Evidence map›Paper›PMID 26035673›Full record

ReviewJournal of clinical neurophysiology : official publication of the American Electroencephalographic Society2015

Conundrums of high-frequency oscillations (80-800 Hz) in the epileptic brain.

Liset Menendez de la Prida, Richard J Staba, Joshua A Dian

Abstract readReview
In one paragraph

Review in Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. High-frequency oscillations >250 Hz in people with Down syndrome and associated Alzheimer's disease dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Microscale dynamics of electrophysiological markers of epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Article
  9. Review
  10. Review
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Utilization of independent component analysis for accurate pathological ripple detection in intracranial EEG recordings recorded extra- and intra-operatively.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 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.

Liset Menendez de la Prida*Department of Functional and Systems Neuroscience, Instituto Cajal, CSIC, Madrid, Spain; †Departmentof Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, U.S.A.; and ‡Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
Richard J Staba
Joshua A Dian

Funding

Mapping Cortical Anatomical and Electrophysiological Abnormalities in Human MTLER01NS071048 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI STABA, RICHARD · 2011 to 2015
$1.7M
NINDS NIH HHS NS 071048NINDS NIH HHS R01 NS071048
6 · The paper itself

Abstract

Pathological high-frequency oscillations (HFOs) (80-800 Hz) are considered biomarkers of epileptogenic tissue, but the underlying complex neuronal events are not well understood. Here, we identify and discuss several outstanding issues or conundrums in regards to the recording, analysis, and interpretation of HFOs in the epileptic brain to critically highlight what is known and what is not about these enigmatic events. High-frequency oscillations reflect a range of neuronal processes contributing to overlapping frequencies from the lower 80 Hz to the very fast spectral frequency bands. Given their complex neuronal nature, HFOs are extremely sensitive to recording conditions and analytical approaches. We provide a list of recommendations that could help to obtain comparable HFO signals in clinical and basic epilepsy research. Adopting basic standards will facilitate data sharing and interpretation that collectively will aid in understanding the role of HFOs in health and disease for translational purpose.

Indexed as

AnimalsBrainElectrodesEpilepsyHumans

Identifiers

PMID26035673
PMCPMC4455041

What OpenQuestion holds

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Registered trials

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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.