Visual Analysis of Epilepsy Diagnosis Based on Brain Functional Connections

• 作者: Yu He Yuan Yuan Yun Zhang Yuying Zhu
• 来源期刊: 生物科学与医学(英文)
• 学科: 医学
• 关键词: Primary Epilepsy FMRI Brain Network Connection Edge Binding Visualization System Diffusion Tensor Imaging
• 年，卷（期）: 2020,（8）
• 页码范围: 149-162
• 页数: 14页
• 分类号: R74

摘要

Epilepsy is a transient neurological disorder associated with changes in the functional connections of the brain. Abnormal electrical discharges can be observed during an epileptic seizure. However, in the absence of an epileptic seizure, the anatomical structure of the brain and the electrical waves of the brain are not observed, making it difficult to explain the cause. This paper deals with together weighted imaging (DWI) sequence data in functional magnetic resonance imaging (FMRI) of epileptic patients before seizure, using Anatomical Automatic Labeling (AAL) template extracted 116 brain regions and the introduction of time series, a matrix of 116 × 116. Pearson correlation coefficient was calculated to investigate the pathological condition of brain function in epilepsy patients, using of neural network visualization system of innovative visual display and compared with the normal epileptic brain function to connect the image, with 38 cases of epilepsy by 187 cases of normal DWI experiment data, and can confirm the existence of brain function in patients with epilepsy connections. Cerebral neural network visualization system showed partial functional connection loss between frontal lobe and temporal lobe in epileptic group compared with normal control group.