ArticleBrain imaging and behavior2021
Multivariate machine learning-based language mapping in glioma patients based on lesion topography.
Article in Brain imaging and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Influences on cognitive outcomes in adult patients with gliomas: A systematic review.Frontiers in oncology · 2022Pooled it
- Mapping and anatomo-surgical techniques for language preservation in brain tumours (Review).Experimental and therapeutic medicine · 2026Review
- Exploring the relationship between auditory processing characteristics and cognition in preschool children with developmental language disorder based on fNIRS.Journal of neurodevelopmental disorders · 2026Article
- How well can simple clinical features predict long-term language recovery after left-hemisphere glioma surgery?Journal of neuro-oncology · 2025Article
- Perioperative Neurocognitive Function in Glioma Surgery.Current oncology reports · 2024Review
- Emotion recognition in relation to tumor characteristics in patients with low-grade glioma.Neuro-oncology · 2024Article
- 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
- Longitudinal assessment of network reorganizations and language recovery in postoperative patients with glioma.Brain communications · 2022Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
Diffusive and progressive tumor infiltration within language-related areas of the brain induces functional reorganization. However, the macrostructural basis of subsequent language deficits is less clear. To address this issue, lesion topography data from 137 preoperative patients with left cerebral language-network gliomas (81 low-grade gliomas and 56 high-grade gliomas), were adopted for multivariate machine-learning-based lesion-language mapping analysis. We found that tumor location in the left posterior middle temporal gyrus-a bottleneck where both dorsal and ventral language pathways travel-predicted deficits of spontaneous speech (cluster size = 1356 mm
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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.