Evidence map›Paper›PMID 29527470›Full record

ArticleNeuroImage. Clinical2018

Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes.

Thibault Verhoeven, Ana Coito, Gijs Plomp, Aljoscha Thomschewski, Francesca Pittau, Eugen Trinka, Roland Wiest, Karl Schaller, Christoph Michel, Margitta Seeck and 3 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05450822 (The BrainDrugs-Epilepsy Study), which is not on this map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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.

NCT05450822 recruitingnot on this mapstarted 2022, after this paper: background citation

The BrainDrugs-Epilepsy Study: A Prospective Open-label Cohort Precision Medicine Study in Epilepsy

TypeobservationalSponsorGitte Moos KnudsenRan2022 to 2031Enrolled550ConditionsEpilepsyArmsLevetiracetam, Levetiracetam Tablets, Lamotrigine tablet
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. EEG biomarker candidates for the identification of epilepsy.Clinical neurophysiology practice · 2023
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. 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

13 authors.

Thibault VerhoevenDepartment of Electronics and Information Systems, Ghent University, Ghent, Belgium. Electronic address: thibault.verhoeven@ugent.be.
Ana CoitoFunctional Brain Mapping Lab, Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland.
Gijs PlompPerceptual Networks Group, Department of Psychology, University of Fribourg, Fribourg, Switzerland.
Aljoscha ThomschewskiDepartment of Neurology, Paracelsus Medical University and Center for Cognitive Neuroscience, Salzburg, Austria.
Francesca PittauEpilepsy Unit, Neurology Clinic, University Hospital of Geneva, Geneva, Switzerland.
Eugen TrinkaDepartment of Neurology, Paracelsus Medical University and Center for Cognitive Neuroscience, Salzburg, Austria.
Roland WiestInstitute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
Karl SchallerNeurosurgery Clinic, University Hospital Geneva, Geneva, Switzerland.
Christoph MichelFunctional Brain Mapping Lab, Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland.
Margitta SeeckEpilepsy Unit, Neurology Clinic, University Hospital of Geneva, Geneva, Switzerland.
Joni DambreDepartment of Electronics and Information Systems, Ghent University, Ghent, Belgium.
Serge VulliemozEpilepsy Unit, Neurology Clinic, University Hospital of Geneva, Geneva, Switzerland.
Pieter van MierloDepartment of Electronics and Information Systems, Ghent University, Ghent, Belgium; Functional Brain Mapping Lab, Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland.

Funding

Austrian Science Fund FWF W 1233
6 · The paper itself

Abstract

Objective: To diagnose and lateralise temporal lobe epilepsy (TLE) by building a classification system that uses directed functional connectivity patterns estimated during EEG periods without visible pathological activity. Methods: Resting-state high-density EEG recording data from 20 left TLE patients, 20 right TLE patients and 35 healthy controls was used. Epochs without interictal spikes were selected. The cortical source activity was obtained for 82 regions of interest and whole-brain directed functional connectivity was estimated in the theta, alpha and beta frequency bands. These connectivity values were then used to build a classification system based on two two-class Random Forests classifiers: TLE vs healthy controls and left vs right TLE. Feature selection and classifier training were done in a leave-one-out procedure to compute the mean classification accuracy. Results: The diagnosis and lateralization classifiers achieved a high accuracy (90.7% and 90.0% respectively), sensitivity (95.0% and 90.0% respectively) and specificity (85.7% and 90.0% respectively). The most important features for diagnosis were the outflows from left and right medial temporal lobe, and for lateralization the right anterior cingulate cortex. The interaction between features was important to achieve correct classification. Significance: This is the first study to automatically diagnose and lateralise TLE based on EEG. The high accuracy achieved demonstrates the potential of directed functional connectivity estimated from EEG periods without visible pathological activity for helping in the diagnosis and lateralization of TLE.

Indexed as

Area Under CurveBrain WavesElectroencephalographyElectronic Data ProcessingEpilepsy, Temporal LobeFemaleFollow-Up StudiesFunctional LateralityHumansMachine LearningMaleRetrospective StudiesDiagnosisEEGLateralizationMachine learningTemporal lobe epilepsy

Identifiers

PMID29527470
PMCPMC5842753

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.