P 21 Functional connectivity and network topology in brain tumors: A prospective, pilot-, MEG- study. (May 2022)

• Record Type: Journal Article
• Authors: Ladisich, B.; Schwartz, C.; Trinka, E.; Weisz, N.; Sherif, C.; Marhold, F.; Demarchi, G.; Rampp, S.
• Is Part Of: Clinical neurophysiology. Volume 137(2022)
• Page Start: e27
• Publication Date: 2022-05
• Subjects: Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2022.01.052
• Languages: English
• ISSNs: 1388-2457

Abstract

Abstract : Background: It has been proposed that functional connectivity (FC) and network topology (NT) are altered in patients with glial brain tumors (GBT). So far there is no consensus on the pattern of these changes, and brain metastases (BM) have not yet been investigated. Objective: We aimed to analyze preoperative FC and NT of singular, supratentorial GBTs and BMs. Methods: FC and NT derived from resting state magnetoencephalography (MEG) were compared between patients and healthy controls, and between GBTs and BMs. We investigated all patients that met the inclusion criteria from 01/19 to 03/21. Information on clinical data was collected from patients' electronic medical charts. For data analysis we used Fieldtrip, Brain Connectivity Matlab toolboxes and in-house built scripts. Results: We included 42 patients (21 male, 21 female), mean age 60, 1ys (range: 22, 6- 81, 8ys), that were operated at our institution. Of those were high grade gliomas (n=18), low grade gliomas (n=4), BM (n=14), others (n=6). Statistical analysis revealed a notheworthy decrease for mean node degree in patients in every frequency range analyzed (pα=0, 001, pβ=0, 001, pδ=0, 001, pθ=0, 001, pα=0, 001, p1-30Hz=0, 001). Concerning NT parameters we found a significant augmentation in mean clustering coefficient (p=0, 019), synchronizability (p=0, 054) and shortest path length (p=0, 007) in the theta frequency band of patients. There were no significant differences between glial brain tumors and metastases. Conclusion: Our data suggests that most topological network parameters are increased in brain tumor patients, which goes in line with previous studies. Parameterizing of neural power spectra might be helpful to further substantiate this proposition.