Contralesional Structural Plasticity in Different Molecular Pathologic Subtypes of Insular Glioma

Huang, Zhenxing; Li, Gen; Li, Zhenye; Sun, Shengjun; Zhang, Yazhou; Hou, Zhiyong; Xie, Jian

doi:10.3389/fneur.2021.636573

Cited by 12 publications

(6 citation statements)

References 45 publications

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“…The fact that slow-growing lesions lead to elevated cortical volume in the contralesional hemisphere has been reproduced multiple times [ 15 , 19 , 27 , 28 ], and has also been demonstrated in the current research ( Figure 1 ). Unlike previous studies, we also observed global and local characteristics in the contralateral structural connectivity network at the white matter level and found that GM volume and WM connectivity were consistent.…”

Section: Discussionsupporting

confidence: 82%

“…Activation of the compensation ability often alleviates original tumor-induced dysfunction [ 6 , 13 ]. Lesions or trauma can activate the brain’s structural and functional potential in its undamaged parts [ 14 ], manifested by increased cortical volume [ 15 ] and enhanced functional connectivity [ 16 ]. Previous studies have suggested that functional compensation mostly occurs in the area around the lesion [ 6 , 13 , 16 ], while more recent findings indicate that for lesions anchored in eloquent areas, the homotopic area on the opposite side of the lesion is more likely to be the area where functional compensation occurs [ 12 , 15 , 17 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…Lesions or trauma can activate the brain’s structural and functional potential in its undamaged parts [ 14 ], manifested by increased cortical volume [ 15 ] and enhanced functional connectivity [ 16 ]. Previous studies have suggested that functional compensation mostly occurs in the area around the lesion [ 6 , 13 , 16 ], while more recent findings indicate that for lesions anchored in eloquent areas, the homotopic area on the opposite side of the lesion is more likely to be the area where functional compensation occurs [ 12 , 15 , 17 , 18 , 19 , 20 ]. Thus, we propose that the severity of language impairment in patients with eloquent-area gliomas may be associated with language function compensation in the contralesional hemisphere.…”

Section: Introductionmentioning

confidence: 99%

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Contralesional Cortical and Network Features Associated with Preoperative Language Deficit in Glioma Patients

Zhou

Sun

Weng

et al. 2022

Cancers

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Lower-grade Gliomas anchored in eloquent areas cause varying degrees of language impairment. Except for a tumor’s features, contralesional compensation may explain these differences. Therefore, studying changes in the contralateral hemisphere can provide insights into the underlying mechanisms of language function compensation in patients with gliomas. This study included 60 patients with eloquent-area or near-eloquent-area gliomas. The participants were grouped according to the degree of language defect. T1 and diffusion tensor imaging were obtained. The contralesional cortical volume and the subcortical network were compared between groups. Patients with unimpaired language function showed elevated cortical volume in the midline areas of the frontal and temporal lobes. In subcortical networks, the group also had the highest global efficiency and shortest global path length. Ten nodes had intergroup differences in nodal efficiency, among which four nodes were in the motor area and four nodes were in the language area. Linear correlation was observed between the efficiency of the two nodes and the patient’s language function score. Functional compensation in the contralesional hemisphere may alleviate language deficits in patients with gliomas. Structural compensation mainly occurs in the contralesional midline area in the frontal and temporal lobes, and manifests as an increase in cortical volume and subcortical network efficiency.

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Contralesional Cortical and Network Features Associated with Preoperative Language Deficit in Glioma Patients

Zhou

Sun

Weng

et al. 2022

Cancers

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“…The cortical plasticity pattern of gliomas is hierarchical (60). This hierarchical pattern is particularly suitable for LGGs because they show the characteristics of slow growth and low invasiveness, which leaves enough time for the process of plasticity (61). It should be noted that based on the 2016 version, the 2021 version of the WHO CNS tumor classification system (Fifth Edition) further promotes the importance of molecular diagnosis in the comprehensive diagnosis of CNS tumors, which is highly correlated with tumor aggressiveness and prognosis (11,62,63).…”

Section: Dti/20 Patients and 20 Hcs/graph Theorymentioning

confidence: 99%

Neuroplasticity of Glioma Patients: Brain Structure and Topological Network

Cao

Wang

et al. 2022

Front. Neurol.

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Glioma is the most common primary malignant brain tumor in adults. It accounts for about 75% of such tumors and occurs more commonly in men. The incidence rate has been increasing in the past 30 years. Moreover, the 5-year overall survival rate of glioma patients is < 35%. Different locations, grades, and molecular characteristics of gliomas can lead to different behavioral deficits and prognosis, which are closely related to patients' quality of life and associated with neuroplasticity. Some advanced magnetic resonance imaging (MRI) technologies can explore the neuroplasticity of structural, topological, biochemical metabolism, and related mechanisms, which may contribute to the improvement of prognosis and function in glioma patients. In this review, we summarized the studies conducted on structural and topological plasticity of glioma patients through different MRI technologies and discussed future research directions. Previous studies have found that glioma itself and related functional impairments can lead to structural and topological plasticity using multimodal MRI. However, neuroplasticity caused by highly heterogeneous gliomas is not fully understood, and should be further explored through multimodal MRI. In addition, the individualized prediction of functional prognosis of glioma patients from the functional level based on machine learning (ML) is promising. These approaches and the introduction of ML can further shed light on the neuroplasticity and related mechanism of the brain, which will be helpful for management of glioma patients.

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“…Such homotopic reorganization has been reported in previous studies, eg, it has been reported that insular glioma leads to greater GMV in the contralesional insular, and that slow-growing frontal gliomas trigger overactivation in contralesional homotopic regions. 6,23 Indeed, as the key region involved in higher-order executive functions, the executive function of the brain can be affected by frontal glioma. 24 Interestingly, clinical observations indicate that patients with frontal gliomas retain intact executive function.…”

Section: Cortical Thickness Compensations In the Contralateral Hemisp...mentioning

confidence: 99%

An MRI Study Combining Virtual Brain Grafting and Surface‐Based Morphometry Analysis to Investigate Contralateral Alterations in Cortical Morphology in Patients With Diffuse Low‐Grade Glioma

Zhang

Sun

Yang

et al. 2022

Magnetic Resonance Imaging

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Background:The human brain has ability to reorganize itself in response to glioma. However, the mechanism of cortical reorganization remains unclear. Purpose: To investigate alterations in cortical thickness and local gyration index (LGI) in patients with unilateral frontal lobe diffuse low-grade glioma (DLGG). Study Type: Retrospective. Subjects: Ninety-nine patients with histopathologically proven DLGG invading the left frontal lobe (LF; N = 56) or the right frontal lobe (RF; N = 43), and healthy controls (HC; N = 53). Field Strength/Sequence: 3.0 T, 3D T1-weighted images and gadolinium enhanced T1-weighted images using magnetization-prepared rapid gradient echo sequence, T2-weighted images, and fluid-attenuated inversion recovery using turbo spin echo sequence. Assessment: In patients with DLGG, virtual brain grafting combined with Freesurfer was utilized to enable automated cortical thickness and LGI calculation. In HC, standard FreeSurfer pipeline was applied to calculate these measures. Radiomic features were extracted from glioma using Pyradiomic software. Statistical Tests: General linear model and Pearson's correlation analysis. A P value <0.05 was considered statistically significant. Results: For LF patients, there was significantly increased cortical thickness in the rostral middle frontal gyrus, significantly reduced cortical thickness in the precentral gyrus and hypogyrification in the lingual and medial orbitofrontal (MOF) gyrus in contralateral hemisphere. For RF patients, there was significantly increased cortical thickness in the middle temporal, lateral occipital extending to isthmus cingulate gyrus, significantly reduced cortical thickness in the precentral gyrus and hypogyrification in the lingual gyrus in the contralateral hemisphere. A negative association between four textural features of DLGG and LGI in the right MOF gyrus of LF group was found (r = À0.609, À0.442, À0.545, and À0.417, respectively). Data Conclusion: Cortical thickness compensation was shown in contralateral homotopic location and some distant contralateral regions. Additionally, there was decreased cortical thickness in the contralateral precentral gyrus and hypogyrification in contralateral lingual gyrus.

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Contralesional Structural Plasticity in Different Molecular Pathologic Subtypes of Insular Glioma

Cited by 12 publications

References 45 publications

Contralesional Cortical and Network Features Associated with Preoperative Language Deficit in Glioma Patients

Contralesional Cortical and Network Features Associated with Preoperative Language Deficit in Glioma Patients

Neuroplasticity of Glioma Patients: Brain Structure and Topological Network

An MRI Study Combining Virtual Brain Grafting and Surface‐Based Morphometry Analysis to Investigate Contralateral Alterations in Cortical Morphology in Patients With Diffuse Low‐Grade Glioma

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