Literature DB >> 29956102

Abnormal dynamics of functional connectivity density in children with benign epilepsy with centrotemporal spikes.

Rong Li1, Liangcheng Wang1, Heng Chen1, Xiaonan Guo1, Wei Liao1, Ye-Lei Tang2, Huafu Chen3.   

Abstract

Converging evidence has shown the link between benign epilepsy with centrotemporal spikes (BECTS) and abnormal functional connectivity among distant brain regions. However, prior research in BECTS has not examined the dynamic changes in functional connectivity as networks form. We combined functional connectivity density (FCD) mapping and sliding windows correlation analyses, to fully capture the functional dynamics in patients with respect to the presence of interictal epileptic discharges (IEDs). Resting-state fMRI was performed in 43 BECTS patients and 28 healthy controls (HC). Patients were further classified into two subgroups, namely, IED (n = 20) and non-IED (n = 23) depending on the simultaneous EEG-fMRI recordings. The global dynamic FCD (dFCD) was measured using sliding window correlation. Then we quantified dFCD variability using their standard deviation. Compared with HC, patients with and without IEDs both showed invariable dFCD (decreased) among the orbital fontal cortex, anterior cingulate cortex and striatum, as well as variable dFCD (increased) in the posterior default mode network (P < 0.05, AlphaSim corrected). Correlation analysis indicated that the variable dFCD in precuneus was related to seizure onset age (P < 0.05, uncorrected). BECTS with IEDs showed variable dFCD in regions related to the typical seizure semiology. The abnormal patterns of fluctuating FCD in BECTS suggest that both active and chronic epileptic state may contribute to altered dynamics of functional connectivity associated with cognitive disturbances and developmental alterations. These findings highlight the importance of considering fluctuating dynamic neural communication among brain systems to deepen our understanding of epilepsy diseases.

Entities:  

Keywords:  BECTS; Dynamic functional connectivity density; IEDs; Resting-state fMRI; Variability

Mesh:

Year:  2019        PMID: 29956102     DOI: 10.1007/s11682-018-9914-0

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  14 in total

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Authors:  Joshua J Bear; Kevin E Chapman; Jason R Tregellas
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Review 5.  The Role of EEG-fMRI in Studying Cognitive Network Alterations in Epilepsy.

Authors:  Elhum A Shamshiri; Laurent Sheybani; Serge Vulliemoz
Journal:  Front Neurol       Date:  2019-09-24       Impact factor: 4.003

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Authors:  Xiaonan Guo; Xujun Duan; Heng Chen; Changchun He; Jinming Xiao; Shaoqiang Han; Yun-Shuang Fan; Jing Guo; Huafu Chen
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7.  Frequency-specific changes in the default mode network in patients with cingulate gyrus epilepsy.

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Journal:  Hum Brain Mapp       Date:  2020-02-25       Impact factor: 5.038

8.  BECTS Substate Classification by Granger Causality Density Based Support Vector Machine Model.

Authors:  Xi-Jian Dai; Qiang Xu; Jianping Hu; QiRui Zhang; Yin Xu; Zhiqiang Zhang; Guangming Lu
Journal:  Front Neurol       Date:  2019-11-14       Impact factor: 4.003

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Authors:  Zhe Zhang; Guangyao Liu; Weihao Zheng; Jie Shi; Hong Liu; Yu Sun
Journal:  Neuroimage Clin       Date:  2020-09-11       Impact factor: 4.881

10.  Continuous epileptic negative myoclonus as the first seizure type in atypical benign epilepsy with centrotemporal spikes.

Authors:  Li Yang; Quanping Su; Na Xu; Liyun Xu; Juan Zhao; Chao Fan; Yufen Li; Baomin Li
Journal:  Medicine (Baltimore)       Date:  2020-10-30       Impact factor: 1.817

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