Evidence map›Paper›PMID 39052924›Full record

ArticleBrain : a journal of neurology2025

State-dependent effects of responsive neurostimulation depend on seizure localization.

Sharon Chiang, Ankit N Khambhati, Thomas K Tcheng, Audra Plenys Loftman, Nicholas R Hasulak, Emily A Mirro, Martha J Morrell, Vikram R Rao

Abstract readMulticenter Study
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026
    Review
  2. Article
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  5. Article
  6. Epileptiform Activity and Seizure Risk Follow Long-Term Non-Linear Attractor Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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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

8 authors.

Sharon ChiangDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-4548-4550
Ankit N KhambhatiDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-6182-4677
Thomas K TchengNeuroPace Inc, Mountain View, CA 94043, USA.
Audra Plenys LoftmanClinical Research Consultant, Menlo Park, CA 94025, USA.
Nicholas R HasulakPhoenix Research Consulting, LLC, Gilbert, AZ 85233, USA.
Emily A MirroSynchNeuro, Inc, Philadelphia, PA 19106, USA.
Martha J MorrellNeuroPace Inc, Mountain View, CA 94043, USA.
Vikram R RaoDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-responsive neurostimulation (RNS) is firmly ensconced among treatment options for drug-resistant focal epilepsy, but over a quarter of patients treated with the RNS® System do not experience meaningful seizure reduction. Initial titration of RNS therapy is typically similar for all patients, raising the possibility that treatment response might be enhanced by consideration of patient-specific variables. Indeed, small, single-centre studies have yielded preliminary evidence that RNS System effectiveness depends on the brain state during which stimulation is applied. The generalizability of these findings remains unclear, however, and it is unknown whether state-dependent effects of responsive neurostimulation are also stratified by location of the seizure onset zone where stimulation is delivered. We aimed to determine whether state-dependent effects of the RNS System are evident in the large, diverse, multi-centre cohort of RNS System clinical trial participants and to test whether these effects differ between mesiotemporal and neocortical epilepsies. Eighty-one of 256 patients treated with the RNS System across 31 centres during clinical trials met the criteria for inclusion in this retrospective study. Risk states were defined in relation to phases of daily and multi-day cycles of interictal epileptiform activity that are thought to determine seizure likelihood. We found that the probabilities of risk state transitions depended on the stimulation parameter being changed, the starting seizure risk state and the stimulated brain region. Changes in two commonly adjusted stimulation parameters, charge density and stimulation frequency, produced opposite effects on risk state transitions depending on seizure localization. Greater variance in acute risk state transitions was explained by state-dependent responsive neurostimulation for bipolar stimulation in neocortical epilepsies and for monopolar stimulation in mesiotemporal epilepsies. Variability in the effectiveness of RNS System therapy across individuals may relate, at least partly, to the fact that current treatment paradigms do not account fully for fluctuations in brain states or locations of simulation sites. State-dependence of electrical brain stimulation may inform the development of next-generation closed-loop devices that can detect changes in brain state and deliver adaptive, localization-specific patterns of stimulation to maximize therapeutic effects.

Indexed as

BrainDeep Brain StimulationDrug Resistant EpilepsyEpilepsies, PartialSeizuresAdolescentAdultElectroencephalographyFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeYoung Adultbrain-responsive neurostimulationclosed-loop stimulationepilepsymesiotemporal epilepsiesstate-dependencestate-space modelling

Identifiers

PMID39052924
PMCPMC11788193

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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.