Disturbed functional connectivity in brain tumour patients: Evaluation by graph analysis of synchronization matrices
Abstract
Objective Cerebral functions are based on the functional interactions between multiple distinct specialized regions of the brain. Functional interactions require anatomical connections as well as the synchronization of brain oscillations. The present work aims at evaluating the impact of brain tumours on spatial patterns of functional connectivity of the brain measured at rest by MEG. Methods We analyzed the statistical dependency (by computing the synchronization likelihood (SL, a measure of generalized synchronization)) between MEG signals at rest, in 17 patients with a brain tumour and in 15 healthy controls. Following an approach that derives from graph theory, we also analyzed the architectural properties of the networks by computing two parameters from the SL matrix, the cluster coefficient C and the characteristic path length L. Results Alterations in synchronization levels were found in the patients and were not focal but involved intra-hemispheric connectivity. Effects were different considering the frequencies sub-bands, predominating in a decrease in high frequencies bands for long-distance connections and an increase in slower bands for local connectivity. In addition, graph analysis reveals changes in the normal "small-world" network architecture in addition to changes in synchronization levels with some differences according to the studied frequency sub-bands. Conclusions Brain tumours alter the functional connectivity and the "network" architecture of the brain. These alterations are not focal and effects are different considering the frequencies sub-bands. Significance These neurophysiological changes may contribute to the cognitive alterations observed in patients with brain tumours.
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Patients with tumors in the frontal and temporal but not parietal lobes have reduced efficiency.
“Specific findings include reduced efficiency in patients with tumors in the frontal and temporal but not parietal lobes.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [8]
In patients with brain tumors, brain networks are more random and less organized, not just locally but diffusely.
“In general, brain networks in patients with tumors have been found to be more random and less organized, not just locally but in a diffuse manner.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [8]
Network hubs were reorganized in patients with brain tumors, with the right insula being a hub in controls but not in patients.
“network hubs were reorganized, with the right insula being a hub in controls but not in patients.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [8]
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References 43 · Cited by 276
- Authors
- Bartolomei, F., Bosma, I., Klein, M., Baayen, J. C., Reijneveld, J. C., Postma, T. J., Heimans, J. J., van Dijk, B. W., de Munck, J. C., de Jongh, A., Cover, K. S., & Stam, C. J.
- Affiliations
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- ORCID
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2006-09
- Volume
- 117
- Issue
- 9
- Pages
- 2039-2049
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2039031131
- Cited by
- 276
- References
- 43
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 9 · 2023: 14 · 2022: 5 · 2021: 16 · 2020: 17 · 2019: 10 · 2018: 14 · 2017: 16 · 2016: 13 · 2015: 12 · 2014: 24 · 2013: 21 · 2012: 19
- FWCI
- 6.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Epilepsy Foundation
- Stichting Epilepsie Instellingen Nederland
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- brain tumors, functional connectivity, synchronization likelihood, magnetoencephalography, graph theory, small-world networks, clustering coefficient, average path length, cognitive impairment
- MeSH terms
- Adult, Aged, Analysis of Variance, Brain Mapping, Brain Neoplasms, Cerebral Cortex, Cortical Synchronization, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Models, Neurological, Nerve Net, Neural Pathways, Magnetoencephalography
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