical Devices

Abstract

The RNS(®) System is the first commercially available device to provide closed-loop responsive brain stimulation. The system includes a cranially implanted neurostimulator that continually monitors the electrocorticogram through one or two depth and/or subdural cortical strip leads that are placed at the seizure focus. When abnormal electrographic activity is detected, the neurostimulator delivers brief pulses of electrical stimulation to the seizure focus through the implanted leads. In November 2013, the US FDA approved the RNS System as an adjunctive therapy for patients with drug resistant, partial onset seizures who have undergone diagnostic testing that localized no more than 2 epileptogenic foci. Safety and effectiveness of the RNS System for the indicated patient population was demonstrated in a multicenter, randomized, sham-stimulation controlled 2-year pivotal study. An ongoing, prospective, long-term treatment study is currently gathering an additional 7 years of prospective safety and effectiveness data of the RNS System.

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Metadata

Authors
Sun, F. T., & Morrell, M. J.
Venue
Expert Review of Medical Devices
Published
2014-08-21
Volume
11
Issue
6
Pages
563-572
ISSN
  • 1743-4440 (ISSN-L)
  • 1745-2422
OpenAlex
W2168067596
Cited by
266
References
46
FWCI
8.98
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The RNS System: responsive cortical stimulation for the treatment of refractory partial epilepsy. https://app.cochat.ai/papers/10.1586/17434440.2014.947274
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Sun, F. T., & Morrell, M. J. (2014). The RNS System: responsive cortical stimulation for the treatment of refractory partial epilepsy. Expert Review of Medical Devices. https://doi.org/10.1586/17434440.2014.947274

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.