Glioma is an invasive growth, easy to relapse, poor prognosis, great harm to human and society. Studies have shown that gliomas can cause the dynamic reorganization of brain functional areas, affecting the accuracy of surgical resection and the evaluation of long-term efficacy. While, it is difficult to monitor the functional reorganization of glioma in existing studies. The development trend can not effectively predict the outcome of tumor anaplasia and the compensation of brain function, which restricts the accurate tumor resection. In the early stage of this study, functional connectivity analysis was carried out of gliomas in the motor region and showed that the damage of motor functional connectivity on the opposite side of the lesion occurred earlier than that on the same side, suggesting that there may be some rules of how the disease caused functional reorganization. After stroke, the language and motor function will undergo plasticity, causing the functional areas to slowly repair the damaged function. Contrast to stroke, low-grade glioma grows slower, which gives brain more time to adapt to the damage caused by tumor growth, it may cause more functional reorganization. Professor Hugues Duffau's research showed that it is brain plasticity that can effectively explain patients with low-grade gliomas, even in language and motor areas, did not appear obvious dysfunction. Our previous research found there were significant differences in motor functional connectivity between the two hemispheres of the patients between the plasma tumor group and healthy controls. In addition, in the tumor group, the damage of motor connection on the contralateral side of the lesion occurred before on the ipsilateral side. These results suggest that brain function has been remodeled in patients with brain tumors who have not yet exhibited motor impairment. We presume there may be a certain pattern of brain function reorganization caused by low-grade glioma. This study take patients with brain glioma as the research object and adopt a multi-time point experimental design, combining with cortical electrical stimulation and multimodal magnetic resonance imaging data before and after operation, intending to observe the dynamic changes of language and motor function networks.

Glioblastoma is the most common malignant tumor of the central nervous system in adults. It is highly invasive, grows rapidly and has a poor prognosis. Brain tumors, whether benign or malignant in nature, take up space in the skull and will follow the tumor. The malignant degree of growth, so that the intracranial pressure increases, thus compression or destruction of brain tissue, leading to central nervous damage, it endangers the life of the patient.

At present, neurosurgery is still the main treatment for craniocerebral tumors. Surgical resection course degree is a determinant of patient survival. Due to individual differences and pathological changes, the effect of causing the variation of the anatomical position of brain functional areas and the generation of intraoperative brain tissue displacement all make it difficult to determine correct functional areas, which is the main reason that affects the accuracy and postoperative effect of surgery.

However, routine MRI scans have difficulty in identifying changes in adjacent functional areas caused by tumors, and is also difficult to define the boundaries of invasive neoplasms. The application of functional magnetic resonance imaging and diffusion tensor imaging enables neurosurgeons not only to be accurate positioning the functional areas, but knowing the functional areas caused by the tumor before neurosurgery, so as to maximize removing the tumor and better protecting important functional areas.

After stroke, the language and motor function will undergo plasticity, causing the language and motor areas to slowly repair the damaged brain function. Contrast to stroke, low-grade glioma grows slower, which gives brain more time to adapt to the damage caused by tumor growth, it may cause more functional reorganization. Professor Hugues Duffau's research, published in the journal Brain, also shows that it is brain plasticity that can effectively explain patients with low-grade gliomas, even in language and motor areas, did not appear obvious dysfunction. Therefore, exploring the brain functional plasticity of low-grade glioma not only facilitates the maximum resection of the tumor, but also help for prediction of postoperative of rehabilitation.

Therefore, taking the patients with brain glioma as the object in this project, combining with intraoperative cortical electrical stimulation and multiple modal magnetic resonance imaging, a multi-time longitudinal study was designed to explore the imaging features of changes in motor and language plasticity in low-grade gliomas.

All images were obtained using a GE3.0T magnetic resonance scanner. 3D-T1FSPGR（ fast spoiled gradient echo）was scanned for anatomical images, T2-weighted single-shot gradient-echo-planae-imaging sequence for functional images. Tak-based fMRI used block design mode (e.g. ABAB mode) with 30s resting state (A) and 30s hand movement task (B) alternating, the whole task process has a total of 6 resting states, 5 tasks state composition. All patients and healthy controls were instructed to repeatedly play each visual stimulus with open and close hand. All the subjects were trained on a specific exercise task before the scans, to ensure that the task is fully understood and that you are able to cooperate carefully to complete the scan. Language tasks use the block design paradigm. The equation is control-task-control last for 5min30s with 30s interval.

In this study, the subjects looked at the "+" symbol on the screen and lay quietly on the exam bed performing three language tasks. All the patients were trained to better cooperate with the subjects. To avoid head movement displacement during scanning, patients are required to speak as softly as possible that is whisper. Furthermore，derect electric stimulus was conducted in every patient. If the distance between functional areas and the positive target of electrical stimulation was less than 1cm, the results of fMRI and electrical considered were considered to be consistent. As for functional rating scale, the standard chinese version of the Quality of Life Inventory EORTC QLQ-C30 (3.0) was used to assess the preoperative quality of life of patients with brain tumors; KPS( Karnofsky Performance Status Scale）was used to evaluate physiological function; Mini-Mental State Examination (MMSE) was used for clinical screening of cognitive impairment, evaluate the patients' interpretation, spatial orientation, memory and computation, linguistic naming and reading ability.

Correlation analysis was conducted between the fMRI data processing results and functional scale score, to build the brain structure - function correlation models and explore different stages of low-grade glioma recombination mode of functional areas.

Inclusion Criteria:

• All cases underwent no treatment or surgery before examination;
• Can cooperate to complete routine MRI, fMRI, DTI, and rfMRI were required and the image quality was graded the value of analysis;
• All cases were confirmed by craniotomy and pathology;
• Right-handed;
• Mass lesion located in the left dominant hemisphere
• single lesion;
• No chronic diseases such as hypertension and diabetes

Exclusion Criteria:

• History of neurological diseases;
• Previous history of brain trauma accompanied by consciousness disorder;
• Before scanning 6, a history of long-term use of psychoactive substances such as alcohol and drug within one month;
• Obviously mentally handicapped;
• magnetic resonance (NMR) check for contraindications;
• Family history of neuropsychiatric disorders

Fifty patients with right-handed low-grade glioma who met the inclusion and exclusion criteria were included