ReviewTomography (Ann Arbor, Mich.)2022
What Can Resting-State fMRI Data Analysis Explain about the Functional Brain Connectivity in Glioma Patients?
Review in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- Relationship between functional network integrity, cognition and fatigue at long-term follow-up in patients with IDH-mutated gliomas.Frontiers in human neuroscience · 2026Article
- The onco-functional reorganization of language network underlying metaplasticity induced by gliomas.Frontiers in oncology · 2026Article
- Longitudinal Cerebral Structural, Microstructural, and Functional Alterations After Brain Tumor Surgery for Early Detection of Recurrent Tumors.Biomedicines · 2025Article
- Predicting attention deficits and functional recovery after glioma resection through functional executive networks: insights from dynamic properties.Journal of neuro-oncology · 2025Article
- Reorganization of brain networks in olfactory groove meningioma patients: a pilot resting-state fMRI study.Frontiers in neurology · 2025Article
- Optimal approaches to analyzing functional MRI data in glioma patients.Journal of neuroscience methods · 2024Article
- The dynamic functional connectivity fingerprint of high-grade gliomas.Scientific reports · 2023Article
- Task-Based and Resting-State Functional MRI in Observing Eloquent Cerebral Areas Personalized for Epilepsy and Surgical Oncology Patients: A Review of the Current Evidence.Journal of personalized medicine · 2023Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resting-state functional MRI has been increasingly implemented in imaging protocols for the study of functional connectivity in glioma patients as a sequence able to capture the activity of brain networks and to investigate their properties without requiring the patients' cooperation. The present review aims at describing the most recent results obtained through the analysis of resting-state fMRI data in different contexts of interest for brain gliomas: the identification and localization of functional networks, the characterization of altered functional connectivity, and the evaluation of functional plasticity in relation to the resection of the glioma. An analysis of the literature showed that significant and promising results could be achieved through this technique in all the aspects under investigation. Nevertheless, there is room for improvement, especially in terms of stability and generalizability of the outcomes. Further research should be conducted on homogeneous samples of glioma patients and at fixed time points to reduce the considerable variability in the results obtained across and within studies. Future works should also aim at establishing robust metrics for the assessment of the disruption of functional connectivity and its recovery at the single-subject level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.