ArticleJournal of neuro-oncology2024
The relationship between pathological brain activity and functional network connectivity in glioma patients.
Article in Journal of neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Predicting progression-free survival in glioblastoma with neuroimaging and machine learning.Journal of neuro-oncology · 2026Article
- Leveraging neuroscience imaging and electrophysiological assessments to decode neuron-glioma interactions.Neuro-oncology advances · 2026Review
- The influence of neuro-tumor interactions on tumorigenesis and therapeutic response.Experimental hematology & oncology · 2026Review
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- Functional connectivity in electroencephalography of brain tumor patients in status epilepticus: a retrospective evaluation of prognostic value.Quantitative imaging in medicine and surgery · 2026Article
- Postsurgical perilesional functional connectivity predicts neurological outcome in glioma patients.Frontiers in neuroscience · 2026Article
- Brain regions associated with frequent occurrences of seizures related to low-grade gliomas: a voxel-level evidence.Frontiers in human neuroscience · 2026Article
- Anterior-temporal network hyperconnectivity is key to Alzheimer's disease: from ageing to dementia.Brain : a journal of neurology · 2025Article
- Aperiodic neural dynamics define a novel signature of glioma-induced excitation-inhibition dysregulation.bioRxiv : the preprint server for biology · 2025Article
- Electrophysiology of gliomas: current science, implications, and opportunities.Frontiers in oncology · 2025Review
- Jointly estimating individual and group networks from fMRI data.Network neuroscience (Cambridge, Mass.) · 2025Article
- Multiscale network neuroscience in neuro-oncology: How tumors, brain networks, and behavior connect across scales.Neuro-oncology practice · 2023Review
- The relationship between deviant brain activity and executive functioning in glioma patients.Neuro-oncology advancesArticle
- Changes in functional connectivity are associated with functional independence in the early postoperative period following awake surgical resection of language-eloquent glioma.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeGlioma is associated with pathologically high (peri)tumoral brain activity, which relates to faster progression. Functional connectivity is disturbed locally and throughout the entire brain, associating with symptomatology. We, therefore, investigated how local activity and network measures relate to better understand how the intricate relationship between the tumor and the rest of the brain may impact disease and symptom progression.
methodsWe obtained magnetoencephalography in 84 de novo glioma patients and 61 matched healthy controls. The offset of the power spectrum, a proxy of neuronal activity, was calculated for 210 cortical regions. We calculated patients' regional deviations in delta, theta and lower alpha network connectivity as compared to controls, using two network measures: clustering coefficient (local connectivity) and eigenvector centrality (integrative connectivity). We then tested group differences in activity and connectivity between (peri)tumoral, contralateral homologue regions, and the rest of the brain. We also correlated regional offset to connectivity.
resultsAs expected, patients' (peri)tumoral activity was pathologically high, and patients showed higher clustering and lower centrality than controls. At the group-level, regionally high activity related to high clustering in controls and patients alike. However, within-patient analyses revealed negative associations between regional deviations in brain activity and clustering, such that pathologically high activity coincided with low network clustering, while regions with 'normal' activity levels showed high network clustering.
conclusionOur results indicate that pathological activity and connectivity co-localize in a complex manner in glioma. This insight is relevant to our understanding of disease progression and cognitive symptomatology.
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