Author(s)

Yuan Yuan¹, Yuying Zhu^2*, Yu He³, Yun Zhang³

¹College of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China.
²College of Information Engineering, Southwest University of Science and Technology, Mianyang, China.
³Sichuan Mianyang Central Hospital, Mianyang, China.

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.

Primary Epilepsy, FMRI, Brain Network Connection, Edge Binding, Visualization System, Diffusion Tensor Imaging

Yuan, Y. , Zhu, Y. , He, Y. and Zhang, Y. (2020) Visual Analysis of Epilepsy Diagnosis Based on Brain Functional Connections. Journal of Biosciences and Medicines, 8, 149-162. doi: 10.4236/jbm.2020.88014.