Evidence map›Paper›PMID 40894394›Full record

ArticleEpilepsy & behavior reports2025

Significant seizure frequency reduction in a patient with refractory bitemporal epilepsy following transition from high-frequency to low-frequency responsive neurostimulation.

Stacey Kim, Christel Benny, Alan Salim, Charles Liu, Brian Lee, Hari Prasad Kunhi Veedu

Abstract readCase Reports
In one paragraph

Article in Epilepsy & behavior reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Stacey KimKern Medical, Bakersfield, CA, USA.
Christel BennyKern Medical, Bakersfield, CA, USA.
Alan SalimKern Medical, Bakersfield, CA, USA.
Charles LiuUSC Epilepsy Care Consortium, Los Angeles, CA, USA.
Brian LeeUSC Epilepsy Care Consortium, Los Angeles, CA, USA.
Hari Prasad Kunhi VeeduKern Medical, Bakersfield, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While many patients treated with Responsive Neurostimulation (RNS) experience a significant reduction in seizures, poor responders to traditional high frequency stimulation (HFS) may experience a meaningful reduction in seizure frequency when switched to low frequency stimulation (LFS). This case report presents a patient who developed post-traumatic pharmacoresistant bitemporal epilepsy and underwent unsuccessful treatments, including antiseizure polytherapy and implantation of a vagus nerve stimulator (VNS). Due to ongoing seizures, the patient underwent RNS System implantation with bilateral hippocampal depth electrodes. Prior to RNS implantation, the patient experienced a median frequency of 6.5 seizures per month. At traditional HFS settings applied for 30 months, the patient experienced a 31 % reduction from baseline. After switching to LFS for 8 months, the patient experienced an 85 % reduction. HFS delivered 6.02 min per day, compared to 113.77 min per day with LFS. This patient experienced a substantial and meaningful reduction in seizure frequency after switching to LFS, suggesting that LFS may be an effective alternative for RNS patients who do not have a satisfactory seizure reduction to traditional HFS. Furthermore, this case report highlights the importance of collaboration between academic medical centers with public safety net hospitals in delivering advanced epilepsy care to people in underserved communities.

Indexed as

Collaboration between academic center and community hospitalHigh frequency stimulationLow frequency stimulationRefractory bitemporal epilepsyResponsive neurostimulationSignificant seizure reduction

Identifiers

PMID40894394
PMCPMC12392759

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Registered trials

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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.