Evidence map›Paper›PMID 37796038›Full record

ArticleBrain : a journal of neurology2024

Closed-loop stimulation in periods with less epileptiform activity drives improved epilepsy outcomes.

Daria Nesterovich Anderson, Chantel M Charlebois, Elliot H Smith, Tyler S Davis, Angela Y Peters, Blake J Newman, Amir M Arain, Karen S Wilcox, Christopher R Butson, John D Rolston

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Trial
  2. Article
  3. A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026
    Review
  4. Review
  5. Review
  6. Clusters in Thalamic iEEG Spectral Features Reveal Sleep/Wake Differences Over Time.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Responsive neurostimulation in children, adolescents, and young Adults-Longitudinal effectiveness and safety.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Interneuron theta phase locking controls seizure susceptibility.bioRxiv : the preprint server for biology · 2025
    Article
  20. Review
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

10 authors.

Daria Nesterovich AndersonDepartment of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0002-9093-7504
Chantel M CharleboisDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0002-4139-3539
Elliot H SmithDepartment of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0003-4323-4643
Tyler S DavisDepartment of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.
Angela Y PetersDepartment of Neurology, University of Utah, Salt Lake City, UT 84132, USA.
Blake J NewmanDepartment of Neurology, University of Utah, Salt Lake City, UT 84132, USA.
Amir M ArainDepartment of Neurology, University of Utah, Salt Lake City, UT 84132, USA.
Karen S WilcoxDepartment of Pharmacology and Toxicology, University of Utah, Salt Lake City, UT 84112, USA.
Christopher R ButsonNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL 32608, USA.
John D RolstonDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0002-8843-5468

Funding

Cellular and Network Mechanisms of Seizure Control Through StimulationF32NS114322 · NINDS · UNIVERSITY OF UTAH · PI ANDERSON, DARIA NESTEROVICH · 2019 to 2022
$194k
NINDS NIH HHS F32 NS114322
6 · The paper itself

Abstract

In patients with drug-resistant epilepsy, electrical stimulation of the brain in response to epileptiform activity can make seizures less frequent and debilitating. This therapy, known as closed-loop responsive neurostimulation (RNS), aims to directly halt seizure activity via targeted stimulation of a burgeoning seizure. Rather than immediately stopping seizures as they start, many RNS implants produce slower, long-lasting changes in brain dynamics that better predict clinical outcomes. Here we hypothesize that stimulation during brain states with less epileptiform activity drives long-term changes that restore healthy brain networks. To test this, we quantified stimulation episodes during low- and high-risk brain states-that is, stimulation during periods with a lower or higher risk of generating epileptiform activity-in a cohort of 40 patients treated with RNS. More frequent stimulation in tonic low-risk states and out of rhythmic high-risk states predicted seizure reduction. Additionally, stimulation events were more likely to be phase-locked to prolonged episodes of abnormal activity for intermediate and poor responders when compared to super-responders, consistent with the hypothesis that improved outcomes are driven by stimulation during low-risk states. These results support the hypothesis that stimulation during low-risk periods might underlie the mechanisms of RNS, suggesting a relationship between temporal patterns of neuromodulation and plasticity that facilitates long-term seizure reduction.

Indexed as

Deep Brain StimulationDrug Resistant EpilepsyEpilepsyBrainHumansSeizuresbrain statesclosed-loop stimulationepilepsyneuromodulationresponsive neurostimulation

Identifiers

PMID37796038
PMCPMC10834245

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.