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Objective <p>To 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.</p> Materials and methods <p>T1-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.</p> Results <p>Preoperatively, 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.</p> Conclusion <p>Unilateral 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.</p>

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

  • 期刊论文

  • 发表日期：

    2025年10月20日

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  • Yue Hu,
  • Xiao Liu,
  • Kun Lv,
  • Daoying Geng

摘要

Objective

To 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 methods

T1-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.

Results

Preoperatively, 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.

Conclusion

Unilateral 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.