ArticleCerebral cortex communications2020
Differential Effects of a Left Frontal Glioma on the Cortical Thickness and Complexity of Both Hemispheres.
Article in Cerebral cortex communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Diffusion tensor image analysis along the perivascular space may serve as a potential biomarker for differentiating glioma recurrence from pseudoprogression: a preliminary study.Quantitative imaging in medicine and surgery · 2026Article
- Unveiling the whole-brain impact of diffuse midline glioma: cortical morphological remodeling and network alterations driven by H3 K27 mutation.Neuroradiology · 2026Article
- The impact of glioblastoma on the contralesional hemisphere: insights from structural connectivity and cortical surface analysis.Neuroradiology · 2025Article
- Brain MRI morphometry for structural alterations in patients with glioma - A systematic review.European journal of radiology open · 2025Review
- Cortical thickness deviations as biomarker for subtyping and prognosis in pediatric brainstem tumors.Scientific reports · 2025Article
- Whole brain morphologic features improve the predictive accuracy of IDH status and VEGF expression levels in gliomas.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Altered Structural and Functional Patterns Within Executive Control Network Distinguish Frontal Glioma-Related Epilepsy.Frontiers in neuroscience · 2022Article
- Neuroplasticity of Glioma Patients: Brain Structure and Topological Network.Frontiers in neurology · 2022Review
- Structural gray matter alterations in glioblastoma and high-grade glioma-A potential biomarker of survival.Neuro-oncology advancesArticle
- Neuroanatomical profiles of cognitive phenotypes in patients with primary brain tumors.Neuro-oncology advancesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is a type of brain tumor that infiltrates and compresses the brain as it grows. Focal gliomas affect functional connectivity both in the local region of the lesion and the global network of the brain. Any anatomical changes associated with a glioma should thus be clarified. We examined the cortical structures of 15 patients with a glioma in the left lateral frontal cortex and compared them with those of 15 healthy controls by surface-based morphometry. Two regional parameters were measured with 3D-MRI: the cortical thickness (CT) and cortical fractal dimension (FD). The FD serves as an index of the topological complexity of a local cortical surface. Our comparative analyses of these parameters revealed that the left frontal gliomas had global effects on the cortical structures of both hemispheres. The structural changes in the
Indexed as
Identifiers
What OpenQuestion holds
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.