Evidence map›Paper›PMID 26035674›Full record

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

Role of multiple-scale modeling of epilepsy in seizure forecasting.

Levin Kuhlmann, David B Grayden, Fabrice Wendling, Steven J Schiff

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Imaging epilepsy in larval zebrafish.European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society · 2020
    Review
  8. Review
  9. Seizure prediction - ready for a new era.Nature reviews. Neurology · 2018
    Review
  10. Seizure pathways: A model-based investigation.PLoS computational biology · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Cross-scale effects of neural interactions during human neocortical seizure activity.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Seizure Prediction 6: [LINE SEPARATOR]From Mechanisms to Engineered Interventions for Epilepsy.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2015
    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

4 authors.

Levin Kuhlmann*Neuroengineering Laboratory, Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Victoria, Australia; †Brain Dynamics Unit, Brain and Psychological Sciences Research Centre, Swinburne University of Technology, Hawthorn, Victoria, Australia; ‡Centre for Neural Engineering, The University of Melbourne, Melbourne, Victoria, Australia; §Bionics Institute, East Melbourne, Victoria, Australia; ‖St. Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; ¶INSERM, U1099, Rennes, France; #Université de Rennes, LTSI, Rennes, France; and **Departments of Engineering Science and Mechanics, Center for Neural Engineering, Neurosurgery, and Physics, The Pennsylvania State University, University Park, Pennsylvania, U.S.A.
David B Grayden
Fabrice Wendling
Steven J Schiff

Funding

CRCNS: Collaborative Research: State-Dependent Control for Brain ModulationR01EB014641 · NIBIB · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI GLUCKMAN, BRUCE J, SCHIFF, STEVEN J · 2011 to 2021
$1.6M
NIBIB NIH HHS 1R01EB014641-01NIBIB NIH HHS R01 EB014641
6 · The paper itself

Abstract

Over the past three decades, a number of seizure prediction, or forecasting, methods have been developed. Although major achievements were accomplished regarding the statistical evaluation of proposed algorithms, it is recognized that further progress is still necessary for clinical application in patients. The lack of physiological motivation can partly explain this limitation. Therefore, a natural question is raised: can computational models of epilepsy be used to improve these methods? Here, we review the literature on the multiple-scale neural modeling of epilepsy and the use of such models to infer physiologic changes underlying epilepsy and epileptic seizures. The authors argue how these methods can be applied to advance the state-of-the-art in seizure forecasting.

Indexed as

Models, NeurologicalPatient-Specific ModelingAnimalsEpilepsyForecastingHumansNerve Net

Identifiers

PMID26035674
PMCPMC4455036

What OpenQuestion holds

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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.