ArticleNeuroImage. Clinical2019
Resting-state functional connectivity predicts individual language impairment of patients with left hemispheric gliomas involving language network.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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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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Who cites it
28 citing papers in PubMed, 50 citations in OpenAlex.
- Precision in long-term language evaluation after awake brain tumor surgery.Neuro-oncology practice · 2026Article
- The onco-functional reorganization of language network underlying metaplasticity induced by gliomas.Frontiers in oncology · 2026Article
- Functional differentiation and interactions among inferior, medial frontal and posterior temporal cortex in semantic control.Communications biology · 2025Article
- Concurrent functional-structural reorganization in brain networks of AVM patients: a functional and structural study.Frontiers in neurology · 2025Article
- The Connectional Diaschisis and Normalization of Cortical Language Network Dynamics After Basal Ganglia and Thalamus Stroke.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Perioperative Neurocognitive Function in Glioma Surgery.Current oncology reports · 2024Review
- Structural connectome combining DTI features predicts postoperative language decline and its recovery in glioma patients.European radiology · 2024Article
- The Neurophysiological Features Associated with Unilateral Spatial Neglect Recovery: A Scoping Review.Brain topography · 2023Article
- Review
- Beyond Broca's and Wernicke's: Functional Mapping of Ancillary Language Centers Prior to Brain Tumor Surgery.Tomography (Ann Arbor, Mich.) · 2023Review
- 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
- Resting-state functional alterations in patients with brain arteriovenous malformations involving language areas.Human brain mapping · 2023Article
- Decreasing distance from tumor to the language network causes language deficit.Human brain mapping · 2023Article
- The role of epidemic spreading in seizure dynamics and epilepsy surgery.Network neuroscience (Cambridge, Mass.) · 2023Article
- Correlation between brain functional connectivity and neurocognitive function in patients with left frontal glioma.Scientific reports · 2022Article
- The Role of Extra-Operative Cortical Stimulation and Mapping in the Surgical Management of Intracranial Gliomas.Brain sciences · 2022Article
- Effects of Acupuncture-Related Therapies in the Rehabilitation of Patients with Post-Stroke Aphasia-A Network Meta-Analysis of Randomized Controlled Trials.Brain sciences · 2022Review
- Longitudinal assessment of network reorganizations and language recovery in postoperative patients with glioma.Brain communications · 2022Article
- Stable functional compensation within hippocampal-subregion networks in patients with temporal glioma before and after surgery.Frontiers in neuroscience · 2022Article
- Altered Structural and Functional Abnormalities of Hippocampus in Classical Trigeminal Neuralgia: A Combination of DTI and fMRI Study.Journal of healthcare engineering · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Language deficits following brain tumors should consider the dynamic interactions between different tumor growth kinetics and functional network reorganization. We measured the resting-state functional connectivity of 126 patients with left cerebral gliomas involving language network areas, including 77 patients with low-grade gliomas (LGG) and 49 patients with high-grade gliomas (HGG). Functional network mapping for language was performed by construction of a multivariate machine learning-based prediction model of individual aphasia quotient (AQ), a summary score that indicates overall severity of language impairment. We found that the AQ scores for HGG patients were significantly lower than those of LGG patients. The prediction accuracy of HGG patients (R
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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.