The Study Of Resting State Fmri Functional Network Of Idiopathic Generalized Epilepsy

Epilepsy is one of the most common chronic neurological disorders. It is associatedwith cognitive impairments, such as attention deficit, memory impairment, andlanguage problems, that have negative effects on social life, work, or study. Idiopathicgeneralized epilepsy (IGE) is a group of epileptic disorders that does not have anyapparent cause or detectable brain lesions, and the neurological basis for its associatedcognitive impairments remains unknown.Previous resting state fMRI (functional Magnetic Resonance imaging, fMRI) studyfound that spontaneous low-frequency BOLD signal between regions was highlyrelated, and has the obvious characteristics of the network. Integrated application ofthis study, functional connectivity (FC) analysis and functional network connectivity(FNC) analysis was applied to functional brain networks in idiopathic generalizedepilepsy patients.1、Functional Connectivity: In this study, resting state fMRI data wereacquired from20IGE patients and17healthy subjects. Functional connectivity amongthe resting state network (RSNs) was examined using group independent componentanalysis (GICA). Six RSNs were identified in both the IGE and control groups,including basal ganglia network (BGN), default mode network(DMN), dorsal attentionnetwork(DAN), somatosensory network, auditory and visual network. Compared withthe healthy subjects, decreased functional connectivity appeared in four RSNs.2、Functional Network Connectivity: which studies the temporal relationships betweenICA component time courses. In this study, we computed a constrained maximal laggedcorrelation for each subject and examined the connectivity and latency among ICAcomponent time courses compared to controls. Patients showed less correlation thancontrols, and weaker correlation among some of the dominant RSNs.These results suggest that IGE could result in complex impairment of brainfunction, namely, decreased connectivity among the RSNs and weaker functionalconnectivity between some of the RSNs. These results indicated abnormal functionalintegration, which was derived from abnormal discharge or functional reorganization.This article has done a preliminary analysis of the cause of this reason, will certainly help to further understand and study the pathogenesis of epilepsy and networkcommunication mechanisms.