Evidence map›Paper›PMID 37354244›Full record

ArticleBrain topography2023

Comparison of Resting-State EEG Network Analyses With and Without Parallel MRI in Genetic Generalized Epilepsy.

Daniel van de Velden, Christina Stier, Raviteja Kotikalapudi, Ev-Christin Heide, David Garnica-Agudelo, Niels K Focke

Open access · hybridAbstract read
In one paragraph

Article in Brain topography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Daniel van de VeldenClinic for Neurology, University Medical Center Göttingen, 37075, Göttingen, Germany. daniel.velden@med.uni-goettingen.de.ORCID http://orcid.org/0000-0003-2834-4457
Christina StierClinic for Neurology, University Medical Center Göttingen, 37075, Göttingen, Germany.
Raviteja KotikalapudiDepartment of Neurology and Epileptology, Hertie Institute of Clinical Brain Research, University Medical Center Tübingen, University of Tübingen, 72076, Tübingen, Germany.
Ev-Christin HeideClinic for Neurology, University Medical Center Göttingen, 37075, Göttingen, Germany.
David Garnica-AgudeloClinic for Neurology, University Medical Center Göttingen, 37075, Göttingen, Germany.
Niels K FockeClinic for Neurology, University Medical Center Göttingen, 37075, Göttingen, Germany. niels.focke@med.uni-goettingen.de.ORCID http://orcid.org/0000-0001-5486-6289
Universitätsmedizin Göttingen · DEHertie Institute for Clinical Brain Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic generalized epilepsy (GGE) is conceptualized as a brain disorder involving distributed bilateral networks. To study these networks, simultaneous EEG-fMRI measurements can be used. However, inside-MRI EEG suffers from strong MR-related artifacts; it is not established whether EEG-based metrics in EEG-fMRI resting-state measurements are suitable for the analysis of group differences at source-level. We evaluated the impact of the inside-MR measurement condition on statistical group comparisons of EEG on source-level power and functional connectivity in patients with GGE versus healthy controls. We studied the cross-modal spatial relation of statistical group differences in seed-based FC derived from EEG and parallel fMRI. We found a significant increase in power and a frequency-specific change in functional connectivity for the inside MR-scanner compared to the outside MR-scanner condition. For power, we found reduced group difference between GGE and controls both in terms of statistical significance as well as effect size. Group differences for ImCoh remained similar both in terms of statistical significance as well as effect size. We found increased seed-based FC for GGE patients from the thalamus to the precuneus cortex region in fMRI, and in the theta band of simultaneous EEG. Our findings suggest that the analysis of EEG functional connectivity based on ImCoh is suitable for MR-EEG, and that relative group difference in a comparison of patients with GGE against controls are preserved. Spatial correspondence of seed-based FC group differences between the two modalities was found for the thalamus.

Indexed as

Epilepsy, GeneralizedElectroencephalographyHumansMagnetic Resonance ImagingNeural PathwaysParietal LobeBrain network connectivityfMRIGenetic generalized epilepsyHd-EEGResting-stateThalamus

Identifiers

PMID37354244
PMCPMC10415462
OpenAlexW4381855009

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LicenceCC BY
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Registered trials

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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.