Computerized application for epilepsy in China: Does the era of artificial intelligence comes?

被引:3
作者
Gong, Yiwei [1 ]
Xu, Cenglin [1 ]
Wang, Shuang [2 ]
Wang, Yi [1 ]
Chen, Zhong [1 ]
机构
[1] Zhejiang Chinese Med Univ, Sch Pharmaceut Sci, Key Lab Neuropharmacol & Translat Med Zhejiang Pr, Hangzhou, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 2, Epilepsy Ctr, Sch Med, Hangzhou, Peoples R China
来源
ACTA NEUROLOGICA SCANDINAVICA | 2022年 / 146卷 / 06期
基金
中国国家自然科学基金;
关键词
artificial intelligence; computation science; epilepsy; precise medicine; INTERICTAL EPILEPTIFORM DISCHARGES; HIGH-FREQUENCY OSCILLATIONS; SEIZURE PREDICTION; EEG SPIKE; LOCALIZATION; CLASSIFICATION; SYNCHRONIZATION; DIAGNOSIS; DISORDER; NETWORKS;
D O I
10.1111/ane.13711
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Epilepsy, one of the most common neurological diseases in China, is notorious for its spontaneous, unprovoked and recurrent seizures. The etiology of epilepsy varies among individual patients, including congenital gene mutation, traumatic injury, infections, etc. This heterogeneity partly hampered the accurate diagnosis and choice of appropriate treatments. Encouragingly, great achievements have been achieved in computational science, making it become a key player in medical fields gradually and bringing new hope for rapid and accurate diagnosis as well as targeted therapies in epilepsy. Here, we historically review the advances of computerized applications in epilepsy-especially those tremendous findings achieved in China-for different purposes including seizure prediction, localization of epileptogenic zone, post-surgical prognosis, etc. Special attentions are paid to the great progress based on artificial intelligence (AI), which is more "sensitive", "smart" and "in-depth" than human capacities. At last, we give a comprehensive discussion about the disadvantages and limitations of current computerized applications for epilepsy and propose some future directions as further stepping stones to embrace "the era of AI" in epilepsy.
引用
收藏
页码:732 / 742
页数:11
相关论文
共 104 条
[1]   Seizure prediction in patients with focal hippocampal epilepsy [J].
Aarabi, Ardalan ;
He, Bin .
CLINICAL NEUROPHYSIOLOGY, 2017, 128 (07) :1299-1307
[2]   NEUROMAGNETIC LOCALIZATION OF EPILEPTIFORM SPIKE ACTIVITY IN THE HUMAN-BRAIN [J].
BARTH, DS ;
SUTHERLING, W ;
ENGEL, J ;
BEATTY, J .
SCIENCE, 1982, 218 (4575) :891-894
[3]   Network analysis for a network disorder: The emerging role of graph theory in the study of epilepsy [J].
Bernhardt, Boris C. ;
Bonilha, Leonardo ;
Gross, Donald W. .
EPILEPSY & BEHAVIOR, 2015, 50 :162-170
[4]   Dentate gyrus mossy cells control spontaneous convulsive seizures and spatial memory [J].
Bui, Anh D. ;
Nguyen, Theresa M. ;
Limouse, Charles ;
Kim, Hannah K. ;
Szabo, Gergely G. ;
Felong, Sylwia ;
Maroso, Mattia ;
Soltesz, Ivan .
SCIENCE, 2018, 359 (6377) :787-790
[5]   A disinhibitory nigra-parafascicular pathway amplifies seizure in temporal lobe epilepsy [J].
Chen, Bin ;
Xu, Cenglin ;
Wang, Yi ;
Lin, Wenkai ;
Wang, Ying ;
Chen, Liying ;
Cheng, Heming ;
Xu, Lingyu ;
Hu, Tingting ;
Zhao, Junli ;
Dong, Ping ;
Guo, Yi ;
Zhang, Shihong ;
Wang, Shuang ;
Zhou, Yudong ;
Hu, Weiwei ;
Duan, Shuming ;
Chen, Zhong .
NATURE COMMUNICATIONS, 2020, 11 (01)
[6]   MRI-negative refractory partial epilepsy: Role for diffusion tensor imaging in high field MRI [J].
Chen, Qin ;
Lui, Su ;
Li, Chun-Xiao ;
Jiang, Li-Jun ;
Luo Ou-Yang ;
Tang, He-Han ;
Shang, Hui-Fang ;
Huang, Xiao-Qi ;
Gong, Qi-Yong ;
Zhou, Dong .
EPILEPSY RESEARCH, 2008, 80 (01) :83-89
[7]   Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network [J].
Chen, Xin ;
Zheng, Yuanjie ;
Dong, Changxu ;
Song, Sutao .
FRONTIERS IN NEUROINFORMATICS, 2021, 15
[8]   Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study [J].
Cook, Mark J. ;
O'Brien, Terence J. ;
Berkovic, Samuel F. ;
Murphy, Michael ;
Morokoff, Andrew ;
Fabinyi, Gavin ;
D'Souza, Wendyl ;
Yerra, Raju ;
Archer, John ;
Litewka, Lucas ;
Hosking, Sean ;
Lightfoot, Paul ;
Ruedebusch, Vanessa ;
Sheffield, W. Douglas ;
Snyder, David ;
Leyde, Kent ;
Himes, David .
LANCET NEUROLOGY, 2013, 12 (06) :563-571
[9]   Oscillatory coupling of hippocampal pyramidal cells and interneurons in the behaving rat [J].
Csicsvari, J ;
Hirase, H ;
Czurkó, A ;
Mamiya, A ;
Buzsáki, G .
JOURNAL OF NEUROSCIENCE, 1999, 19 (01) :274-287
[10]   Brain network excitatory/inhibitory imbalance is a biomarker for drug-naive Rolandic epilepsy: A radiomics strategy [J].
Dai, Xi-Jian ;
Liu, Heng ;
Yang, Yang ;
Wang, Yongjun ;
Wan, Feng .
EPILEPSIA, 2021, 62 (10) :2426-2438