Seizure prediction using scalp electroencephalogram

被引:16
|
作者
Drury, I
Smith, B
Li, DZ
Savit, R
机构
[1] Diagnost Neurodynam LLC, Ann Arbor, MI 48104 USA
[2] Henry Ford Hlth Syst, Dept Neurol, Detroit, MI 48202 USA
[3] Univ Michigan, Dept Phys, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Div Biophys Res, Ann Arbor, MI 48109 USA
关键词
mesial temporal lobe epilepsy; nonlinear dynamics; seizure prediction; marginal predictability;
D O I
10.1016/S0014-4886(03)00354-6
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Using a measure of nonlinear dynamical changes we term marginal predictability, we report evidence of robust changes in this parameter on scalp EEG in a cohort of patients with medically refractory mesiobasal temporal lobe epilepsy (MBTLE). In the baseline (interictal) state there are distinct differences in this nonlinear measure between epileptic and neurologically normal subjects. At baseline, in patients with MBTLE there are differences in these measures between electrodes adjacent to the ictal onset zone and more remotely placed electrodes. The character of these differences evolves over a period of approximately 30 min before a seizure. We discuss and integrate our findings with two emerging concepts in epileptology, first, the concept of a preictal or transition phase rather than an abrupt movement from interictal to ictal activity, and second, the notion of an epileptic neural network with changes in areas of brain remote from what has traditionally been considered the ictal onset zone influencing "ictogenesis." (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:S9 / S18
页数:10
相关论文
共 50 条
  • [1] Epileptic seizure prediction using scalp electroencephalogram signals
    Usman, Syed Muhammad
    Khalid, Shehzad
    Bashir, Zafar
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2021, 41 (01) : 211 - 220
  • [2] Seizure Prediction Based on Transformer Using Scalp Electroencephalogram
    Yan, Jianzhuo
    Li, Jinnan
    Xu, Hongxia
    Yu, Yongchuan
    Xu, Tianyu
    APPLIED SCIENCES-BASEL, 2022, 12 (09):
  • [3] Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
    Nhan Duy Truong
    Anh Duy Nguyen
    Kuhlmann, Levin
    Bonyadi, Mohammad Reza
    Yang, Jiawei
    Ippolito, Samuel
    Kavehei, Omid
    NEURAL NETWORKS, 2018, 105 : 104 - 111
  • [4] Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram
    Yan, Kuiting
    Shang, Junliang
    Wang, Juan
    Xu, Jie
    Yuan, Shasha
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, ICIC 2023, PT II, 2023, 14087 : 272 - 282
  • [5] Epileptic Seizure Prediction by Using Empirical Mode Decomposition and Complexity Analysis of Single-channel Scalp Electroencephalogram
    Zhu, Tianqiao
    Huang, Liyu
    Tian, Xuzi
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4, 2009, : 606 - +
  • [6] Autoregressive features based classification for seizure detection using neural network in scalp Electroencephalogram
    Khan, Yusuf U.
    Farooq, Omar
    INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2009, 2 (04) : 370 - 381
  • [7] Semisupervised Seizure Prediction in Scalp EEG Using Consistency Regularization
    Liang, Deng
    Liu, Aiping
    Wu, Le
    Li, Chang
    Qian, Ruobing
    Ward, Rabab K.
    Chen, Xun
    JOURNAL OF HEALTHCARE ENGINEERING, 2022, 2022
  • [8] Patient-Specific Early Seizure Detection From Scalp Electroencephalogram
    Minasyan, Georgiy R.
    Chatten, John B.
    Chatten, Martha J.
    Harner, Richard N.
    JOURNAL OF CLINICAL NEUROPHYSIOLOGY, 2010, 27 (03) : 163 - 178
  • [9] An application for Electroencephalogram mining for epileptic seizure prediction
    Direito, Bruno
    Dourado, Antonio
    Sales, Francisco
    Vieira, Marco
    ADVANCES IN DATA MINING, PROCEEDINGS: MEDICAL APPLICATIONS, E-COMMERCE, MARKETING, AND THEORETICAL ASPECTS, 2008, 5077 : 87 - +
  • [10] Efficient graph convolutional networks for seizure prediction using scalp EEG
    Jia, Manhua
    Liu, Wenjian
    Duan, Junwei
    Chen, Long
    Chen, C. L. Philip
    Wang, Qun
    Zhou, Zhiguo
    FRONTIERS IN NEUROSCIENCE, 2022, 16