Literature DB >> 25982500

Altered resting state functional network connectivity in children absence epilepsy.

Qifu Li1, Weifang Cao2, Xiaoping Liao1, Zhibin Chen1, Tianhua Yang3, Qiyong Gong4, Dong Zhou5, Cheng Luo6, Dezhong Yao7.   

Abstract

Altered functional connectivity has been associated with the influence of epileptic activity. Abnormalities in connectivity, particularly in dorsal attention (DAN), salience (SN) and default mode (DMN) networks, might contribute to the loss of consciousness during seizures and cognitive deficits in patients with children absence epilepsy (CAE). The objective of the present study was to identify whether the functional network connectivity (FNC) is changed between patients with CAE and healthy controls. Using independent component analysis, twelve resting state networks (RSNs) were identified in resting state functional magnetic resonance imaging data sets in eighteen CAE patients and twenty-one healthy controls. Analyses of the group differences in FNC strength were conducted, controlling for age and gender effects. The findings showed that some functional networks were clustered into two subgroups, correlated within subgroups and antagonized with each other. Compared with the controls, patients with CAE demonstrated abnormal FNC strength among three networks: DMN, DAN and SN. In addition, the antagonism of two subgroups was altered. These results might reflect the underlying neuronal functional impairment or altered integration among these RSNs in CAE, suggesting that the abnormal functional connectivity is likely to imply the pathological mechanism associated with the accumulative influence of epileptic activity. These findings contribute to the understanding of the behavior abnormality in CAE, such as disturbed executive and attentional functions and the loss of consciousness during absence seizures.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Absence epilepsy; Antagonism; Functional network connectivity; Independent component analysis; Resting state fMRI

Mesh:

Year:  2015        PMID: 25982500     DOI: 10.1016/j.jns.2015.04.054

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  26 in total

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