ArticleBrain structure & function2022
Assessment of structural disconnections in gliomas: comparison of indirect and direct approaches.
Article in Brain structure & function, 2022. 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.
- Image-based Re-evaluation of the JCOG0911 Study Focusing on Tumor Volume and Survival, Disease Progression Diagnosis, and Radiomic Prognostication for Newly Diagnosed Glioblastoma.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Trial
- Cognitive Impairment in Patients with Glioma: Mechanisms, Assessment, and Emerging Therapeutic Strategies.Cancers · 2026Review
- Convergent causal mapping unravels distinct frontal networks for visuospatial selective attention.Nature communications · 2025Article
- Structural-functional fingerprinting for abnormalities investigation in glioma patients.Scientific reports · 2025Article
- Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography.Human brain mapping · 2023Article
- Longitudinal prediction of motor dysfunction after stroke: a disconnectome study.Brain structure & function · 2022Article
- Brain disconnections refine the relationship between brain structure and function.Brain structure & function · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
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Abstract
Gliomas are amongst the most common primary brain tumours in adults and are often associated with poor prognosis. Understanding the extent of white matter (WM) which is affected outside the tumoral lesion may be of paramount importance to explain cognitive deficits and the clinical progression of the disease. To this end, we explored both direct (i.e., tractography based) and indirect (i.e., atlas-based) approaches to quantifying WM structural disconnections in a cohort of 44 high- and low-grade glioma patients. While these methodologies have recently gained popularity in the context of stroke and other pathologies, to our knowledge, this is the first time they are applied in patients with brain tumours. More specifically, in this work, we present a quantitative comparison of the disconnection maps provided by the two methodologies by applying well-known metrics of spatial similarity, extension, and correlation. Given the important role the oedematous tissue plays in the physiopathology of tumours, we performed these analyses both by including and excluding it in the definition of the tumoral lesion. This was done to investigate possible differences determined by this choice. We found that direct and indirect approaches offer two distinct pictures of structural disconnections in patients affected by brain gliomas, presenting key differences in several regions of the brain. Following the outcomes of our analysis, we eventually discuss the strengths and pitfalls of these two approaches when applied in this critical field.
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