Disturbed functional brain networks and neurocognitive function in low-grade glioma patients: a graph theoretical analysis of resting-state MEG
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BACKGROUND: To understand neurophysiological mechanisms underlying cognitive dysfunction in low-grade glioma (LGG) patients by evaluating the spatial structure of 'resting-state' brain networks with graph theory. METHODS: Standardized tests measuring 6 neurocognitive domains were administered in 17 LGG patients and 17 healthy controls. Magnetoencephalography (MEG) recordings were conducted during eyes-closed 'resting state'. The phase lag index (PLI) was computed in seven frequency bands to assess functional connectivity between brain areas. Spatial patterns were characterized with graph theoretical measures such as clustering coefficient (local connectivity), path length (global integration), network small world-ness (ratio of clustering coefficient/path length) and degree correlation (the extent to which connected nodes have similar degrees). RESULTS: Compared to healthy controls, patients performed poorer on psychomotor functioning, attention, information processing, and working memory. Patients displayed higher short- and long-distance synchronization and clustering coefficient in the theta band, whereas a lower clustering coefficient and small world-ness were observed in the beta band. A lower degree correlation was found in the upper gamma band. LGG patients with higher clustering coefficient, longer path length, and lower degree correlations in delta and lower alpha band were characterized by poorer neurocognitive performance. CONCLUSION: LGG patients display higher short- and long-distance synchronization within the theta band. Network analysis revealed changes (in particularly the theta, beta, and upper gamma band) suggesting disturbed network architecture. Moreover, correlations between network characteristics and neurocognitive performance were found, Widespread changes in the strength and spatial organization of brain networks may be responsible for cognitive dysfunction in glioma patients.
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The degree to which network features are perturbed correlates with neuropsychological deficits, with reduced global efficiency and small-worldness correlated with lower IQ scores.
“The degree to which network features are perturbed has been correlated with neuropsychological deficits involving both local and diffuse brain regions with reduced global efficiency and small-worldness correlated with lower IQ scores.15,16,104”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [16]
The Discussion reports that, in low-grade glioma patients, longer path length, greater local clustering, and lower degree correlation were associated with poorer performance in specific neurocognitive domains. The Results report lower small-worldness in the beta band compared with controls, but neither section links small-worldness or global efficiency to IQ scores. No page numbers are available in our copy. (LLM, conf=0.89)
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- Authors
- Bosma, I., Reijneveld, J. C., Klein, M., Douw, L., van Dijk, B. W., Heimans, J. J., & Stam, C. J.
- Affiliations
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Amsterdam UMC Location University of Amsterdam (NL)
- Corresponding author
- Bosma, Ingeborg
- Venue
- Nonlinear Biomedical Physics
- Published
- 2009-08-23
- Volume
- 3
- Issue
- 1
- Pages
- 9-9
- ISSN
- 1753-4631 (ISSN-L)
- PMC
- PMC2745411
- OpenAlex
- W2162546175
- Cited by
- 139
- References
- 46
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 5 · 2023: 12 · 2022: 5 · 2021: 9 · 2020: 6 · 2019: 6 · 2018: 9 · 2017: 13 · 2016: 10 · 2015: 4 · 2014: 8 · 2013: 15 · 2012: 12
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nonlinear Biomedical Physics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- low-grade glioma, resting-state brain networks, functional connectivity, graph theory, cognitive impairment, neuropsychological performance, phase lag index, beta band, gamma band, small-world networks, clustering coefficient, path length, degree correlation, working memory, attention, psychomotor performance
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