MEG Node Degree for Focus Localization: Comparison with Invasive EEG

Rampp S, Kaltenhaeuser M, Müller-Voggel N, Dörfler A, Kasper BS, Hamer H, Brandner S, Buchfelder M (2023)


Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 11

Journal Issue: 2

DOI: 10.3390/biomedicines11020438

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.

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How to cite

APA:

Rampp, S., Kaltenhaeuser, M., Müller-Voggel, N., Dörfler, A., Kasper, B.S., Hamer, H.,... Buchfelder, M. (2023). MEG Node Degree for Focus Localization: Comparison with Invasive EEG. Biomedicines, 11(2). https://doi.org/10.3390/biomedicines11020438

MLA:

Rampp, Stefan, et al. "MEG Node Degree for Focus Localization: Comparison with Invasive EEG." Biomedicines 11.2 (2023).

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