title: Disrupted functional brain connectivity in partial epilepsy: a resting-state fMRI study.
abstract: Examining the spontaneous activity to understand the neural mechanism of brain disorder is a focus in recent resting-state fMRI. In the current study, to investigate the alteration of brain functional connectivity in partial epilepsy in a systematical way, two levels of analyses (functional connectivity analysis within resting state networks (RSNs) and functional network connectivity (FNC) analysis) were carried out on resting-state fMRI data acquired from the 30 participants including 14 healthy controls(HC) and 16 partial epilepsy patients. According to the etiology, all patients are subdivided into temporal lobe epilepsy group (TLE, included 7 patients) and mixed partial epilepsy group (MPE, 9 patients). Using group independent component analysis, eight RSNs were identified, and selected to evaluate functional connectivity and FNC between groups. Compared with the controls, decreased functional connectivity within all RSNs was found in both TLE and MPE. However, dissociating patterns were observed within the 8 RSNs between two patient groups, i.e, compared with TLE, we found decreased functional connectivity in 5 RSNs increased functional connectivity in 1 RSN, and no difference in the other 2 RSNs in MPE. Furthermore, the hierarchical disconnections of FNC was found in two patient groups, in which the intra-system connections were preserved for all three subsystems while the lost connections were confined to intersystem connections in patients with partial epilepsy. These findings may suggest that decreased resting state functional connectivity and disconnection of FNC are two remarkable characteristics of partial epilepsy. The selective impairment of FNC implicated that it is unsuitable to understand the partial epilepsy only from global or local perspective. We presumed that studying epilepsy in the multi-perspective based on RSNs may be a valuable means to assess the functional changes corresponding to specific RSN and may contribute to the understanding of the neuro-pathophysiological mechanism of epilepsy.
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Luo
authors.forename: Chuan
authors.initials: C
authors.lastname: Qiu
authors.forename: Zhiwei
authors.initials: Z
authors.lastname: Guo
authors.forename: Jiajia
authors.initials: J
authors.lastname: Fang
authors.forename: Qifu
authors.initials: Q
authors.lastname: Li
authors.forename: Xu
authors.initials: X
authors.lastname: Lei
authors.forename: Yang
authors.initials: Y
authors.lastname: Xia
authors.forename: Yongxiu
authors.initials: Y
authors.lastname: Lai
authors.forename: Qiyong
authors.initials: Q
authors.lastname: Gong
authors.forename: Dong
authors.initials: D
authors.lastname: Zhou
authors.forename: Dezhong
authors.initials: D
authors.lastname: Yao
mesh_terms: D000328:Adult; D001921:Brain / Q000503:physiopathology*; D016022:Case-Control Studies; D002648:Child; D004828:Epilepsies, Partial / Q000503:physiopathology*; D004833:Epilepsy, Temporal Lobe / Q000503:physiopathology; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D009415:Nerve Net / Q000503:physiopathology*; D012146:Rest / Q000502:physiology*; D055815:Young Adult