Evidence map›Paper›PMID 38952816›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2024

Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy.

Jonathan Wirsich, Giannina Rita Iannotti, Ben Ridley, Elhum A Shamshiri, Laurent Sheybani, Frédéric Grouiller, Fabrice Bartolomei, Margitta Seeck, François Lazeyras, Jean-Philippe Ranjeva and 2 more

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

12 authors.

Jonathan WirsichEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-0588-9710
Giannina Rita IannottiEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1343-257X
Ben RidleyAix-Marseille Univ, CNRS, CRMBM 7339, Marseille, France.ORCID https://orcid.org/0000-0003-4868-6681
Elhum A ShamshiriEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-2611-3401
Laurent SheybaniEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-4824-6408
Frédéric GrouillerSwiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-3445-5831
Fabrice BartolomeiAix-Marseille Univ, INS, INSERM, UMR 1106, Marseille, France.ORCID https://orcid.org/0000-0002-1678-0297
Margitta SeeckEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-6702-0167
François LazeyrasDepartment of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-9364-0634
Jean-Philippe RanjevaAix-Marseille Univ, CNRS, CRMBM 7339, Marseille, France.ORCID https://orcid.org/0000-0001-8073-102X
Maxime GuyeAix-Marseille Univ, CNRS, CRMBM 7339, Marseille, France.ORCID https://orcid.org/0000-0002-4435-2257
Serge VulliemozEEG and Epilepsy Unit, Division of Neurology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1877-8625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-brain functional connectivity networks (connectomes) have been characterized at different scales in humans using EEG and fMRI. Multimodal epileptic networks have also been investigated, but the relationship between EEG and fMRI defined networks on a whole-brain scale is unclear. A unified multimodal connectome description, mapping healthy and pathological networks would close this knowledge gap. Here, we characterize the spatial correlation between the EEG and fMRI connectomes in right and left temporal lobe epilepsy (rTLE/lTLE). From two centers, we acquired resting-state concurrent EEG-fMRI of 35 healthy controls and 34 TLE patients. EEG-fMRI data was projected into the Desikan brain atlas, and functional connectomes from both modalities were correlated. EEG and fMRI connectomes were moderately correlated. This correlation was increased in rTLE when compared to controls for EEG-delta/theta/alpha/beta. Conversely, multimodal correlation in lTLE was decreased in respect to controls for EEG-beta. While the alteration was global in rTLE, in lTLE it was locally linked to the default mode network. The increased multimodal correlation in rTLE and decreased correlation in lTLE suggests a modality-specific lateralized differential reorganization in TLE, which needs to be considered when comparing results from different modalities. Each modality provides distinct information, highlighting the benefit of multimodal assessment in epilepsy.

Indexed as

Concurrent EEG-fMRIFunctional connectomeMultimodal data integrationResting stateTemporal lobe epilepsy

Identifiers

PMID38952816
PMCPMC11142634

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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.