ArticleNonlinear biomedical physics2009
Disturbed functional brain networks and neurocognitive function in low-grade glioma patients: a graph theoretical analysis of resting-state MEG.
Article in Nonlinear biomedical physics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.
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Who cites it
63 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review.Neuropsychology review · 2022Pooled it
- Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis.Schizophrenia bulletin · 2016Pooled it
- Pooled it
- Altered Network Topology in Patients with Primary Brain Tumors After Fractionated Radiotherapy.Brain connectivity · 2017Trial
- Dynamic network structure of interhemispheric coordination.Proceedings of the National Academy of Sciences of the United States of America · 2012Trial
- Functional connectivity in electroencephalography of brain tumor patients in status epilepticus: a retrospective evaluation of prognostic value.Quantitative imaging in medicine and surgery · 2026Article
- Baseline Resting-State Network Integration Modulates Task Performance and Aftereffect.Sensors (Basel, Switzerland) · 2025Article
- Tumor resting-state fMRI connectivity to extralesional brain is associated with cognitive performance in glioma patients.Brain & spine · 2025Article
- Increased functional network segregation in glioma patients posttherapy: A neurological compensatory response or catastrophe for cognition?Network neuroscience (Cambridge, Mass.) · 2025Article
- Functional connectotomy of a whole-brain model reveals tumor-induced alterations to neuronal dynamics in glioma patients.Network neuroscience (Cambridge, Mass.) · 2025Article
- Brain network topology and its cognitive impact in adult glioma survivors.Scientific reports · 2024Article
- The relationship between pathological brain activity and functional network connectivity in glioma patients.Journal of neuro-oncology · 2024Article
- Multiscale network neuroscience in neuro-oncology: How tumors, brain networks, and behavior connect across scales.Neuro-oncology practice · 2023Review
- Molecular changes underlying decay of sensory responses and enhanced seizure propensity in peritumoral neurons.Neuro-oncology · 2023Article
- The longitudinal relation between executive functioning and multilayer network topology in glioma patients.Brain imaging and behavior · 2023Article
- Graph analysis of resting state functional brain networks and associations with cognitive outcomes in survivors of pediatric brain tumor.Neuroimage. Reports · 2023Article
- Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities.Frontiers in human neuroscience · 2023Review
- Tumor-related molecular determinants of neurocognitive deficits in patients with diffuse glioma.Neuro-oncology · 2022Article
- Do neurocognitive impairments explain the differences between brain tumor patients and their proxies when assessing the patient's IADL?Neuro-oncology practice · 2022Article
- Drinking coffee enhances neurocognitive function by reorganizing brain functional connectivity.Scientific reports · 2021Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
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Abstract
backgroundTo 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.
methodsStandardized 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).
resultsCompared 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.
conclusionLGG 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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