title: Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy.
abstract: OBJECTIVE
  Although most studies on epilepsy have focused on the epileptogenic zone, epilepsy is a system-level disease characterized by aberrant neuronal synchronization among groups of neurons. Increasingly, studies have indicated that mesial temporal lobe epilepsy may be a network-level disease; however, few investigations have examined resting-state functional connectivity of the entire brain, particularly in patients with mesial temporal lobe epilepsy and hippocampal sclerosis. This study primarily investigated whole-brain resting-state functional connectivity abnormality in patients with mesial temporal lobe epilepsy and right hippocampal sclerosis during the interictal period.
  
  
  METHODS
  We investigated resting-state functional connectivity of 21 patients with mesial temporal lobe epilepsy with right hippocampal sclerosis and 21 neurologically healthy controls. A multivariate pattern analysis was used to identify the functional connections that most clearly differentiated patients with mesial temporal lobe epilepsy with right hippocampal sclerosis from controls.
  
  
  RESULTS
  Discriminative analysis of functional connections indicated that the patients with mesial temporal lobe epilepsy with right hippocampal sclerosis exhibited decreased resting-state functional connectivity within the right hemisphere and increased resting-state functional connectivity within the left hemisphere. Resting-state network analysis suggested that the internetwork connections typically obey the hemispheric lateralization trend and most of the functional connections that disturb the lateralization trend are the intranetwork ones.
  
  
  CONCLUSIONS
  The current findings suggest that weakening of the resting-state functional connectivity associated with the right hemisphere appears to strengthen resting-state functional connectivity on the contralateral side, which may be related to the seizure-induced damage and underlying compensatory mechanisms. Resting-state network-based analysis indicated that the compensatory mechanism among different resting-state networks may disturb the hemispheric lateralization.
authors.affiliation: From the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China Department of Information Engineering (L.S.), Officers College of Chinese Armed Police Force, Chengdu, Sichuan, China.
authors.forename: L
authors.initials: L
authors.lastname: Su
authors.affiliation: Department of Medical Imaging (J.A., S.Q.), First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
authors.forename: J
authors.initials: J
authors.lastname: An
authors.affiliation: From the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China.
authors.forename: Q
authors.initials: Q
authors.lastname: Ma
authors.affiliation: Department of Medical Imaging (J.A., S.Q.), First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China dwhu@nudt.edu.cn qiu-sj@163.com.
authors.forename: S
authors.initials: S
authors.lastname: Qiu
authors.affiliation: From the College of Mechatronics and Automation (L.S., Q.M., D.H.), National University of Defense Technology, Changsha, Hunan, People's Republic of China dwhu@nudt.edu.cn qiu-sj@163.com.
authors.forename: D
authors.initials: D
authors.lastname: Hu
mesh_terms: D000328:Adult; D001921:Brain / Q000473:pathology / Q000503:physiopathology*; D001931:Brain Mapping; D004833:Epilepsy, Temporal Lobe / Q000473:pathology / Q000503:physiopathology*; D005260:Female; D007839:Functional Laterality / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009415:Nerve Net / Q000473:pathology / Q000503:physiopathology*