机构：[a]Institute of Electrical Engineering, Yanshan University, Qinghuadao 066004, Hebei, China[b]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China[c]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China[d]Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China神经外科首都医科大学宣武医院
A maximum entropy ratio (MER) method is firstly adapted to investigate the high-dimensional Electrocorticogram (ECoG) data from epilepsy patients. MER is a symbolic analysis approach for the detection of recurrence domains of complex dynamical systems from time series. Data were chosen from eight patients undergoing pre-surgical evaluation for drug-resistant temporal lobe epilepsy. MERs for interictal and ictal data were calculated and compared. A statistical test was performed to evaluate the ability of MER to separate the interictal state from the ictal state. MER showed significant changes from the interictal state into the ictal state, where MER was low at the ictal state and is significantly different with that at the interictal state. These suggest that MER is able to separate the ictal state from the interictal state based on ECoG data. It has the potential of detecting the transition between normal brain activity and the ictal state. (C) 2015 Elsevier B.V. All rights reserved.
基金：
National Natural Science Foundation of China (61025019, 61105027, and 81341042);
Beijing Natural Science Foundation (4143063),
the Fundamental Research Funds for the Central Universities
第一作者机构：[a]Institute of Electrical Engineering, Yanshan University, Qinghuadao 066004, Hebei, China
通讯作者：
通讯机构：[b]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
推荐引用方式(GB/T 7714)：
Jiaqing Yan,Yinghua Wang,Gaoxiang Ouyang,et al.Using max entropy ratio of recurrence plot to measure electrocorticogram changes in epilepsy patients[J].PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS.2016,443:109-116.doi:10.1016/j.physa.2015.09.069.
APA：
Jiaqing Yan,Yinghua Wang,Gaoxiang Ouyang,Tao Yu&Xiaoli Li.(2016).Using max entropy ratio of recurrence plot to measure electrocorticogram changes in epilepsy patients.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,443,
MLA：
Jiaqing Yan,et al."Using max entropy ratio of recurrence plot to measure electrocorticogram changes in epilepsy patients".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 443.(2016):109-116
