Evidence map›Paper›PMID 41114781›Full record

ArticleJournal of neuro-oncology2025

Dynamic reorganization of individual-level morphological networks in unilateral frontal lobe low-grade gliomas: a longitudinal study.

Yue Hu, Xiao Liu, Kun Lv, Daoying Geng

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Article in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yue Hu *Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, P. R. China.
Xiao Liu *Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, P. R. China.
Kun LvDepartment of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, P. R. China. klv20@fudan.edu.cn.
Daoying GengDepartment of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, P. R. China. gdy_2019@163.com.

Funding

National Natural Science Foundation of China 82372048Qidong-Fudan Innovative Institute of Medical Sciences KTB002Science and Technology Commission of Shanghai Municipality 22TS1400900, 23S31904100, 22ZR1409500, 24SF1904200, 24SF1904201
6 · The paper itself

Abstract

objectiveTo characterize preoperative alterations and postoperative reorganization of gray matter volume (GMV)-based individual-level morphological networks in unilateral frontal lobe low-grade gliomas (FLGGs) and evaluate clinical relevance. MATERIALS AND

methodsT1-weighted structural MRI (sMRI) data were acquired from 90 left FLGGs (LFLGGs) patients, 45 right FLGGs (RFLGGs) patients, and 30 healthy controls (HCs). Individual morphological networks were constructed by quantifying interregional GMV distribution similarity using Jensen-Shannon divergence (JSD). Graph-theoretical metrics and interregional connectivity were compared between patients and HCs and longitudinally assessed at 1 and 3 months postoperatively. Correlations between network features, Mini-Mental State Examination (MMSE), and MD Anderson Symptom Inventory for Brain Tumor (MDASI-BT) scores were evaluated.

resultsPreoperatively, unilateral FLGGs exhibited decreased network segregation and enhanced integration relative to HCs. Nodal metrics decreased in peritumoral and contralesional frontal regions but increased in temporal areas. Network-Based Statistics (NBS) revealed weakened inter-frontal connectivity and strengthened frontal-to-extra-frontal connectivity. Nodal metrics of peritumoral anterior cingulate gyrus (ACG) and contralesional superior frontal gyrus (ORBsup), along with their interconnectivity, correlated positively with MMSE and negatively with MDASI-BT scores. Postoperatively, global metrics declined transiently at 1 month but recovered by 3 months. Nodal metrics decreased acutely in periresectional regions at 1 month but showed compensatory increases in contralesional areas by 3 months. Connectivity weakened near the surgical site at 1 month but strengthened in ipsilateral distal and contralesional regions by 3 months.

conclusionUnilateral FLGGs disrupted morphological networks topology, correlating with cognitive deficits and symptom severity. Postoperative reorganization demonstrated acute surgical effects followed by compensatory neural adaptation. Individual-level morphological networks provided a clinically feasible tool for monitoring network dynamics and guiding personalized interventions.

Indexed as

Brain NeoplasmsFrontal LobeGliomaNerve NetAdultFemaleFollow-Up StudiesGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingFrontal lobe low-grade gliomasGray matter volumeLongitudinalMorphological brain networkReorganization

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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.