ArticleFrontiers in oncology2021
The Functional Reorganization of Language Network Modules in Glioma Patients: New Insights From Resting State fMRI Study.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Structural-functional fingerprinting for abnormalities investigation in glioma patients.Scientific reports · 2025Article
- Left-hemisphere glioma drives systematic patterns of contralesional functional connectivity.Brain communications · 2025Article
- The dynamic functional connectivity fingerprint of high-grade gliomas.Scientific reports · 2023Article
- Resting-state functional alterations in patients with brain arteriovenous malformations involving language areas.Human brain mapping · 2023Article
- The impact of patient factors and tumor characteristics on language neuroplasticity in left hemispheric diffuse gliomas prior to surgical resection.Journal of neuro-oncology · 2023Article
- What Can Resting-State fMRI Data Analysis Explain about the Functional Brain Connectivity in Glioma Patients?Tomography (Ann Arbor, Mich.) · 2022Review
- Resting-State Electroencephalography Functional Connectivity Networks Relate to Pre- and Postoperative Language Functioning in Low-Grade Glioma and Meningioma Patients.Frontiers in neuroscience · 2021Article
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7 authors.
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Abstract
backgroundPrior investigations of language functions have focused on the response profiles of particular brain regions. However, the specialized and static view of language processing does not explain numerous observations of functional recovery following brain surgery. To investigate the dynamic alterations of functional connectivity (FC) within language network (LN) in glioma patients, we explored a new flexible model based on the neuroscientific hypothesis of core-periphery organization in LN.
methodsGroup-level LN mapping was determined from 109 glioma patients and forty-two healthy controls (HCs) using independent component analysis (ICA). FC and mean network connectivity (mNC: l/rFCw, FCb, and FCg) were compared between patients and HCs. Correlations between mNC and tumor volume (TV) were calculated.
resultsWe identified ten separate LN modules from ICA. Compared to HCs, glioma patients showed a significant reduction in language network functional connectivity (LNFC), with a distinct pattern modulated by tumor position. Left hemisphere gliomas had a broader impact on FC than right hemisphere gliomas, with more reduced edges away from tumor sites (
conclusionOur findings emphasize the importance of considering the modulatory effects of core-periphery mechanisms from a network perspective. Preoperative evaluation of changes in LN caused by gliomas could provide the surgeon a reference to optimize resection while maintaining functional balance.
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