Evidence map›Paper›PMID 35611310›Full record

ArticleBrain communications2022

Network connectivity predicts effectiveness of responsive neurostimulation in focal epilepsy.

Joline M Fan, Anthony T Lee, Kiwamu Kudo, Kamalini G Ranasinghe, Hirofumi Morise, Anne M Findlay, Heidi E Kirsch, Edward F Chang, Srikantan S Nagarajan, Vikram R Rao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026
    Review
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  10. Dreams interrupted: characteristics of REM sleep-associated seizures and status epilepticus.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  11. Article
  12. Article
  13. Article
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  15. Therapeutic approaches targeting seizure networks.Frontiers in network physiology · 2024
    Review
  16. Article
  17. Review
  18. Review
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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

10 authors at 1 institution in 2 countries.

Joline M FanDepartment of Neurology and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.ORCID https://orcid.org/0000-0003-1099-8479
Anthony T LeeDepartment of Neurosurgery, University of California San Francisco, San Francisco, CA, USA.
Kiwamu KudoMedical Imaging Center, Ricoh Company, Ltd., Kanazawa, Japan.
Kamalini G RanasingheDepartment of Neurology and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.ORCID https://orcid.org/0000-0002-4217-8785
Hirofumi MoriseMedical Imaging Center, Ricoh Company, Ltd., Kanazawa, Japan.
Anne M FindlayDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Heidi E KirschDepartment of Neurology and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
Edward F ChangDepartment of Neurosurgery, University of California San Francisco, San Francisco, CA, USA.
Srikantan S NagarajanDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Vikram R RaoDepartment of Neurology and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

Neurophysiological Assessments of Network Dysfunction in Alzheimer's DiseaseK08AG058749 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RANASINGHE, KAMALINI GAYATHREE · 2019 to 2023
$859k
NIA NIH HHS K08 AG058749
6 · The paper itself

Abstract

Responsive neurostimulation is a promising treatment for drug-resistant focal epilepsy; however, clinical outcomes are highly variable across individuals. The therapeutic mechanism of responsive neurostimulation likely involves modulatory effects on brain networks; however, with no known biomarkers that predict clinical response, patient selection remains empiric. This study aimed to determine whether functional brain connectivity measured non-invasively prior to device implantation predicts clinical response to responsive neurostimulation therapy. Resting-state magnetoencephalography was obtained in 31 participants with subsequent responsive neurostimulation device implantation between 15 August 2014 and 1 October 2020. Functional connectivity was computed across multiple spatial scales (global, hemispheric, and lobar) using pre-implantation magnetoencephalography and normalized to maps of healthy controls. Normalized functional connectivity was investigated as a predictor of clinical response, defined as percent change in self-reported seizure frequency in the most recent year of clinic visits relative to pre-responsive neurostimulation baseline. Area under the receiver operating characteristic curve quantified the performance of functional connectivity in predicting responders (≥50% reduction in seizure frequency) and non-responders (<50%). Leave-one-out cross-validation was furthermore performed to characterize model performance. The relationship between seizure frequency reduction and frequency-specific functional connectivity was further assessed as a continuous measure. Across participants, stimulation was enabled for a median duration of 52.2 (interquartile range, 27.0-62.3) months. Demographics, seizure characteristics, and responsive neurostimulation lead configurations were matched across 22 responders and 9 non-responders. Global functional connectivity in the alpha and beta bands were lower in non-responders as compared with responders (alpha, p

Indexed as

functional connectivityimaginary coherencemagnetoencephalographyneuromodulationRNS system

Identifiers

PMID35611310
PMCPMC9123848
OpenAlexW4225838159

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.