Evidence map›Paper›PMID 32679553›Full record

ArticleNeuroImage. Clinical2020

Abnormal directed connectivity of resting state networks in focal epilepsy.

Margherita Carboni, Pia De Stefano, Bernd J Vorderwülbecke, Sebastien Tourbier, Emeline Mullier, Maria Rubega, Shahan Momjian, Karl Schaller, Patric Hagmann, Margitta Seeck and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. EEG biomarker candidates for the identification of epilepsy.Clinical neurophysiology practice · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Default Mode Network Resting State Connectivity Derived From Task-Based fMRI: A Validation Study in People With Epilepsy.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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 at 4 institutions in 4 countries.

Margherita CarboniEEG and Epilepsy Unit, Clinical Neuroscience Department, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland; Functional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, Geneva, Switzerland. Electronic address: Margherita.carboni@unige.ch.
Pia De StefanoEEG and Epilepsy Unit, Clinical Neuroscience Department, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland.
Bernd J VorderwülbeckeEEG and Epilepsy Unit, Clinical Neuroscience Department, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland; Epilepsy-Center Berlin-Brandenburg, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Sebastien TourbierConnectomics Lab, Department of Radiology, University Hospital of Lausanne, Lausanne, Switzerland.
Emeline MullierConnectomics Lab, Department of Radiology, University Hospital of Lausanne, Lausanne, Switzerland.
Maria RubegaFunctional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, Geneva, Switzerland; Department of Neurosciences, University of Padova, Padova, Italy.
Shahan MomjianDepartment of Neurosurgery, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland.
Karl SchallerDepartment of Neurosurgery, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland.
Patric HagmannConnectomics Lab, Department of Radiology, University Hospital of Lausanne, Lausanne, Switzerland.
Margitta SeeckEEG and Epilepsy Unit, Clinical Neuroscience Department, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland.
Christoph M MichelFunctional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, Geneva, Switzerland.
Pieter van MierloMedical Image and Signal Processing Group, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium.
Serge VulliemozEEG and Epilepsy Unit, Clinical Neuroscience Department, University Hospital and Faculty of Medicine of Geneva, Geneva, Switzerland.
University Hospital of Geneva · CHUniversity Hospital of Lausanne · CHUniversity of Geneva · CHGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEpilepsy diagnosis can be difficult in the absence of interictal epileptic discharges (IED) on scalp EEG. We used high-density EEG to measure connectivity in large-scale functional networks of patients with focal epilepsy (Temporal and Extratemporal Lobe Epilepsy, TLE and ETLE) and tested for network alterations during resting wakefulness without IEDs, compared to healthy controls. We measured global efficiency as a marker of integration within networks.

methodsWe analysed 49 adult patients with focal epilepsy and 16 healthy subjects who underwent high-density-EEG and structural MRI. We estimated cortical activity using electric source analysis in 82 atlas-based cortical regions based on the individual MRI. We applied directed connectivity analysis (Partial Directed Coherence) on these sources and performed graph analysis: we computed the Global Efficiency on the whole brain and on each resting state network. We tested these features in different group of patients.

resultsCompared to controls, efficiency was increased in both TLE and ETLE (p < 0.05). The somato-motor-network, the ventral-attention-network and the default-mode-network had a significantly increased efficiency (p < 0.05) in both TLE and ETLE as well as TLE with hippocampal sclerosis. SIGNIFICANCE: During interictal scalp EEG epochs without IED, patients with focal epilepsy show brain functional connectivity alterations in the whole brain and in specific resting-state-networks. This higher integration reflects a chronic effect of pathological activity within these structures and complement previous work on altered information outflow. These findings could increase the diagnostic sensitivity of scalp EEG to identify epileptic activity in the absence of IED.

Indexed as

Epilepsies, PartialEpilepsy, Temporal LobeAdultBrainBrain MappingElectroencephalographyHumansMagnetic Resonance ImagingConnectivityEpilepsyGlobal EfficiencyNetwork integrationResting State

Identifiers

PMID32679553
PMCPMC7363703
OpenAlexW3040915328

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.