MEG Node Degree for Focus Localization: Comparison with Invasive EEG.
Stefan RamppMartin KaltenhäuserNadia Müller-VoggelArnd DoerflerBurkhard S KasperHajo M HamerSebastian BrandnerMichael BuchfelderPublished in: Biomedicines (2023)
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.
Keyphrases
- resting state
- functional connectivity
- minimally invasive
- coronary artery bypass
- temporal lobe epilepsy
- surgical site infection
- lymph node
- patients undergoing
- machine learning
- blood pressure
- percutaneous coronary intervention
- atrial fibrillation
- heart rate
- blood brain barrier
- bone marrow
- coronary artery disease
- brain injury
- mass spectrometry
- neural network
- white matter
- single molecule