ArticleBrain sciences2020
Function-Based Tractography of the Language Network Correlates with Aphasia in Patients with Language-Eloquent Glioblastoma.
Article in Brain sciences, 2020. 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, 6 citations in OpenAlex.
- Next-Generation Phospholipid Nanocomplexes for Precision Neurotherapeutics: Harnessing Endogenous Blood-Brain Barrier Transport Mechanisms to Revolutionize the Treatment of Neurodegenerative Diseases.Recent advances in drug delivery and formulation · 2026Review
- The Role of Deep Cerebral Tracts in Predicting Postoperative Aphasia: An nTMS-Based Investigation of the Corticothalamic Fibers.Human brain mapping · 2025Article
- Radiologic evaluation of the uncinate fasciculus using diffusion tensor imaging and tractography: review of technical considerations and clinical implications.Polish journal of radiology · 2025Review
- The language-related cerebro-cerebellar pathway in humans: a diffusion imaging-based tractographic study.Quantitative imaging in medicine and surgery · 2023Article
- Modern Developments in Transcranial Magnetic Stimulation: The Editorial.Brain sciences · 2022Article
- Assessment of a Reliable Fractional Anisotropy Cutoff in Tractography of the Corticospinal Tract for Neurosurgical Patients.Brain sciences · 2021Article
- Middle Frontal Gyrus and Area 55b: Perioperative Mapping and Language Outcomes.Frontiers in neurology · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To date, the structural characteristics that distinguish language-involved from non-involved cortical areas are largely unclear. Particularly in patients suffering from language-eloquent brain tumors, reliable mapping of the cortico-subcortical language network is of high clinical importance to prepare and guide safe tumor resection. To investigate differences in structural characteristics between language-positive and language-negative areas, 20 patients (mean age: 63.2 ± 12.9 years, 16 males) diagnosed with language-eloquent left-hemispheric glioblastoma multiforme (GBM) underwent preoperative language mapping by navigated transcranial magnetic stimulation (nTMS) and nTMS-based diffusion tensor imaging fiber tracking (DTI FT). The number of language-positive and language-negative points as well as the gray matter intensity (GMI), normalized volumes of U-fibers, interhemispheric fibers, and fibers projecting to the cerebellum were assessed and compared between language-positive and language-negative nTMS mappings and set in correlation with aphasia grades. We found significantly lower GMI for language-positive nTMS points (5.7 ± 1.7 versus 7.1 ± 1.6,
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