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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
|
| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-025-01716-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849309714429509632 |
|---|---|
| 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. |
| format | Article |
| id | doaj-art-477e1bcd8e4540caba9f9638dbaaef7d |
| institution | Kabale University |
| issn | 1471-2342 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| 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 |
| work_keys_str_mv | AT yuehu alterationsofgraymattervolumeandstructuralcovariancenetworkinunilateralfrontallobelowgradegliomas AT jianxunxu alterationsofgraymattervolumeandstructuralcovariancenetworkinunilateralfrontallobelowgradegliomas AT jixiong alterationsofgraymattervolumeandstructuralcovariancenetworkinunilateralfrontallobelowgradegliomas AT kunlv alterationsofgraymattervolumeandstructuralcovariancenetworkinunilateralfrontallobelowgradegliomas AT daoyinggeng alterationsofgraymattervolumeandstructuralcovariancenetworkinunilateralfrontallobelowgradegliomas |