Evaluation Of Cognitive Function In Patients With Glioma Based On Complexity Analysis

Patients with gliomas generally have problems such as decreased cognitive function and poor prognosis,which has a great impact on the quality of life of patients.How to evaluate the patient's functional cognition before surgery and accurately and determine the impact of the tumor on important functional areas are particularly important.The emergence of functional magnetic resonance imaging(fMRI)provides a wealth of information for the diagnosis and treatment of brain tumors and the evaluation of functional cognition,and has been widely used in neurosurgical treatment.At present,most of the research on brain function cognition is to analyze the brain as a linear stochastic system.The brain acts as a complex system involving the nonlinear dynamics of the nervous system.Compared with conventional processing techniques,the complexity analysis technique analyzing the regularity of various metrics based on nonlinear time series can provide functional metabolic information closer to the activity of brain neural activity,which has the advantages of detecting brain activity and quantitative measurement of system nonlinear dynamics.This study used complexity analysis technology and brain function network analysis technology to analyze the tumor characteristics of glioma patients,locate important functional areas,and evaluate the functional cognition of tumor patients.The main research contents of the thesis are as follows:1.Research on brain function image processing based on complexity analysis.The sample entropy of brain fMRI data was calculated,and the entropy map of the whole brain sample was constructed.The activation region of the tumor patient was extracted and analyzed based on the complexity sample entropy value.It is found that the complexity analysis method can effectively extract the abnormal changes of the patient's neural activity.The whole brain average sample entropy and Hurst index of normal subjects were calculated,and the comparative analysis and linear regression curve estimation were carried out.It is found that the complexity analysis method can characterize the irregularity of brain neural activity.Based on the sample entropy activation zone distribution,the cognitive differences between men and women were analyzed,and it is found that results were consistent with the relevant research results.The results show that the complexity analysis method is feasible in the brain function image processing.2.Research on grading of glioma grade based on Hurst index.The tumor parenchyma and itscontralateral region of the tumor patient were segmented,and the corresponding regions of the normal control group were extracted.The Hurst index values ??of each region of interest were calculated.The abnormal changes of the Hurst index in the tumor region and the relationship between the Hurst index and the tumor grade were researched by comparing and analyzing the areas between tumor region and its contralateral normal region,tumor region and the same region of control group,the tumor regions of different grades.The results show that there is a positive correlation between the change of Hurst index in tumor areas and tumor grades.3.Research on brain network construction and network parameter analysis based on complexity analysis.Based on the complexity analysis technique,the resting function networks of normal subjects and patients with frontal temporal lobe glioma were constructed.The network topology properties,network global parameters and local parameters of the two groups were analyzed.The abnormal changes of network topology and network parameters in patient with gliomas were given by comparative statistical analysis.It is found that the small-world property of patients is stronger than that of normal subjects,which may be related to the existence of functional compensation in the brain.The changes of local network parameters in patients show that the tumor causes certain cognitive damage to brain regions such as the anterior motor cortex,bilateral medial and cingulate gyrus.4.Research on cognitive function assessment of patients with frontal temporal lobe glioma based on complexity analysis techniques.From the perspective of entropy calculation and analysis of whole brain samples,brain function module division and analysis,and topological attributes and network parameter analysis of brain function network,the functional cognitive impairment of glioma patients and possible compensation mechanisms were analyzed.It is found that the effects of tumor on brain cognition are mainly concentrated in tumor solid regions and surrounding important tissues,and functional compensation may exist in non-tumor regions and corresponding contralateral regions.The innovations of the thesis are as follows:1.The functional magnetic resonance data is processed and analyzed by nonlinear method,which provides support for the application of complexity analysis method in functional magnetic resonance.2.Provide theoretical support for preoperative planning and surgical navigation based on cognitive function analysis.