Resting-State Electroencephalography Functional Connectivity Networks Relate to Pre- and Postoperative Language Functioning in Low-Grade Glioma and Meningioma Patients

Nienke Wolthuis, Djaina Satoer, Wencke Veenstra, Marion Smits, Michiel Wagemakers, Arnaud Vincent, Roelien Bastiaanse, Perumpillichira J. Cherian, Ingeborg Bosma*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
7 Downloads (Pure)

Abstract

Introduction: Preservation of language functioning in patients undergoing brain tumor surgery is essential because language impairments negatively impact the quality of life. Brain tumor patients have alterations in functional connectivity (FC), the extent to which brain areas functionally interact. We studied FC networks in relation to language functioning in glioma and meningioma patients.  

Method: Patients with a low-grade glioma (N = 15) or meningioma (N = 10) infiltrating into/pressing on the language-dominant hemisphere underwent extensive language testing before and 1 year after surgery. Resting-state EEG was registered preoperatively, postoperatively (glioma patients only), and once in healthy individuals. After analyzing FC in theta and alpha frequency bands, weighted networks and Minimum Spanning Trees were quantified by various network measures. 

Results: Pre-operative FC network characteristics did not differ between glioma patients and healthy individuals. However, hub presence and higher local and global FC are associated with poorer language functioning before surgery in glioma patients and predict worse language performance at 1 year after surgery. For meningioma patients, a greater small worldness was related to worse language performance and hub presence; better average clustering and global integration were predictive of worse outcome on language function 1 year after surgery. The average eccentricity, diameter and tree hierarchy seem to be the network metrics with the more pronounced relation to language performance. 

Discussion: In this exploratory study, we demonstrated that preoperative FC networks are informative for pre- and postoperative language functioning in glioma patients and to a lesser extent in meningioma patients.

Original languageEnglish
Article number785969
JournalFrontiers in Neuroscience
Volume15
DOIs
Publication statusPublished - 8 Dec 2021

Bibliographical note

Funding Information:
RB is partially supported by the Center for Language and Brain NRU Higher School of Economics, RF Government grant, ag. No 14.641.31.0004 and the EEG research reported was (partially) financially supported by the Dutch Aphasia Foundation (Stichting afasie Nederland).

Publisher Copyright:
Copyright © 2021 Wolthuis, Satoer, Veenstra, Smits, Wagemakers, Vincent, Bastiaanse, Cherian and Bosma.

Fingerprint

Dive into the research topics of 'Resting-State Electroencephalography Functional Connectivity Networks Relate to Pre- and Postoperative Language Functioning in Low-Grade Glioma and Meningioma Patients'. Together they form a unique fingerprint.

Cite this