title: Complex discharge-affecting networks in juvenile myoclonic epilepsy: A simultaneous EEG-fMRI study.
abstract: Juvenile myoclonic epilepsy (JME) is a common subtype of idiopathic generalized epilepsies (IGEs) and is characterized by myoclonic jerks, tonic-clonic seizures and infrequent absence seizures. The network notion has been proposed to better characterize epilepsy. However, many issues remain not fully understood in JME, such as the associations between discharge-affecting networks and the relationships among resting-state networks. In this project, eigenspace maximal information canonical correlation analysis (emiCCA) and functional network connectivity (FNC) analysis were applied to simultaneous EEG-fMRI data from JME patients. The main findings of our study are as follows: discharge-affecting networks comprising the default model (DMN), self-reference (SRN), basal ganglia (BGN) and frontal networks have linear and nonlinear relationships with epileptic discharge information in JME patients; the DMN, SRN and BGN have dense/specific associations with discharge-affecting networks as well as resting-state networks; and compared with controls, significantly increased FNCs between the salience network (SN) and resting-state networks are found in JME patients. These findings suggest that the BGN, DMN and SRN may play intermediary roles in the modulation and propagation of epileptic discharges. These roles further tend to disturb the switching function of the SN in JME patients. We also postulate that emiCCA and FNC analysis may provide a potential analysis platform to provide insights into our understanding of the pathophysiological mechanism of epilepsy subtypes such as JME. Hum Brain Mapp 37:3515-3529, 2016. © 2016 Wiley Periodicals, Inc.
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Li
authors.initials: L
authors.lastname: Dong
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Luo
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.|Department of Neurology, Chongzhou People's Hospital, Chengdu, China.
authors.forename: Yutian
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Changyue
authors.initials: C
authors.lastname: Hou
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Sisi
authors.initials: S
authors.lastname: Jiang
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.|Department of Neurology, Chongzhou People's Hospital, Chengdu, China.
authors.forename: Pu
authors.initials: P
authors.lastname: Wang
authors.affiliation: Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey.
authors.forename: Bharat B
authors.initials: BB
authors.lastname: Biswal
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Dezhong
authors.initials: D
authors.lastname: Yao
mesh_terms: D000293:Adolescent; D000328:Adult; D017668:Age of Onset; D000927:Anticonvulsants / Q000627:therapeutic use; D001921:Brain / Q000000981:diagnostic imaging / Q000503:physiopathology*; D004569:Electroencephalography; D005260:Female; D006801:Humans; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D008297:Male; D064847:Multimodal Imaging; D020190:Myoclonic Epilepsy, Juvenile / Q000000981:diagnostic imaging / Q000188:drug therapy / Q000503:physiopathology*; D009434:Neural Pathways / Q000000981:diagnostic imaging / Q000503:physiopathology; D017711:Nonlinear Dynamics; D012146:Rest; D013997:Time Factors; D055815:Young Adult
chemical_list: D000927:Anticonvulsants
keywords: EEG-fMRI; Juvenile myoclonic epilepsy; complex discharge-affecting networks; functional network connectivity; nonlinearity