Evidence map›Paper›PMID 35620169›Full record

ArticleBrain communications2022

Graph theoretical measures of fast ripples support the epileptic network hypothesis.

Shennan A Weiss, Tomas Pastore, Iren Orosz, Daniel Rubinstein, Richard Gorniak, Zachary Waldman, Itzhak Fried, Chengyuan Wu, Ashwini Sharan, Diego Slezak and 4 more

Open access · goldAbstract read
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.0field-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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Epileptogenicity alters intrahippocampal ripple propagation.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

14 authors at 5 institutions in 2 countries.

Shennan A WeissDepartment of Neurology, State University of New York Downstate, Brooklyn, NY 11203, USA.
Tomas PastoreDepartment of Computer Science, University of Buenos Aires, Buenos Aires, Argentina.
Iren OroszDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Daniel RubinsteinDepartment of Neurology and Neuroscience, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Richard GorniakDepartment of Neuroradiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Zachary WaldmanDepartment of Neurology and Neuroscience, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Itzhak FriedDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Chengyuan WuDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, PA 19107, USA.ORCID https://orcid.org/0000-0002-3954-2929
Ashwini SharanDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Diego SlezakDepartment of Computer Science, University of Buenos Aires, Buenos Aires, Argentina.
Gregory WorrellDepartment of Neurology, Mayo Systems Electrophysiology Laboratory (MSEL), Rochester, MN, USA.
Jerome EngelDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Michael R SperlingDepartment of Neurology and Neuroscience, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Richard J StabaDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Thomas Jefferson University · USUniversity of California, Los Angeles · USUniversidad de Buenos Aires · ARMayo Clinic in Florida · USNew York City Health and Hospitals Corporation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epileptic network hypothesis and epileptogenic zone hypothesis are two theories of ictogenesis. The network hypothesis posits that coordinated activity among interconnected nodes produces seizures. The epileptogenic zone hypothesis posits that distinct regions are necessary and sufficient for seizure generation. High-frequency oscillations, and particularly fast ripples, are thought to be biomarkers of the epileptogenic zone. We sought to test these theories by comparing high-frequency oscillation rates and networks in surgical responders and non-responders, with no appreciable change in seizure frequency or severity, within a retrospective cohort of 48 patients implanted with stereo-EEG electrodes. We recorded inter-ictal activity during non-rapid eye movement sleep and semi-automatically detected and quantified high-frequency oscillations. Each electrode contact was localized in normalized coordinates. We found that the accuracy of seizure onset zone electrode contact classification using high-frequency oscillation rates was not significantly different in surgical responders and non-responders, suggesting that in non-responders the epileptogenic zone partially encompassed the seizure onset zone(s) (

Indexed as

brain networkepilepsy surgeryfast ripplehigh-frequency oscillation

Identifiers

PMID35620169
PMCPMC9128387
OpenAlexW4226293748

What OpenQuestion holds

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LicenceCC BY
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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.