Evidence map›Paper›PMID 22934035›Full record

ArticleFrontiers in physiology2012

The importance of modeling epileptic seizure dynamics as spatio-temporal patterns.

Gerold Baier, Marc Goodfellow, Peter N Taylor, Yujiang Wang, Daniel J Garry

Abstract read
In one paragraph

Article in Frontiers in physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Editorial: Reviews in networks in the brain system.Frontiers in network physiology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Seizure prediction - ready for a new era.Nature reviews. Neurology · 2018
    Review
  18. Article
  19. Network dynamics in the healthy and epileptic developing brain.Network neuroscience (Cambridge, Mass.) · 2018
    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.

Gerold BaierDTC Integrative Systems Biology, Manchester Interdisciplinary Biocentre, The University of Manchester Manchester, UK.
Marc Goodfellow
Peter N Taylor
Yujiang Wang
Daniel J Garry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The occurrence of seizures is the common feature across the spectrum of epileptic disorders. We describe how the use of mechanistic neural population models leads to novel insight into the dynamic mechanisms underlying two important types of epileptic seizures. We specifically stress the need for a spatio-temporal description of the rhythms to deal with the complexity of the pathophenotype. Adapted to functional and structural patient data, the macroscopic models may allow a patient-specific description of seizures and prediction of treatment outcome.

Indexed as

computational modelingelectroencephalogram (EEG)epilepsyheterogeneityspatio-temporal patterns

Identifiers

PMID22934035
PMCPMC3429055

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.