Disturbed Small-World Networks and Neurocognitive Function in Frontal Lobe Low-Grade Glioma Patients
Open accessAbstract
BACKGROUND: Brain tumor patients often associated with losses of the small-world configuration and neurocognitive functions before operations. However, few studies were performed on the impairments of frontal lobe low-grade gliomas (LGG) after tumor resection using small-world network features. METHODOLOGY/PRINCIPAL FINDINGS: To detect differences in the whole brain topology among LGG patients before and after operation, a combined study of neurocognitive assessment and graph theoretical network analysis of fMRI data was performed. We collected resting-state fMRI data of 12 carefully selected frontal lobe LGG patients before and after operation. We calculated the topological properties of brain functional networks in the 12 LGG, and compared with 12 healthy controls (HCs). We also applied Montreal Cognitive Assessment (MoCA) in a subset of patients (n = 12, including before and after operation groups) and HCs (n = 12). The resulting functional connectivity matrices were constructed for all 12 patients, and binary network analysis was performed. In the range of 0.05 ≤ Kcos t ≤ 0.35, the functional networks in preoperative LGG and postoperative one both fitted the definition of small-worldness. We proposed Knet = 0.20 as small-world network interval, and the results showed that the topological properties were found to be disrupted in the two LGG groups, meanwhile the global efficiency increased and the local efficiency decreased. Lnet in the two LGG groups both were longer than HCs. Cnet in the LGG groups were smaller than HCs. Compared with the Hcs, MoCA in the two LGG groups were lower than HCs with significant difference, and the disturbed networks in the LGG were negatively related to worse MoCA scores. CONCLUSIONS: Disturbed small-worldness preperty in the two LGG groups was found and widely spread in the strength and spatial organization of brain networks, and the alterated small-world network may be responsible for cognitive dysfunction in frontal lobe LGG patients.
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Networks are restored to a more organized state after surgery from a more disorganized preoperative state.
“Networks have been found to be restored to a more organized state after surgery from a more disorganized preoperative state.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [51]
The Results (Altered Topological Properties of Small-world Networks in LGG Subjects; page unavailable) report no significant preoperative–postoperative difference in network parameters and say the preoperative group had a shorter path length, closer to healthy controls. The Methodology/Principal Findings likewise describe disrupted topology in both groups. The paper therefore does not find that surgery restored a more organized network. (LLM, conf=0.84)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn participants with frontal lobe tumor, local efficiency was reduced, global efficiency increased, and clustering reduced.
“A focused analysis including exclusively participants with frontal lobe tumor confirmed reduced local efficiency but increased global efficiency, as well as reduced clustering.51”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [51]
The Results and Discussion describe reduced local efficiency and clustering in the frontal-lobe low-grade glioma groups compared with healthy controls. But the Discussion explicitly reports lower, not increased, global efficiency in those groups. No page numbers are available in our copy. (LLM, conf=0.89)
Experimental — accuracy not yet measured
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Krijnen, E. A., van Kessel, E., Mühlebner, A., van Kempen, S., Hecke, W. V., van Zandvoort, M. J. E., Robe, P. A. J. T., & Snijders, T. J. (2026) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdag123
- Authors
- Huang, Q., Zhang, R., Hu, X., Ding, S., Qian, J., Lei, T., Cao, X., Tao, L., Qian, Z., & Liu, H.
- Affiliations
- Nanjing Brain Hospital (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
- University of Florida (US)
- Corresponding author
- Qian, Zhiyu
- Liu, Hongyi
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-04-08
- Volume
- 9
- Issue
- 4
- Pages
- e94095
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3979755
- OpenAlex
- W2049279611
- Cited by
- 55
- References
- 37
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 7 · 2023: 3 · 2022: 8 · 2021: 6 · 2020: 7 · 2018: 4 · 2017: 3 · 2016: 6 · 2015: 4
- FWCI
- 2.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Government of Jiangsu Province
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Keywords
- small-world networks, brain network topology, functional connectivity, global efficiency, local efficiency, cognitive impairment, Montreal Cognitive Assessment, brain tumor surgery, resting-state fMRI, graph theory
- MeSH terms
- Adult, Brain Mapping, Brain Neoplasms, Cognition, Female, Frontal Lobe, Glioma, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Models, Neurological, Nerve Net, Neuropsychological Tests
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