Magnetoencephalography, functional connectivity and neural network topology in diffuse low-grade gliomas

Linda Douw*, Jan J. Heimans, Jaap C. Reijneveld

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Diffuse low-grade glioma not only impacts structural and functional connections in its direct vicinity, but also has a profound impact on the entire brain network. Magnetoencephalography (MEG) performed during a resting, task-free state is one of the methods that can be used to study functional connectivity. Frequency-specific analysis of functional connectivity further provides information on the topology of the brain network in terms of for instance efficiency, clustering and modularity. These network features are not only altered in low-grade glioma, also correlate with cognitive (dys)functioning and with the occurrence of epileptic seizures. Better understanding of the association between the tumor and the disruption of the neural network may in the future be used for diagnostic and prognostic purposes in low-grade glioma.

Original languageEnglish
Title of host publicationDiffuse Low-Grade Gliomas in Adults
PublisherSpringer International Publishing AG
Pages411-429
Number of pages19
ISBN (Electronic)9783319554662
ISBN (Print)9783319554648
DOIs
Publication statusPublished - 3 Jul 2017

Cite this

Douw, L., Heimans, J. J., & Reijneveld, J. C. (2017). Magnetoencephalography, functional connectivity and neural network topology in diffuse low-grade gliomas. In Diffuse Low-Grade Gliomas in Adults (pp. 411-429). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-55466-2_21