Evidence map›Paper›PMID 29883622›Full record

ReviewNeurobiology of disease2019

Electrophysiological biomarkers of epileptogenicity after traumatic brain injury.

Piero Perucca, Gregory Smith, Cesar Santana-Gomez, Anatol Bragin, Richard Staba

Open access · greenAbstract readReview
In one paragraph

Review in Neurobiology of disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. New epilepsy therapies in development.Nature reviews. Drug discovery · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Measuring the effects of sleep on epileptogenicity with multifrequency entropy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 2 countries.

Piero PeruccaDepartment of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia; Department of Neurology, Alfred Health, Melbourne, VIC, Australia; Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia. Electronic address: piero.perucca@mh.org.au.
Gregory SmithDepartment of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Cesar Santana-GomezDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Anatol BraginDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Richard StabaDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
University of California, Los Angeles · USThe Royal Melbourne Hospital · AU

Funding

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Public Engagement CoreU54NS100064 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2017 to 2021
$21.7M
NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

Post-traumatic epilepsy is the architype of acquired epilepsies, wherein a brain insult initiates an epileptogenic process culminating in an unprovoked seizure after weeks, months or years. Identifying biomarkers of such process is a prerequisite for developing and implementing targeted therapies aimed at preventing the development of epilepsy. Currently, there are no validated electrophysiological biomarkers of post-traumatic epileptogenesis. Experimental EEG studies using the lateral fluid percussion injury model have identified three candidate biomarkers of post-traumatic epileptogenesis: pathological high-frequency oscillations (HFOs, 80-300 Hz); repetitive HFOs and spikes (rHFOSs); and reduction in sleep spindle duration and dominant frequency at the transition from stage III to rapid eye movement sleep. EEG studies in humans have yielded conflicting data; recent evidence suggests that epileptiform abnormalities detected acutely after traumatic brain injury carry a significantly increased risk of subsequent epilepsy. Well-designed studies are required to validate these promising findings, and ultimately establish whether there are post-traumatic electrophysiological features which can guide the development of 'antiepileptogenic' therapies.

Indexed as

BiomarkersBrain WavesAnimalsBrainBrain Injuries, TraumaticDisease ProgressionElectrophysiological PhenomenaEpilepsy, Post-TraumaticHumansSleepBiomarkersBiomarkerEEGElectrophysiologyEpileptogenesisHigh-frequency oscillationsPost-traumatic epilepsyRepetitive HFOs and spikesSeizureSleep spindlesTraumatic brain injury

Identifiers

PMID29883622
PMCPMC6281777
OpenAlexW2805036854

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.