Evidence map›Paper›PMID 26953850›Full record

ReviewCurrent opinion in neurology2016

Interictal high-frequency oscillations in focal human epilepsy.

Jan Cimbalnik, Michal T Kucewicz, Greg Worrell

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
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  13. Observational
  14. Article
  15. Article
  16. Multi-feature localization of epileptic foci from interictal, intracranial EEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Article
  17. A Magnetoencephalography Study of Pediatric Interictal Neuromagnetic Activity Changes and Brain Network Alterations Caused by Epilepsy in the High Frequency (80-1000 Hz).IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019
    Article
  18. Article
  19. Article
  20. Physiological and pathological high frequency oscillations in focal epilepsy.Annals of clinical and translational neurology · 2018
    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

3 authors at 1 institution in 2 countries.

Jan CimbalnikaMayo Systems Electrophysiology Laboratory, Department of NeurologybDepartment of Biomedical Engineering and Physiology, Mayo Clinic, Rochester, Minnesota, USAcInternational Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.
Michal T Kucewicz
Greg Worrell
Mayo Clinic · US

Funding

Reliable Seizure Prediction Using Physiological Signals and Machine LearningR01NS092882 · NINDS · MAYO CLINIC ROCHESTER · PI Gregory A Worrell · 2015 to 2026
$5.7M
Neurophysiologically Based Brain State Tracking & Modulation in Focal EpilepsyUH2NS095495 · NINDS · MAYO CLINIC ROCHESTER · PI WORRELL, GREGORY A · 2015 to 2018
$4.2M
Microseizures, Ultra-slow & High Frequency Oscillations: Biomarkers of epilepsyR01NS063039 · NINDS · MAYO CLINIC ROCHESTER · PI WORRELL, GREGORY A · 2009 to 2013
$1.5M
NINDS NIH HHS R01 NS063039NINDS NIH HHS R01-NS063039NINDS NIH HHS R01 NS092882NINDS NIH HHS R01-NS092882NINDS NIH HHS UH2 NS095495NINDS NIH HHS UH2-NS095495
6 · The paper itself

Abstract

purpose of reviewLocalization of focal epileptic brain is critical for successful epilepsy surgery and focal brain stimulation. Despite significant progress, roughly half of all patients undergoing focal surgical resection, and most patients receiving focal electrical stimulation, are not seizure free. There is intense interest in high-frequency oscillations (HFOs) recorded with intracranial electroencephalography as potential biomarkers to improve epileptogenic brain localization, resective surgery, and focal electrical stimulation. The present review examines the evidence that HFOs are clinically useful biomarkers. RECENT

findingsPerforming the PubMed search 'High-Frequency Oscillations and Epilepsy' for 2013-2015 identifies 308 articles exploring HFO characteristics, physiological significance, and potential clinical applications. SUMMARY: There is strong evidence that HFOs are spatially associated with epileptic brain. There remain, however, significant challenges for clinical translation of HFOs as epileptogenic brain biomarkers: Differentiating true HFO from the high-frequency power changes associated with increased neuronal firing and bandpass filtering sharp transients. Distinguishing pathological HFO from normal physiological HFO. Classifying tissue under individual electrodes as normal or pathological. Sharing data and algorithms so research results can be reproduced across laboratories. Multicenter prospective trials to provide definitive evidence of clinical utility.

Indexed as

Brain MappingElectric StimulationBiomarkersBrainElectroencephalographyEpilepsies, PartialHumansBiomarkers

Identifiers

PMID26953850
PMCPMC4941960
OpenAlexW2294113987

What OpenQuestion holds

Textmetadata
LicenceTDM
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.