Evidence map›Paper›PMID 30564770›Full record

ArticleEpilepsia open2018

Nonictal EEG biomarkers for diagnosis and treatment.

Jerome Engel, Anatol Bragin, Richard Staba

Open access · goldAbstract read
In one paragraph

Article in Epilepsia open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. EEG biomarker candidates for the identification of epilepsy.Clinical neurophysiology practice · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Epileptic seizures.Discoveries (Craiova, Romania) · 2020
    Review
  18. Review
  19. 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

3 authors at 1 institution in 1 country.

Jerome EngelDepartment of Neurology University of California Los Angeles Los Angeles California U.S.A.
Anatol BraginDepartment of Neurology University of California Los Angeles Los Angeles California U.S.A.
Richard StabaDepartment of Neurology University of California Los Angeles Los Angeles California U.S.A.
University of California, Los Angeles · US

Funding

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Public Engagement CoreU54NS100064 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MOSHE, SOLOMON L. · 2017 to 2021
$21.7M
SYSTEMS PATHOPHYSIOLOGYP01NS002808 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAGIN, ANATOL · 1985 to 2010
$13.5M
Early Randomized Surgical Epilepsy TrialU01NS042372 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENGEL, JEROME NONE · 2002 to 2007
$9.8M
IN VIVO STUDIES OF THE EPILEPTIC HIPPOCAMPUSR01NS033310 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JEROME NONE ENGEL, Richard Staba · 1994 to 2026
$7.5M
New Electrographic Biomarkers of EpileptogenesisR01NS065877 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAGIN, ANATOL · 2010 to 2018
$4.0M
IN VIVO STUDIES OF THE EPILEPTIC HIPPOCAMPUSR37NS033310 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENGEL, JEROME NONE · 2004 to 2010
$3.2M
The Epilepsy Bioinformatics Study (EpiBioS)P20NS080181 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENGEL, JEROME NONE, HOVDA, DAVID A · 2012 to 2014
$1.7M
NINDS NIH HHS P01 NS002808NINDS NIH HHS P20 NS080181NINDS NIH HHS R01 NS033310NINDS NIH HHS R01 NS065877NINDS NIH HHS R37 NS033310NINDS NIH HHS U01 NS042372NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

There are no reliable nonictal biomarkers for epilepsy, electroencephalography (EEG) or otherwise, but efforts to identify biomarkers that would predict the development of epilepsy after a potential epileptogenic insult, diagnose the existence of epilepsy, or assess the effects of antiseizure or antiepileptogenic interventions are relying heavily on electrophysiology. The most promising EEG biomarkers to date are pathologic high-frequency oscillations (pHFOs), brief EEG events in the range of 100 to 600 Hz, which are believed to reflect summated action potentials from synchronously bursting neurons. Studies of patients with epilepsy, and experimental animal models, have been based primarily on direct brain recording, which makes pHFOs potentially useful for localizing the epileptogenic zone for surgical resection, but application for other diagnostic and therapeutic purposes is limited. Consequently, recent efforts have involved identification of HFOs recorded with scalp electrodes, and with magnetoencephalography, which may reflect the same pathophysiologic mechanisms as pHFOs recorded directly from the brain. The search is also on for other EEG changes that might serve as epilepsy biomarkers, and candidates include arcuate rhythms, which may reflect repetitive pHFOs, reduction in theta rhythm, which correlates with epileptogenesis in several rodent models of epilepsy, and shortened sleep spindles that correlate with ictogenesis.

Indexed as

BiomarkersEpilepsypHFOs

Identifiers

PMID30564770
PMCPMC6293068
OpenAlexW2807549268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.