Evidence map›Paper›PMID 36830974›Full record

ArticleBiomedicines2023

MEG Node Degree for Focus Localization: Comparison with Invasive EEG.

Stefan Rampp, Martin Kaltenhäuser, Nadia Müller-Voggel, Arnd Doerfler, Burkhard S Kasper, Hajo M Hamer, Sebastian Brandner, Michael Buchfelder

Abstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

8 authors.

Stefan RamppDepartment of Neurosurgery, University Hospital Erlangen, 91054 Erlangen, Germany.ORCID 0000-0002-4826-1520
Martin KaltenhäuserDepartment of Neurosurgery, University Hospital Erlangen, 91054 Erlangen, Germany.
Nadia Müller-VoggelDepartment of Neurosurgery, University Hospital Erlangen, 91054 Erlangen, Germany.
Arnd DoerflerDepartment of Neuroradiology, University Hospital Erlangen, 91054 Erlangen, Germany.
Burkhard S KasperEpilepsy Center, Department of Neurology, University Hospital Erlangen, 91054 Erlangen, Germany.
Hajo M HamerEpilepsy Center, Department of Neurology, University Hospital Erlangen, 91054 Erlangen, Germany.
Sebastian BrandnerDepartment of Neurosurgery, University Hospital Erlangen, 91054 Erlangen, Germany.
Michael BuchfelderDepartment of Neurosurgery, University Hospital Erlangen, 91054 Erlangen, Germany.

Funding

Deutsche Forschungsgemeinschaft Open Access Publication FundingUniversity of Erlangen-Nuremberg Open Access Publication Funding
6 · The paper itself

Abstract

Epilepsy surgery is a viable therapy option for patients with pharmacoresistant focal epilepsies. A prerequisite for postoperative seizure freedom is the localization of the epileptogenic zone, e.g., using electro- and magnetoencephalography (EEG/MEG). Evidence shows that resting state MEG contains subtle alterations, which may add information to the workup of epilepsy surgery. Here, we investigate node degree (ND), a graph-theoretical parameter of functional connectivity, in relation to the seizure onset zone (SOZ) determined by invasive EEG (iEEG) in a consecutive series of 50 adult patients. Resting state data were subjected to whole brain, all-to-all connectivity analysis using the imaginary part of coherence. Graphs were described using parcellated ND. SOZ localization was investigated on a lobar and sublobar level. On a lobar level, all frequency bands except alpha showed significantly higher maximal ND (mND) values inside the SOZ compared to outside (ratios 1.11-1.20, alpha 1.02). Area-under-the-curve (AUC) was 0.67-0.78 for all expected alpha (0.44, ns). On a sublobar level, mND inside the SOZ was higher for all frequency bands (1.13-1.38, AUC 0.58-0.78) except gamma (1.02). MEG ND is significantly related to SOZ in delta, theta and beta bands. ND may provide new localization tools for presurgical evaluation of epilepsy surgery.

Indexed as

connectivityepilepsyepilepsy surgeryfocus localizationgraph theoryMEG

Identifiers

PMID36830974
PMCPMC9953213

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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.