ArticleCNS neuroscience & therapeutics2023
Altering patterns of sensorimotor network in patients with different pathological diagnoses and glioma-related epilepsy under the latest glioma classification of the central nervous system.
Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Prevalence and risk factors of early postoperative seizures in patients with glioma: a systematic review and meta-analysis.Frontiers in neurology · 2024Pooled it
- Synchronized Glioma Insights: Trends, Blood Group Correlations, Staging Dynamics, and the Vanguard of Liquid Biopsy Advancements.CNS & neurological disorders drug targets · 2025Article
- Molecular mechanisms and diagnostic model of glioma-related epilepsy.NPJ precision oncology · 2024Article
- Epilepsy alters brain networks in patients with insular glioma.CNS neuroscience & therapeutics · 2024Article
- Article
- Unexplained Causes of Glioma-Associated Epilepsies: A Review of Theories and an Area for Research.Cancers · 2023Review
- Altering patterns of sensorimotor network in patients with different pathological diagnoses and glioma-related epilepsy under the latest glioma classification of the central nervous system.CNS neuroscience & therapeutics · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsWe aimed to clarify the relationship between alterations in functional networks and glioma-related epilepsy (GRE) in patients with different molecular diagnoses.
methodsWe enrolled 160 patients with prefrontal gliomas and different histories of GRE. The patients were grouped based on the latest pathological glioma classification and GRE history. Graph theory analysis was applied to reveal alterations in the sensorimotor networks among various subgroups. Binary logistic regression was used to identify risk factors for preoperative GRE onset.
resultsDecreasing shortest path length was found in patients with GRE, regardless of the chromosome 1p/19q status. Nodes located in the premotor and supplementary motor areas showed decreased nodal betweenness centrality and vulnerability in patients with GRE and chromosome 1p/19q intact. Additionally, the node on the primary motor area showed decreased nodal vulnerability but the node on the sensory-related thalamus increased in patients with GRE and chromosome 1p/19q co-deletion. Decreased shortest path length, grade 2, and decreased nodal betweenness centrality of the premotor area were risk factors for GRE.
conclusionDecreased shortest path length was a characteristic alteration in GRE and prefrontal glioma. Alterations in global properties were similar, but nodal properties were different in patients with GRE and different chromosome 1p/19q statuses.
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