Evidence map›Paper›PMID 31595501›Full record

ReviewEpilepsia2019

Imaging biomarkers of posttraumatic epileptogenesis.

Rachael Garner, Marianna La Rocca, Paul Vespa, Nigel Jones, Martin M Monti, Arthur W Toga, Dominique Duncan

Open access · bronzeAbstract readReview
In one paragraph

Review in Epilepsia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021
    Article
  18. Article
  19. Observational
  20. 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

7 authors at 3 institutions in 2 countries.

Rachael GarnerLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Marianna La RoccaLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Paul VespaDivision of Neurosurgery, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, CA, USA.
Nigel JonesDepartment of Neuroscience, Van Cleef Centre for Nervous Diseases, Monash University, Clayton, VIC, Australia.ORCID 0000-0002-1080-8439
Martin M MontiDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, USA.
Arthur W TogaLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Dominique DuncanLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-6154-9262
University of Southern California · USUniversity of California, Los Angeles · USMonash University · AU

Funding

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Public Engagement CoreU54NS100064 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ENGEL, JEROME NONE, GALANOPOULOU, ARISTEA S · 2017 to 2021
$21.7M
Transforming Research and Clinical Knowledge in Traumatic Brain InjuryU01NS086090 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DIAZ-ARRASTIA, RAMON, GIACINO, JOSEPH THOMAS · 2013 to 2017
$19.1M
NINDS NIH HHS U01 NS086090NINDS NIH HHS U54 NS100064NINDS NIH HHS U54NS100064
6 · The paper itself

Abstract

Traumatic brain injury (TBI) affects 2.5 million people annually within the United States alone, with over 300 000 severe injuries resulting in emergency room visits and hospital admissions. Severe TBI can result in long-term disability. Posttraumatic epilepsy (PTE) is one of the most debilitating consequences of TBI, with an estimated incidence that ranges from 2% to 50% based on severity of injury. Conducting studies of PTE poses many challenges, because many subjects with TBI never develop epilepsy, and it can be more than 10 years after TBI before seizures begin. One of the unmet needs in the study of PTE is an accurate biomarker of epileptogenesis, or a panel of biomarkers, which could provide early insights into which TBI patients are most susceptible to PTE, providing an opportunity for prophylactic anticonvulsant therapy and enabling more efficient large-scale PTE studies. Several recent reviews have provided a comprehensive overview of this subject (Neurobiol Dis, 123, 2019, 3; Neurotherapeutics, 11, 2014, 231). In this review, we describe acute and chronic imaging methods that detect biomarkers for PTE and potential mechanisms of epileptogenesis. We also describe shortcomings in current acquisition methods, analysis, and interpretation that limit ongoing investigations that may be mitigated with advancements in imaging techniques and analysis.

Indexed as

AnticonvulsantsBrain Injuries, TraumaticEpilepsy, Post-TraumaticHumansMagnetic Resonance ImagingPositron-Emission TomographyTomography, X-Ray ComputedAnticonvulsantsbiomarkersimagingMRIposttraumatic epilepsytraumatic brain injury

Identifiers

PMID31595501
PMCPMC6842410
OpenAlexW2980145705

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.