Evidence map›Paper›PMID 29864492›Full record

ReviewNeurobiology of disease2019

Big data sharing and analysis to advance research in post-traumatic epilepsy.

Dominique Duncan, Paul Vespa, Asla Pitkänen, Adebayo Braimah, Niina Lapinlampi, Arthur W Toga

Abstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Big data in status epilepticus.Epilepsy & behavior : E&B · 2019
    Review
  11. Review
  12. Review
  13. Article
  14. 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

6 authors.

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. Electronic address: dduncan@loni.usc.edu.
Paul VespaDivision of Neurosurgery and Department of Neurology, University of California at Los Angeles School of Medicine, Los Angeles, CA, USA.
Asla PitkänenA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Adebayo BraimahLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Niina LapinlampiA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
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.

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
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
NIBIB NIH HHS P41 EB015922NIBIB NIH HHS U54 EB020406NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

We describe the infrastructure and functionality for a centralized preclinical and clinical data repository and analytic platform to support importing heterogeneous multi-modal data, automatically and manually linking data across modalities and sites, and searching content. We have developed and applied innovative image and electrophysiology processing methods to identify candidate biomarkers from MRI, EEG, and multi-modal data. Based on heterogeneous biomarkers, we present novel analytic tools designed to study epileptogenesis in animal model and human with the goal of tracking the probability of developing epilepsy over time.

Indexed as

Big DataBiomarkersBrainBrain MappingElectroencephalographyEpilepsy, Post-TraumaticHumansImage Processing, Computer-AssistedInformation DisseminationMagnetic Resonance ImagingBiomarkersBiomarkersEEGEpilepsyEpileptogenesisInformaticsMRINeuroimagingTBI

Identifiers

PMID29864492
PMCPMC6274619

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.