Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas

Abstract Purpose To explore the alterations of gray matter volume (GMV) and structural covariant network (SCN) in unilateral frontal lobe low-grade gliomas (FLGGs). Materials and methods The three dimensional (3D) T1 structural images of 117 patients with unilateral FLGGs and 68 age- and sex-matched...

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Main Authors: Yue Hu, Jianxun Xu, Ji Xiong, Kun Lv, Daoying Geng
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Imaging
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Online Access:https://doi.org/10.1186/s12880-025-01716-y
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author Yue Hu
Jianxun Xu
Ji Xiong
Kun Lv
Daoying Geng
author_facet Yue Hu
Jianxun Xu
Ji Xiong
Kun Lv
Daoying Geng
author_sort Yue Hu
collection DOAJ
description Abstract Purpose To explore the alterations of gray matter volume (GMV) and structural covariant network (SCN) in unilateral frontal lobe low-grade gliomas (FLGGs). Materials and methods The three dimensional (3D) T1 structural images of 117 patients with unilateral FLGGs and 68 age- and sex-matched healthy controls (HCs) were enrolled. The voxel-based morphometry (VBM) analysis and graph theoretical analysis of SCN were conducted to investigate the impact of unilateral FLGGs on the brain structure. This represents the first structural MRI study integrating both voxel-level morphometric changes and network-level reorganization patterns in unilateral FLGGs. Results Through VBM analysis, we found that unilateral FLGGs can cause increased GMV in contralesional amygdala, calcarine, and angular gyrus, ipsilesional amygdala as well as vermis_6. The SCN of contralesional cerebrum, ipsilesional unaffected regions and cerebellum in both patients and HCs have typical small-world properties (Sigma > 1, Lambda ≈ 1 and Gamma > 1). Compared to HCs, global and nodal network metrics changed significantly in patients. Conclusion The combination of VBM and SCN analysis revealed both focal GMV enlargement and topological alterations in patients with unilateral FLGGs, and provide a novel perspective of cross regional morphological collaborative changes for understanding the glioma-related neuroadaptation. These findings may suggest potential neuroimaging correlates of adaptive changes, which could inform future investigations into personalized treatment approaches. Clinical trial number Not applicable.
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institution Kabale University
issn 1471-2342
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publishDate 2025-05-01
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series BMC Medical Imaging
spelling doaj-art-477e1bcd8e4540caba9f9638dbaaef7d2025-08-20T03:53:58ZengBMCBMC Medical Imaging1471-23422025-05-0125111310.1186/s12880-025-01716-yAlterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomasYue Hu0Jianxun Xu1Ji Xiong2Kun Lv3Daoying Geng4Department of Radiology, Huashan Hospital, Fudan UniversityNantong UniversityDepartment of Pathology, Huashan Hospital, Fudan UniversityDepartment of Radiology, Huashan Hospital, Fudan UniversityDepartment of Radiology, Huashan Hospital, Fudan UniversityAbstract Purpose To explore the alterations of gray matter volume (GMV) and structural covariant network (SCN) in unilateral frontal lobe low-grade gliomas (FLGGs). Materials and methods The three dimensional (3D) T1 structural images of 117 patients with unilateral FLGGs and 68 age- and sex-matched healthy controls (HCs) were enrolled. The voxel-based morphometry (VBM) analysis and graph theoretical analysis of SCN were conducted to investigate the impact of unilateral FLGGs on the brain structure. This represents the first structural MRI study integrating both voxel-level morphometric changes and network-level reorganization patterns in unilateral FLGGs. Results Through VBM analysis, we found that unilateral FLGGs can cause increased GMV in contralesional amygdala, calcarine, and angular gyrus, ipsilesional amygdala as well as vermis_6. The SCN of contralesional cerebrum, ipsilesional unaffected regions and cerebellum in both patients and HCs have typical small-world properties (Sigma > 1, Lambda ≈ 1 and Gamma > 1). Compared to HCs, global and nodal network metrics changed significantly in patients. Conclusion The combination of VBM and SCN analysis revealed both focal GMV enlargement and topological alterations in patients with unilateral FLGGs, and provide a novel perspective of cross regional morphological collaborative changes for understanding the glioma-related neuroadaptation. These findings may suggest potential neuroimaging correlates of adaptive changes, which could inform future investigations into personalized treatment approaches. Clinical trial number Not applicable.https://doi.org/10.1186/s12880-025-01716-yFrontal lobeLow-grade gliomasGray matter volumeGraph theoretical analysisStructural covariance network
spellingShingle Yue Hu
Jianxun Xu
Ji Xiong
Kun Lv
Daoying Geng
Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas
BMC Medical Imaging
Frontal lobe
Low-grade gliomas
Gray matter volume
Graph theoretical analysis
Structural covariance network
title Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas
title_full Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas
title_fullStr Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas
title_full_unstemmed Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas
title_short Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas
title_sort alterations of gray matter volume and structural covariance network in unilateral frontal lobe low grade gliomas
topic Frontal lobe
Low-grade gliomas
Gray matter volume
Graph theoretical analysis
Structural covariance network
url https://doi.org/10.1186/s12880-025-01716-y
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