Evidence map›Paper›PMID 31379703›Full record

ReviewFrontiers in neurology2019

Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity.

Pieter van Mierlo, Yvonne Höller, Niels K Focke, Serge Vulliemoz

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Electroencephalography, Magnetoencephalography, and Cognitive Reserve: A Systematic Review.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2021
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Biomarkers for Epilepsy Deep Brain Stimulation.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. EEG biomarker candidates for the identification of epilepsy.Clinical neurophysiology practice · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

4 authors at 4 institutions in 4 countries.

Pieter van MierloMedical Image and Signal Processing Group, Ghent University, Ghent, Belgium.
Yvonne HöllerFaculty of Psychology, University of Akureyri, Akureyri, Iceland.
Niels K FockeClinical Neurophysiology, University Medicine Göttingen, Göttingen, Germany.
Serge VulliemozEEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland.
Ghent University · BEUniversitätsmedizin Göttingen · DEUniversity Hospital of Geneva · CHUniversity of Akureyri · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of EEG/MEG source connectivity is both, a promising, and controversial advance in the characterization of epileptic brain activity. In this narrative review we elucidate the potential of this technology to provide an intuitive view of the epileptic network at its origin, the different brain regions involved in the epilepsy, without the limitation of electrodes at the scalp level. Several studies have confirmed the added value of using source connectivity to localize the seizure onset zone and irritative zone or to quantify the propagation of epileptic activity over time. It has been shown in pilot studies that source connectivity has the potential to obtain prognostic correlates, to assist in the diagnosis of the epilepsy type even in the absence of visually noticeable epileptic activity in the EEG/MEG, and to predict treatment outcome. Nevertheless, prospective validation studies in large and heterogeneous patient cohorts are still lacking and are needed to bring these techniques into clinical use. Moreover, the methodological approach is challenging, with several poorly examined parameters that most likely impact the resulting network patterns. These fundamental challenges affect all potential applications of EEG/MEG source connectivity analysis, be it in a resting, spiking, or ictal state, and also its application to cognitive activation of the eloquent area in presurgical evaluation. However, such method can allow unique insights into physiological and pathological brain functions and have great potential in (clinical) neuroscience.

Indexed as

EEG/MEG source connectivityepilepsyinterictal epileptiform dischargesresting stateseizures

Identifiers

PMID31379703
PMCPMC6651209
OpenAlexW2950829731

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.